ORIGINAL RESEARCH article
Front. Hum. Neurosci.
Sec. Brain Health and Clinical Neuroscience
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1614132
Bibliometric Analysis of Neural Injury Biomarkers in Neurodegenerative Diseases: Research Trends and Future Perspectives
Provisionally accepted
- 1The First Hospital of Kunming, Kunming, China
- 2Lincang People’s Hospital, Lincang, China
- 3The First People’s Hospital of Yunnan Province, Kunming, Yunnan Province, China
- 4Third People's Hospital of Honghe Prefecture, Gejiu, Yunnan, China
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Neurodegenerative diseases (NDs) are progressive disorders with an increasing global health impact. Neural injury biomarkers have emerged as potential tools for early diagnosis and disease monitoring. To map research trends in this field, we conducted a comprehensive bibliometric analysis of 1,228 peer-reviewed articles published from 1991 to 2024 using CiteSpace and the Bibliometrix R package. Our analysis revealed steady publication growth, particularly accelerating after 2015. The United States, United Kingdom, and China produced the highest volume of publications and citations, with institutions such as the University of California System and Harvard University serving as key collaboration hubs. Early research prioritized tau, amyloid-beta (Aβ), cerebrospinal fluid (CSF), and mild cognitive impairment (MCI). Since 2020, the focus has expanded to blood-based biomarkers, exosomal microRNAs, and inflammationrelated markers such as glial fibrillary acidic protein (GFAP) and translocator protein (TSPO). Through citation and clustering analyses, we identified three developmental phases: (1) CSF-based amyloid/tau validation, (2) multimodal and genetic biomarker integration, and (3) the emergence of plasma and neuroinflammatory markers. These trends reflect a paradigm shift toward minimally invasive and multifactorial diagnostic approaches. Our findings underscore evolving priorities in NDs biomarker research and highlight the importance of multi-omics, artificial intelligence (AI), and interdisciplinary collaboration for translational discovery and clinical application.
Keywords: Neural Injury Biomarkers, Neurodegenerative Diseases, Multimodal biomarkers, Citation analysis, bibliometric analysis
Received: 18 Apr 2025; Accepted: 02 Jun 2025.
Copyright: © 2025 Pa, Shen, Dai and Wu. 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) or licensor 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: Chengzhou Pa, The First Hospital of Kunming, Kunming, China
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