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SYSTEMATIC REVIEW article

Front. Med., 08 January 2026

Sec. Precision Medicine

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1615154

Visualization of childhood allergic diseases based on VOSviewer and CiteSpace


Yan WangYan Wang1Xiaoyu LiuXiaoyu Liu2Wenze Cui,Wenze Cui3,4Yinghua HuYinghua Hu5Wenhuan Song,Wenhuan Song3,4Likun Zhu,Likun Zhu3,4Zujun Wang,Zujun Wang3,4Xiaolu Ji,Xiaolu Ji3,4Youpeng Wang
Youpeng Wang6*
  • 1Heilongjiang University of Chinese Medicine, Harbin, China
  • 2Weihai Central Hospital, Weihai, China
  • 3Binzhou Medical College Affiliated Traditional Chinese Medicine Hospital, Binzhou, China
  • 4Binzhou Medical University, Yantai, Shandong, China
  • 5Binzhou People's Hospital, Shandong, China
  • 6Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China

Introduction: Childhood allergic diseases, such as eczema, allergic rhinitis, bronchial asthma, and cough-variant asthma, are a growing health concern around the world. There is a lot of research about these diseases, but a clear and complete study is still needed to better understand them and help guide future research.

Methods: This study used a bibliometric analysis of research on childhood allergic diseases from 2014 to 2024. The main goal was to find patterns in publications, main researchers, research focuses, teamwork between groups, and new topics. Data were collected from Web of Science, Scopus, and PubMed. The study included English-language articles and reviews only. The tools VOSviewer and CiteSpace were used to study publication patterns, where research was done, which authors and journals worked together, how often papers were cited together, which papers were cited the most, and how keywords appeared and formed groups.

Results: The amount of research was different for each disease. Eczema got the most attention and kept growing. Cough-variant asthma had fewer studies. The United States and China were the main countries that did most of the work and had well-known authors. The focus of studies changed from general studies about disease spread to more detailed topics like the microbiome, genetics, special treatments, environmental causes, other health problems that happen together, and the effects of COVID-19. The way researchers worked together was not the same for all diseases. This showed that research was more developed and better connected for some diseases and less developed for others, mainly for cough-variant asthma.

Conclusion: This study gives a short look at recent research on childhood allergic diseases. It shows that eczema research is growing fast, but cough-variant asthma is still studied much less, with only 110 papers in 10 years. This big difference shows a clear lack of knowledge. These results can help make better research plans and improve medical care in this field.

1 Introduction

1.1 The growing global health challenge of childhood allergic diseases

This study examines four major childhood allergic diseases: eczema (atopic dermatitis) (1), allergic rhinitis (2), bronchial asthma (3), and cough-variant asthma (4). These diseases are a big problem in child healthcare and public health. They were chosen because they are key parts of what is called the “allergic march.” This means they involve the skin (eczema), the upper airways (allergic rhinitis), and the lower airways (bronchial asthma and cough-variant asthma). These are some of the most common long-term illnesses in children. They share similar disease processes, so studying them together helps in understanding allergic problems in the whole body. Other diseases like food allergy are also important, but they have different immune causes and treatment methods, so they were not included. This makes the study focused on skin and airway allergic diseases.

Such diseases are prevalent worldwide, with incidence rates either high or increasing, and impact the immediate and long-term health of millions of children. Eczema, the most common chronic inflammatory skin disease in young children, is one that causes intense itching and seriously decreases the quality of life of affected families. It is often also regarded as the initial stage of this person's “allergic process” (5), and is one of the key examples for understanding the range of childhood allergen diseases, so that the focus of this research is to shed light on them. Allergic rhinitis is also the most common chronic lower airway disease in children and is associated with recurrent nasal symptoms, which adversely interrupt sleep and learning. It can also be comorbid with asthma (6). It can be regarded as one of the important associations in studying the relationship between the upper and lower airway diseases. Bronchial asthma, or the most common chronic lower airway disease in children (7), is another chronic allergic disease and is characterized by recurrent airway inflammation and hyper-responsiveness. In addition, this disease poses a substantial burden on the health of young children, posing a significant threat to their lung health in the long term; hence, it is of great importance in this study. Both cough-variant asthma, characterized by chronic coughing, is often misdiagnosed because of its abnormal presentation. It stands out as less discussed and understudied, although it is consistent with airway inflammation, which may evolve or transform into typical asthma (8). Meanwhile, these disorders all interfere with the body's normal physiological functions for healthy function, including sleep, breathing, and activity, implying that they significantly affect psychological development, socializing, learning ability, and overall quality of life for children (9). The chronic nature, co-morbidities, and socio-economic costs of these illnesses call for meticulous and systematic research. This study is essential for advancing Pediatrics, and addressing rapidly developing global health challenges to ensure the well-being of children, thereby emphasizing that a detailed understanding of current trends, hotspots, and research frontiers in this domain is critical for optimizing clinical practice and guiding future research pursuits.

1.2 The need for a bibliometric analysis of allergic diseases in children

With a drastic rise in clinical and social interest, the body of scientific research literature in pediatric allergic diseases has grown rapidly during the past decade. The plethora of research papers, reviews, and reports reflects vigorous advancement within the domain, but it is also challenging researchers to comprehend the overall knowledge structure, crucial advances, and future trends in time-satisfying ways. Traditional methods of literature review struggle to cope with such massive body of information. As per this requirement, bibliometrics, an objective and quantitative method of analysis, is especially needed (10). With the help of Bibliometrics, it is simple to systematically organize huge volumes of literature data, depict macro-trends, hot points, major contributors, and collaboration networks in the form of visual maps, providing a structured overview of the entire knowledge (11). This study employs two leading bibliometric software tools, VOSviewer and CiteSpace, leveraging their complementary strengths. VOS viewer is able to generate clear and static-network maps of collaborations and co-occurrences while Cite Space excels in temporal analysis, detecting emerging trends and pivotal points in the timeline of research. We combine these two programs to yield a comprehensive and dynamic overview. This paper lays the scientific framework of our study, whereby we have used bibliometric techniques to analyze the literature on major pediatric allergic diseases, the objective being to present the current status and trends of the domain objectively and to provide valuable references for future studies and clinical practice.

2 Research methodology

2.1 Data sources and search strategies

Data were collected from three significant academic databases to inform the current research study. The databases included were the Web of Science Core Collection (WoSCC), Scopus, and PubMed. Each search was terminated on 1st April 2025 to ensure the findings of our study extracted the latest published data between 2014 and 2024. To ensure a broad representation of the pediatric allergic diseases, our literature search targeted four major disorders: Eczema (Atopic Dermatitis), Allergic Rhinitis, Bronchial Asthma, and Cough-Variant Asthma. Methods of the search strategy are described in the Annex as well.

The search strategy was conducted using a combination of subject terms (TS), title-abstract-keywords (TITLE-ABS-KEY), and medical subject headings (MeSH Terms). This combo of terms was utilized to achieve precision in searches. The search was confined to literature related to Children and encompassed keywords such as “children”, “infantile”, “child”, “childhood”, and “pediatric” to get the search as per the Children's context. Further, it focused on literature by the English language and targeted literature categorized under “Article” and “Review”. Literature like editorial materials, Meeting Abstracts, Letters, News Items, Book Chapters, etc., which do not pertain to academic research, was excluded to keep the research-centric results.

2.2 Data collection and processing

Separately, two scientists performed a literature search to maximize completeness. Selection of the articles was done according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), which is illustrated in the PRISMA flow chart (Annex B for a flow diagram). Following the search, records of articles, including their titles, authors, abstracts, keywords, journals, years of publication, references, citation data, authors' affiliation details, country/region details, were extracted in plaintext form from all the three database entries and saved in EndNote (ris) format (12).

Since the data structure, field names (such as author, country, institution) and the naming conventions of the four databases vary in different ways, directly merging them might cause the results to be biased. Accordingly, raw data from the three databases were stored and combined using EndNote X9, and detailed checking helped to remove the duplicate records. The final dataset contained 18,734 records belonging to eczema, 10,262 to allergic rhinitis, 14,937 to bronchial asthma, and, 110 to cough-variant asthma after deduplicating and combining. The merged repository was used as the raw dataset for the following bibliometric analysis.

2.3 Bibliometric analysis and visualization

The principal tools employed in this study were bibliometric data management and visualization software VOSviewer (VOSviewer Version 1.6.20) and CiteSpace (CiteSpace Version 6.4. R1). We chose these tools for two reasons: VOSviewer is particularly effective for visualizing static structural networks (e.g., co-authorship, keyword co-occurrence), while CiteSpace delivers excellent results in temporal analyses, such as detecting keyword bursts and constructing timeline views, offering a more dynamic examination of how the research landscape developed. Microsoft Excel 2021 was also used to organize basic data and graph annual publication trends. The analysis included several specific elements:

(1) Publication pattern analysis: we used Excel to count the publication quantities by year for each disease domain and constructed a line figure (Figure 1) emphasizing research trends from 2014 to 2024.

(2) Volume analysis of countries/regions and research institutions. VOS viewer and Cite Space considered publication volumes, cooperation networks, and countries/regions, and research institutions' centrality. Our analysis found that those countries/regions and institutions had the most publications (Table 1) and constructed collaboration network figures.

(3) Author and co-cited author analysis:

Author analysis: we examined the core author groups and their authors' cooperation networks via VOS viewer (Figure 2). We counted both highly producing authors, publication amounts, mean publication years, and the corresponding citation quantities (Table 2).

Co-Citation authors analysis: we identified influential scholars in each domain and their citation counts via VOS viewer or Cite Space by constructing co-cited author net (Figure 2), with the results indicating the base of the research domain and knowledge structure.

(4) Analysis of journals and co-cited journals:

Journal analysis: we collected statistics about major journals publishing the relevant literature, their publication counts, and combined this with impact factors (IF) and JCR partition information (Table 3), which were used to evaluate the journal influence in the field co-cited journals. We used VOSviewer or CiteSpace to construct the co-citation network among these journals with co-cited authors to detect relevant core sources and their citation frequency (Table 3).

(5) Analysis of highly cited and co-cited literature:

Highly cited literature review: in each domain of disease, we identified literature with the best citation counts (Table 4). We then analyzed the type of themes and contributions, revealing key research results in this domain.

Co-cited literature review: CiteSpace conducted co-citation cluster analysis (Figure 5) and emergent literature detection to identify frontiers of research and milestone the important works (Figure 6).

(6) Keyword analysis:

Keyword co-occurrence analysis: VOS viewer constructed a coefficient co- occurrence network figure (Figure 7), revealing hotspots in research.

Keyword Clustering and Timeline Diagram: CiteSpace clustered and analyzed keywords, generated cluster labels, and drew a keyword timeline view (Figure 8) to show the research topic's evolutionary path.

Keyword Emergence Analysis: CiteSpace detected keywords with emergent growth (Figure 8) to identify research frontiers and trends.

Figure 1
Bar chart showing the number of documents from 2014 to 2024 related to different conditions: cough-variant asthma, eczema/atopic dermatitis, allergic rhinitis, and bronchial asthma. The highest numbers occur in 2020, with eczema/atopic dermatitis leading at 1,488. Bronchial asthma consistently has high numbers across all years.

Figure 1. Bibliometric analysis of eczema, bronchial asthma, allergic rhinitis. Cough-variant asthma (2014–2024).

Table 1
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Table 1. Top 10 countries/ regions and organizations related to eczema, allergic rhinitis, bronchial asthma, and cough-variant asthma.

Figure 2
Four network visualizations labeled A, B, C, and D show clusters of connected nodes in various colors, created with VOSviewer. Diagram A features blue, red, and green clusters; Diagram B presents red, green, blue, and purple clusters; Diagram C displays red, blue, and green clusters; Diagram D illustrates a linear structure with green, blue, and red clusters. Each node represents an entity, with lines indicating connections.

Figure 2. Bibliographic coupling networks of authors. (A) Bibliographic coupling network for eczema; (B) Bibliographic coupling network for bronchial asthma; (C) Bibliographic coupling network for allergic rhinitis; (D) Bibliographic coupling network forcough-variant asthma. In these networks, each node represents an author. Node size corresponds to the number of publications. Lines between nodes indicate that two authors cite a common third work, with thicker lines denoting a stronger relationship. Node color represents distinct author clusters.

Table 2
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Table 2. Top 10 authors and co-cited authors related to eczema, allergic rhinitis, bronchial asthma, and cough-variant asthma.

Table 3
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Table 3. Top 5 journals and co-cited journals related to eczema, allergic rhinitis, bronchial asthma, and cough-variant asthma.

Table 4
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Table 4. Top 5 references related to eczema, allergic rhinitis, bronchial asthma, and cough-variant asthma.

In the visual network graphs created by VOSviewer and CiteSpace, nodes represent analysis objects (e.g., countries, institutions, authors, keywords), and node sizes reflect their publication numbers, citations, or occurrence frequency. Lines between nodes indicate cooperative, co-occurring, or co-cited relationships, and their thickness represents relationship strength. Different colors distinguish clusters or time periods.

3 Results

3.1 Trends in the number of publications

After harmonizing and consolidating the data, the final dataset included 18,734 articles on eczema, 10,262 on allergic rhinitis, 14,937 on bronchial asthma, and 110 on cough-variant asthma. Figure 1 shows the publication trends for these four childhood allergic diseases from 2014 to 2024. Eczema was the topic studied the most, producing a growing number of papers from 2014 to 2024, with the number of studies reaching 1,544 in 2019 and peaking at 1,488 in 2020. Therefore, the steady increase between 2019 and 2024 implies that eczema has become an increasingly important topic of research, particularly within the context of allergic conditions in pediatric populations. in addition to the prevalence of eczema and its clinical burden, as well as the potential impact on the young people's lives (13). Based on this analysis, it seems reasonable to assume that the research interest in this topic will continue to grow in the foreseeable future.

Bronchial asthma ranks second in terms of publication volume. As it can be seen in Figure 1, from 2014 to 2023, the number of publications stayed consistent with an average of about 1,100, yet we also observe a noticeable drop in print volumes beginning in the year 2022, which dropped to 979 by the year 2024. While interest is clearly still high in research in this area, this trend suggests a possible maturity of the research fields or a repositioning of research emphasis that does not continue the broad studies on bronchial asthma, as contrasted with the growth of eczema research. The fluctuations of these print volumes over time could be indicative of variations in research interests, availability of resources, or other aspects influencing research in this field.

Allergic rhinitis, among child allergic conditions, is one of the overlooked conditions in comparison to eczema and bronchial asthma. Posters on allergic rhinitis reported fairly steady numbers from 2014 to 2019 and after an inconclusive rise between 2020 and 2021, this rise lasted poorly for one year only, then, over the next three-year period, publications on allergic rhinitis declined, and stabilized once again in 2019 with a tiny number at 1,028 publications by 2024, demonstrating the widespread international agreement and long-sought continued, albeit fluctuating, interests of researcher(s)s in studying allergic rhinitis in children, with the prevalence of allergic rhinitis being probably one reason for this continuation of research (14).

Conversely, cough-variant asthma has the poorest research interest among the four diseases. In 2014, only seven relevant publications were released, whereas fluctuations resulted in a maximum of 27 studies by 2024. This trend indicates that though there is a clinical indication for research studies of cough-variant asthma, international attention is scarce, and no relevant studies were found. While cough-variant asthma (15) takes primary attention in the guidelines issued by GINA, the lack of knowledge and the imperfect distribution of research resources probably resulted in the insufficient number of studies done.

3.2 Distribution of countries and institutions

Having analyzed the research distribution by countries and institutions, a few discrepancies in the number of studies were found as a consequence of the different methods of combining the data. These differences were however quite negligible, and the general trend remained similar. It can be concluded that, during the last 10 years, research was performed globally in many countries and institutions about childhood allergic diseases; only in the case of imbalance.

According to Table 1, the research on eczema and bronchial asthma in the United States is the highest, with four thousand six hundred fifty-six (4,656) and 12,787 (the highest globally) articles, respectively. However, research of allergic rhinitis and cough-variant asthma in China takes up first spot with 5,267 and 199 articles, respectively. Notably, Japan, Italy, and South Korea have made significant contributions to pediatric allergic disease research.

In China, Capital Medical University, China Medical University Taiwan, Nanjing University of Chinese Medicine, and Sun Yat-sens University have all produced a large handful of highly cited publications. For an look at the Us, Harvard Medical School, the University of California, and Cincinnati Children's Hospital Medical Center have made essential contributions to research into eczema and bronchial asthma. At a high level, childhood allergic disease is a field where the United States and China dominate.

3.3 Distribution of authors and cited authors

A network analysis of the children's allergic disease cohort study (Figure 2) demonstrates consistent research patterns and interaction networks for different conditions. E-maw (Figure 2A), which has received the highest attention, has the most intricate research networks. The blue network with the center at Silverberg, JI, was special and depicts a wide concern for research around the condition and a growing cross-disciplinary research trend.

Bronchial asthma (Figure 2B), with less literature, displays a powerful network composed of Phipatanakun, W, and Zhang, Y. Multiplethed clusters denote loose global collaboration, suggesting a well-established centralized architecture has failed to form, despite advancements in pharmacological (16), epidemiological (17), and environmental studies (18).

Allergic rhinitis (Figure 2C). There's a somewhat dominant but loosely-related trend, with a few teams focusing on Ciprandi, G, who've made major contributions to certain areas of research. Cough variation asthma (CVA) (Figure 2D), which is relatively underdeveloped at the moment, also displays a notable decline with publications. There's a subset of dozens of authors, led byHUOAOCHaoCL, who's made notable research contributions in the course of years, but its teamSize remains scant and loosely related. There are several potential bottlenecks for how this area could develop in the future.

Regarding core scholars and thematic focal points, the analysis of co-cited authors (Figure 3; Table 2) provides some perspective. The field of eczema investigation has been largely researched but is still quite dispersed. The most frequently cited scholar is Silverberg, JI, with 229 publications and 3,058 references. Asher, MI, and Wollenberg, A make substantial contributions to mechanistic (19) and epidemiologic studies (20), respectively.

Figure 3
Four network maps generated by VOSviewer software labeled A, B, C, and D. Each map uses different colors to represent clusters of related terms, including “humans,” “children,” “asthma,” “allergic rhinitis,” and other medical-related terms. The visualizations highlight the connections and prevalence of these terms across studies or datasets, with clusters indicating areas of specific focus such as “allergy,” “atopic dermatitis,” and “general & internal medicine.”

Figure 3. Co-citation networks of authors. (A) Co-citation network for eczema; (B) Co-citation network for bronchial asthma; (C) Co-citation network for allergic rhinitis; (D) Co-citation network for cough-variant asthma. In these networks, each node represents an author. Node size is proportional to the number of times the author has been co-cited. Lines between nodes indicate a co-citation relationship, with thicker lines showing higher frequency. Node color represents distinct author clusters.

An active and centralized network in bronchial asthma (Figure 3B). Bousquet, J has 1277 citations and leads research in co-morbitbidities. Eastern of them are Bisgaard, H, who specializes in intestinal flora (21); Asher, MI an expert in epidemiological research; and Ciprandi, G has 78 publications and 438 citations; the condensed network means high potential for collaboration in this field.

Allergic rhinitis (Figure 3C) has a relatively loose network, dominated by Bousquet, J, with 256 citations. Key contributions are from Asher, MI, focusing on epidemiology; Durham, SR, addressing immunotherapies (22); and Phipatanakul, W, with 134 articles and 172 citations. Research has delved into big data and therapeutics for clinical translation.

CVA (Figure 3D) is in early, fragmented stages. Chang, AB, and Bateman, ED, are key experts and etiologic cores. Hao, CL, with 4 articles and 36 citations, has limited impact, but research is expected to deepen as attention increases.

3.4 Distribution of journals and co-cited journals

Table 3 and Figure 4 examine the citation patterns found in academic journals and identify the key research hotspots, hotspot trends, and the contribution of each journal toward childhood allergic disease research. The interrelationship between literature sources demonstrates the key roles played by eczema, bronchial asthma, allergic rhinitis, and cough variant asthma and the major role played by some cornerstone journals.

Figure 4
Four panels labeled A, B, C, and D display graphs and lists of the top keywords with the strongest citation bursts. Each panel includes a table of keywords with their respective years and strength of bursts, paired with a connected graphical visualization illustrating citation patterns from 2000 to 2020. The charts use colorful circular nodes connected by lines to depict network relationships, with a color scale indicating the strength of the citation bursts.

Figure 4. Bibliographic coupling networks of journals. (A) Bibliographic coupling network for eczema; (B) Bibliographic coupling network for bronchial asthma; (C) Bibliographic coupling network forallergic rhinitis; (D) Bibliographic coupling network for cough-variant asthma. In these networks, each node represents a country or region. Node size is proportional to the number of publications from that country. Lines between nodes indicate a co-authorship relationship, with thicker lines representing stronger collaboration. Node color represents distinct country clusters.

A centralized academic network has evolved in eczema research, and among all journals reviewed, a few are leading in the study of childhood allergic diseases. “Allergy” and “Journal of Allergy and Clinical Immunology” are the two most cited and should thus be perceived as the key dissemination channels. Studies largely tend to concentrate on the pathophysiology (23) and treatment of eczema, notably the biomedical effectiveness of several medications (24).

Over ten years, “Allergy” published 388 publications on eczema, and its impact factor was 12.6, ranking in the first quartile (Q1) of Journal Citation Reports (JCR). The Journal of Allergy and Clinical Immunology was ranked as the next high ranking in eczema with 235 publications and an impact factor of 11.4.

Although the bronchial asthma network is fragmented like in the coupled network, it does not suffer from a tight coupling, and some high-impact journals account for a lot of publications. Among various journals, “J Asthma” ranks first in studying the pathogenic mechanisms, diagnosis, and therapy of childhood bronchial asthma, with 775 publications, and an impact factor of 1.7. “Pediatric Pulmonology” ranked second with 471 published works and an impact factor of 2.7, for the study of health control and prognosis of bronchial asthma (25). Children's bronchial asthma now has a wide international research volume and depth, providing a lot of possibilities in exploring personalized treatment methods.

Journal relationship is more centralized in the studies on allergic rhinitis in children than eczema and bronchial asthma, which, like eczema, “Allergic” is the leading publication in allergic rhinitis (243), focusing on genetic and the emerging therapeutic approach. There is “Pediatric Allergy and Immunology”—the second largest journal on allergic rhinitis, emphasizing the effect of genetic factors on allergic rhinitis in children (26). Hence, it is obvious that genetically influenced factors are a priority trend of new researches to investigate the allergic rhinitis in children.

Research on cough-variant asthma in children is in its early stages but has evolved significantly in recent years. Key journals like “Medicine” and the “Journal of Asthma” have published important studies on the clinical manifestations and treatment of this condition (27). Although there is currently no centralized research network for cough-variant asthma among childhood allergic diseases, this is expected to change as interest and research efforts intensify.

3.5 Analysis of citations and co-cited literature

The analysis of highly cited literature identifies key research hotspots, emerging trends, and clinical potential in pediatric allergic diseases. Key studies in eczema research are Tamburini (2016), cited 782 times, and Jakobssen (2014) with 690 citations. Both studies discuss the important factor of microflora, notably gut flora, in the development of allergic diseases, with a particular focus on eczema. Another significant study is Eichenfield's study of specific treatments of childhood eczema with 926 tweets (2014b). This research is the starting point for customizing treatment methods for eczema patients, providing substantial evidence for personalization of treatment. The high number of citations given to these studies is an clear sign of the strengthening and deepening of eczema research in children.

In bronchial asthma research, Sorino (2017), with 1,263 citations and Dharmage (2019), with 679 citations, focus on the field's epidemiology, covering mortality and prevalence. Chung's (2014), with 2,864 citations, stands out, offering significant contributions to advancing conceptual, diagnostic, and treatment guidelines for asthma. Overall, these studies underscore the conceptual framework of bronchial asthma in childhood allergic diseases and have laid a robust ground in advancing personalized treatment options.

In terms of research on pediatric allergic rhinitis, two studies have been particularly influential. Roberts (2018), with 1,754 citations, and Huang (2019d) with 1,409 citations, have made breakthroughs in the field. For instance, Huang demonstrated with comprehensive evidence that allergic rhinitis and atopic dermatitis were linked, reinforcing the interconnected nature of these inflammations within the same immune system. D'amato's study (2015), with 511 citations, has also made significant contributions through the exploration of innovative immunotherapeutic treatments for allergic rhinitis, providing firm evidence in the pursuit of personalized responses.

Regarding pediatric cough variant asthma, Morice (2020)' study with 482 citations emerged as noteworthy due to its attention to the establishment of criteria for the normalization of diagnosis and treatment methods. Sun's study with 19 citations (2019), in contrast, concentrated on the medications necessary to regulate the care of youth suffering from cough variant asthma. These studies' high cites reflect on emerging areas of interest in the research on Childhood cough variant asthma.

Co-citation analysis in eczema research highlights Hanifin JM's significant contributions and broad impact. Asher MI's studies in 1995 and 2006 explored eczema's pathomechanisms and epidemiology, respectively. In bronchial asthma research, spirometry standardization by Miller MR (2005) and Crapo RO (2000) underscores its critical role in diagnosing pediatric bronchial asthma. In allergic rhinitis research, Bousquet J (2008) detailed the link with bronchial asthma, while Asher MI (2006) conducted a comprehensive multinational survey on its prevalence. In cough variant asthma research, Corrao WM (1979) established its link with bronchial asthma, and Chang AB (2006) developed evidence-based management guidelines for children. In conclusion, allergic diseases in children are increasingly a research focus globally, with research depth gradually increasing. This trend indicates a promising future for individualized and refined treatments (Figures 5, 6).

Figure 5
Four network visualizations labeled A, B, C, and D display clusters of interconnected nodes using VOSviewer. Each graph shows nodes in red, green, and blue, representing different groups or themes. Nodes are labeled with names, indicating authors or entities, with prominent names like “silverberg j,” “bousquet j,” “bisgaard h,” and “chang ab.” The diagrams illustrate complex relationships and associations between these nodes with lines connecting them. The layouts suggest a structured and connected network.

Figure 5. Citation networks of key. (A) Citation network for eczema; (B) Citation network for bronchial asthma; (C) Citation network forallergic rhinitis; (D) Citation network for cough-variant asthma. As initially noted, the scope of the study analyzes will be defined by the selection of the search keywords. While it is easy to claim that the selected terms were comprehensive, it is possible that there were niche or still-emergent sub-main-topic areas that may have used these keywords. So, the whole area of research may be underrepresented.

Figure 6
Four network visualizations labeled A, B, C, and D, depicting clusters of connected terms and journals related to allergy, asthma, and medicine. Each network shows various colored nodes and lines representing relationships and co-occurrences, generated using VOSviewer.

Figure 6. Co-citation analysis of key references. (A) Co-citation network in eczema; (B) Co-citation network in bronchial asthma; (C) Co-citation network in allergic rhinitis; (D) Co-citation network in cough-variant asthma. In these networks, each node represents a journal. Node size corresponds to the number of co-citations the journal has received. Lines between nodes indicate that two journals are cited together, with thicker lines denoting a stronger co-citation relationship. Node color represents distinct journal clusters.

3.6 Keyword analysis

Bibliometric analyses provide valuable insights into trends and emerging research hotspots in childhood allergic diseases, including eczema, bronchial asthma, allergic rhinitis, and cough variant asthma. Figures 7, 8 show the changing research priorities for each disease over time using co-citation networks and keyword citation bursts. In eczema research (Figure 7A), the top five keywords—“humans,” “child,” “female,” “atopic dermatitis,” and “male”—align with the study topic. Keywords with the strongest citation bursts have been highlighted by the CiteSpace software to identify research frontiers and trends (Figure 8A). On the list, the earliest and most intense outbreak keyword was “priority journal” (2014–2020, intensity 301.84). Additionally, “childhood disease” (2014–2016, intensity 90.08) was the second most intense outbreak keyword. Notably, keywords like “skin biopsy” (2020–2024), “pediatric patient” (2021–2024), “body mass” (2021–2024), “abdominal pain” (2021–2024), “coronavirus disease 2019” (2021–2024), “human cell” (2021–2024), “calcineurin inhibitor” (2021–2024), “clinical outcome” (2021–2024), “upper respiratory tract infection” (2021–2024), and “atopic/drug therapy” (2022–2024) have seen a surge in citations through 2024. This ongoing surge indicates that these research areas have gained significant attention in recent years.

Figure 7
Four visualized co-authorship networks are labeled A, B, C, and D, displaying clusters of names and years in red, blue, and green nodes. Panel A centers on “michalek (2017),” Panel B on “chung (2014),” Panel C on “weidinger (2016),” and Panel D on “morice (2020),” with varying node sizes indicating connections. Each is generated using VOSviewer.

Figure 7. Research hotspots and trends. (A) Keyword co-occurrence network of eczema; (B) Keyword co-occurrence network of bronchial asthma; (C) Keyword co-occurrence network of allergic rhinitis; (D) Keyword co-occurrence network of cough-variant asthma. In these networks, each node represents a keyword. Node size reflects the frequency of the keyword's occurrence. Lines between nodes indicate that keywords appear together in the same publication, with thicker lines showing a stronger co-occurrence. Node color indicates the average publication year of articles containing the keyword.

Figure 8
Four network visualization maps labeled A, B, C, and D, display clusters of scholarly articles visualized using VOSviewer. Each map features colored nodes representing articles and lines indicating citation or co-authorship links. Green, blue, and red clusters suggest different thematic areas or research topics within the data set. Prominent names like “hanifin jm, 1980” and “miller mr, 2005” are highlighted, implying key articles or authors in those fields.

Figure 8. Dynamic trends: top 25 keywords with the strongest citation bursts. (A) Top 25 keywords with strongest citation bursts in eczema; (B) Top 25 keywords with strongest citation bursts in bronchial asthma; (C) Top 25 keywords with strongest citation bursts in allergic rhinitis; (D) Top 25 keywords with strongest citation bursts in cough-variant asthma. In these charts, the red bars indicate the time period during which a keyword experienced a significant 'burst' in citations, signaling its emergence as a research frontier. The 'Strength' value quantifies the intensity of this burst.

For bronchial asthma (Figure 7B), the five most relevant keywords, “humans,” “child,” “female,” “male,” and “asthma,” are in line with the study's subject. In the keyword burst network (Figure 8B), “sex factors” (2014–2016, intensity 20.01) was at the top, and “asthma/drug therapy” (2021–2024, intensity 155.61) was at the peak. In recent studies, “adrenal cortex hormones/therapeutic use” (2020–2024), “pulmonary disease” (2022–2024), “air pollutants/analysis” (2022–1974), “respiratory sounds/etiology” (2022–2024), “air pollution” (2022–2024), and “social determinants of health” (2022–2024) have been among the keywords. It is a new trend, which means the international concern for the move from demographic epidemiological research into the therapeutic consequences of a given drug and respiratory air pollution causative factors.

In the study of allergic rhinitis (Figure 7C), the keyword choices, “humans,” “child,” “asthma,” “allergic Rhinitis,” and “children” are relevant to the focus. On the keyword outbreak network (Figure 8C), “priority journal” (2014–2020, intensity 130.34) was the first and strongest keyword. The other ones became “adverse effects” (2014–2016, intensity 53.55), a second strong keyword; recent studies have given particular attention to keywords, including “human tissue” (2021–2024), “eosinophilic esophagits” (2021–2024), “pediatric patient” (2021–2024), ” coronavirus disease 2019” (2021–2024), “gastroesophageal reflux” (2021–2024), “clinical outcome” (2021–2024), “human cell” (2021–2024), “interleukin 13” (2021–2024), “meta-analysis” (2022–2024) “physical examination” (2022–2024) “examination” (2022–2024). The continued surge in citations of these keywords indicates that these study areas have attracted much attention recently.

For cough variant asthma (Figure 7D), the top keywords were “children,” “asthma,” “cough variant asthma,” “respiratory system,” and “general &internal medicine,” the subject of the study was in-line with. In the keyword burst network (Figure 8D), “bronchodilating agent” (2016–2019, intensity 0.89) was the oldest keyword and “airway inflammation” (2019–2021, intensity 2.04) was the strongest. There were also recent keywords, such as “asthma management”. The latest keywords were “asthma management” (2021–2024) “controlled study” (2022–2024) and “antiasthmatic agent” (2022–2024)? From the keywords citation surge, we figured out that recent researches had received popular interest on this topic.

4 Discussion

4.1 Summary of findings

This paper, using bibliometric techniques, examined studies on childhood eczema, allergic rhinitis, bronchial asthma, and cough-variant asthma from three major databases between 2014 and 2024. By mapping publication trends and research hotspots, this analysis provides an objective, quantitative answer to the questions raised in the introduction regarding the current state and future direction of this field. VOSviewer and CiteSpace software were used to visualize the Current Scenario and trends of the research in this area. The analysis revealed that the volume of research varies significantly. of which Eczema is the highest and is still growing. This shows that a sustained concentration of high interest in this area. Persequently, the second largest volume of research was related to bronchial asthma. The study of bronchiosomal asthma is an exciting area, having an extensive history. In recent years, however, there is a slightly declining trend in this field. This fall might not represent less importance but rather the evolution and maturation of the field itself (research transitioned from general epidemiological analysis to more focused, mechanism-based studies—e.g., certain endotypes, biologics, which may not be covered by broad search words, in contrast to increasing recognition of microbiome and newer therapies on eczema, which have been the driving force for its increased publication rates). Research on allergic rhinitis is somewhat small, with unpredictable trends. CVA is the weakest, and its supplies are significantly deficient. The power of research is primarily focused in the United States (most advanced in eczema and asthma) and China (most advanced in rhinitis and CVA). The biggest contributions are made by leading research institutions such as Harvard, the University of California, School of Copenhagen, and Capital Medical University.

In the case of the authors' network we have found that eczema is the most challenging field that highly supports international collaboration (i.e., Silverberg, Ji), asthma network is a most well-defined with a somewhat loxer core team (i.e., Phipatuan, W), Rhinitis has few but very highly-connected teams, and CVA is a highly fragmented collaboration (i.e., Hao, Cl). Co-citation analysis showed core scholars like Silverberg, Bousquet, and Asher as core scholars who formed the foundation of this research field. Eczema and rhinitis research is represented almost only by a few journals (Allergy: pathophysiology and treatment, genetics, rhinitis) while asthma research spreads over a wide array of journals such as J Asthma and a general coverage of topics. The research on CVA is still quite rare and fragmented.

Among the highly-cited literature for each area, milestones are identified for the microbiological research and treatment guideline development, epidemiology and diagnostic conceptualization in asthma, the advances on co-aborbities and immunotherapy in rhinitis, and the development of the diagnostic guideline in CVA. A keyword analysis identifies a shift over the years of focus of research, from epidemiology with a focus on early-stage studies to micro-mechanisms (microbiome, immune pathways, genetics), precision therapies (biologics, JAK inhibitors, AIT), co-morbidities management, environmentally determinism factors (air pollution), emergent factors (COVID-19), etc., and disease-specific studies (e.g., airway inflammation in CVA). However, the maturation level of these areas does not appear to be homogeneous over the fields.

4.2 Implications for future clinical research

The bibliometric analysis presented in this paper succinctly follows up on the introduction's description of the need for systematics and points to the knowledge gaps and future research directions for specific high-impact areas.

4.2.1 Deepening the exploration of mechanisms

The popularity of the “microbiome” in eczema research (e.g., Tamburini 2016, Jakobsson 2014; Figure 1), and the significant appearance of the keyword “air pollution” in asthma studies (Figure 8B), denote current research hotspots in these fields. Yet, much of the research is restricted to correlation-level. Likewise, “skin biopsy” in eczema research (Figure 8A) and “allergic rhinitis” (Figure 8C) represent active research areas. In addition, a core group of authors (Silverberg, Phipatanakul, and Ciprandi, Figure 2; Table 2), and active, but fragmented reviewer networks (Figure 2), underlines the importance to explore the cellular and molecular mechanism involved and the heterogeneity of these diseases in depth.

4.2.2 Optimization of treatment studies

“Asthma/drug therapy” (“adrenal cortex hormones/therapeutic use” astrama, Figure 8B), “calcineurin inhibitor” (eczema, Figure 8A), “antiasthmatic agent” (CVA, Figure 8D) are keywords frequently covered in literature. Biological agents (e.g., Thaçi 2016, Simpson 2020b) and highly cited studies on immunotherapies (e.g., D'amato 2015, Calderón 2015b; Durham co-citized, Table 2) further attest the importance of the treatment topic in recent research. This points to a need for further probing of precision and long-term treatment approaches.

4.2.3 Tackling research on co-morbidities

The emergence of the keyword “asthMA” for the context of allergic rhinitis, Figure 7C, combined with the high status and co-citation strength of Bousquet's prominent work (Table 2), as well as Bousquet's typical work (Bousquet 2008, Table 4), points to the interrelated importance of co-morbidivities in the field of asthma/AR. On the other hand, the emergence of the AR keyword “eosinophilic esophagitis” (Figure 8C), along with the presence of indirect allergic processes in the context of research on eczema, also points to the need to address co-morbidities, yet the author network (Figure 2) adjourn distribution (Figure 4) demonstrate that research in each of these areas remains largely separated, revealing an urgent need for integrating research.

4.2.4 Bridging the CVA research gap

Crucially, our analysis quantitatively confirms the significant knowledge gap in cough-variant asthma (CVA) that was a central motivation for this study. The very low number of CVAQ publications (110, Figure 1), the fragmented author network (Figures 2D, 3D), the nonexistent core journal support (Table 3), and keywords still referring to elementary concepts (“airway inflammation,” “asthma management,” “controlled study,” Figure 8D) clearly demonstrate that CVA has been a largely abandoned field in the arena of academic research. It is well established in the scientific literature that highly cited review articles (e.g., Morice 2020; Chang 2006) underscore a significant gap, pointing to the necessity for expanded basic and clinical research efforts.

4.2.5 Explore emerging technologies

The high volume of keywords referring to “meta-analysis” (Figure 8C), and “controlled study” (Figure 8D) denotes an increased need for quality evidence in research. Furthermore, a geographic restriction of geographic distribution of research power in China and United States denotes more international coherence of research. However, it necessitates a focus on more systematic research efforts in order to further expand the global footprint of the research work.

4.3 Implications for future clinical practice

The bibliometric analyses published so far have offered important reflections on clinical practice in the realm of pediatric allergic diseases, pointing to identified areas of concern and areas for improvement.

4.3.1 Need to improve diagnostic accuracy

The very low amount of documents on CVP (Figure 1) and fragmented author network (Figures 2D, 3D) clearly hint at substantial clinical underestimation and underdiagnosis of the condition. Consequently, despite the existing guidelines as marked by the high citations of Morice (2020), and the very high co-citations of Chang (Table 2), the low research attention implies an undermining of wide-spectrum of their recommended Application in clinical practice.

4.3.2 Move toward individualized treatment

Recent studies tend to be narrower, focusing on particular drugs (shown in Figure 8B), such as “adrenal cortex hormones/therapeutic usage,” targeted biological agents (Thaçi 2016, Simpson 2020b for eczema), or immunotherapies (such as in D'amato 2015 for AR; Durham co-cited, Table 2), and/or pathways (e.g., “interleukin 13.”) These trends indicate the move toward more specific targeting and, ultimately, toward precision medicine as therapies.

4.3.3 Implement co-morbidity assessment

Keywords for AR, such as “asthma” and “eosinophilic esophagitis” (Figures 7C, 8C), Bousquè's high-co-citation (Table 2) and associated high-c cited literature (Table 4) show that co-morbidity are universal clinical problems that need to be addressed.

4.3.4 Strengthen guidance on environmental factors

Keywords “air pollutution” appear in asthma studies (Figure 8B) and “microbiome” in eczema studies (highly cited literature, Table 4) demonstrate clearly that environment is a high-priority of researches.

4.3.5 Enhance patient self-management

Keywords “amthms management” (Figure 8D) and recurrent research in relation to various therapeutic agents (Figure 8), demonstrate clearly that successful treatment regimens management aspects contribute to the clinical outcomes. Guidelines for standard management requirements have to be given by highly cited guidelines (Table 4).

4.4 Strengths of the study

This paper has numerous strengths or, that is, it possesses an advantageous degree of reliability and comprehensiveness. The study adopts a plethora of data sources with three databases of note – Web of Science, Scopus, and PubMed, which ensure the search and the data collection are thorough and comprehensive. The research object is well defined and corresponds with a representative research subject. Four major childhood allergic diseases have been chosen with a well-defined search goal in mind. In adopting objective quantitative analysis, the researcher has employed a bibliometric approach and professional software; thereby minimizing the subjective element and quantitatively uncovering the research landscape. Moreover, visual presentations are embraced in order to convert abstruse, technical data into intuitive maps. Hence, it is easier to comprehend the structure of knowledge and patterns. The research was carried out with the aid of multidimensional analyses, which yield a panoramic view through the time, space, subject and content perspectives. It further acknowledges the frontiers (e.g., microbiomes, biologics, air pollution) and deficiency (e.g., weak CVA studies) of the field, to provide the readers with a valuable source for undertaking the relevant research and practice.

4.5 Limitations of the study

Even though the study has its strengths, there are quite a number of limitations associated with it. As initially noted, the scope of the study analyzes will be defined by the selection of the search keywords. While it is easy to claim that the selected terms were comprehensive, it is possible that there were niche or still-emergent sub-main-topic areas that may have used these keywords. So, the whole area of research may be underrepresented. There may be another constraint, and it is connected to language and type restrictions. So basically, this study cannot be the real research for non-English literature or for relatively recent developments when it came to these limitations. Even the best of attempts were undertaken by merging various databases and attempting to overcome the heterogeneity issue associated with them. Institution-and author-mastigging may have been affected as a result of the above-described challenges. It has to be added that bibliometrics is dependent on external characterization. Sometimes the study quality cannot be completely evaluated. There may be other factors like number of citations and so on, that influence the number of citations. The keyword extraction itself and more importantly the clustering operation depend upon citations and the algorithms that execute such operations. This is partially subjective, since any of all possible operations has to be employed. There may also be a kind of time lag between being able to begin with and obtaining results, and when the most recently published studies are included in that scope. Nonetheless, this study is likely to provide a systematic reference that is very valuable with regards to understanding research dynamics in this area.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

YaW: Writing – review & editing, Writing – original draft. XL: Writing – original draft. WC: Writing – review & editing, Writing – original draft. YH: Writing – review & editing. WS: Writing – original draft. LZ: Writing – review & editing. ZW: Writing – review & editing. XJ: Writing – review & editing. YoW: Writing – review & editing, Writing – original draft.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2025.1615154/full#supplementary-material

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Keywords: eczema, allergic rhinitis, bronchial asthma, cough-variant asthma, bibliometric analysis, childhood

Citation: Wang Y, Liu X, Cui W, Hu Y, Song W, Zhu L, Wang Z, Ji X and Wang Y (2026) Visualization of childhood allergic diseases based on VOSviewer and CiteSpace. Front. Med. 12:1615154. doi: 10.3389/fmed.2025.1615154

Received: 20 April 2025; Revised: 11 November 2025;
Accepted: 27 November 2025; Published: 08 January 2026.

Edited by:

Alice Chen, Consultant, United States

Reviewed by:

Mohammad Nizam Mokhtar, Univerisiti Kebangsaan Malaysia, Malaysia
Lina Wei, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, China

Copyright © 2026 Wang, Liu, Cui, Hu, Song, Zhu, Wang, Ji and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Youpeng Wang, d2FuZ3lwODg5OUAxNjMuY29t

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