ORIGINAL RESEARCH article
Front. Mol. Biosci.
Sec. Metabolomics
Volume 12 - 2025 | doi: 10.3389/fmolb.2025.1608743
Global Research Trends and Emerging Themes in Osteosarcoma Metabolomics
Provisionally accepted
- 1Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- 2Guangxin District People's Hospital, Shangrao, China
- 3Changshu No. 2 Peoples’ Hospital, Changshu, China
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This study systematically analyzed the global research landscape of metabolomics in osteosarcoma using bibliometric methods to identify research trends, knowledge structures, and future directions. Publications related to osteosarcoma and metabolomics were retrieved from the Web of Science Core Collection, with CiteSpace, VOSviewer, and Bibliometrix used to analyze publication trends, geographic and institutional collaboration, author networks, keyword co-occurrence, clustering, and co-citation patterns. A total of 1,188 eligible articles published between 1995 and 2024 were included, revealing substantial growth in publications and citations over the past decade, with China leading in output volume.High-frequency keywords such as "biomarkers," "prognosis," and "chemoresistance" reflected a research focus on tumor progression and therapeutic resistance, while clustering and burst analyses identified emerging topics like extracellular vesicles, microRNAs, and immune metabolism. Co-citation analysis demonstrated a knowledge foundation rooted in molecular profiling and translational research, with recent interest in spatial and single-cell metabolomics suggesting a shift toward high-resolution metabolic characterization. This bibliometric study highlights the evolving research priorities and methodological advances in osteosarcoma metabolomics, providing a comprehensive reference for researchers to understand thematic trends, identify knowledge gaps, and guide the development of more precise and integrated metabolic strategies for diagnosis and treatment.
Keywords: Metabolomics, Osteosarcoma, bibliometrics analysis, chemoresistance, biomarkers
Received: 09 Apr 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 Wu, Xu, Liu, Ge and Yan. 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:
Heng'an Ge, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
Jian-feng Yan, Changshu No. 2 Peoples’ Hospital, Changshu, China
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