Bibliometric Dataset of Research on Obesity, Diabetes, and Osteoporosis–Sarcopenia

This dataset is based on the bibliometric hypothesis that research on obesity, diabetes, osteoporosis, and sarcopenia exhibits quantifiable patterns of academic output and collaboration worldwide. Relevant literature from 1991 to 2025 was retrieved from the Web of Science Core Collection (WOSCC), comprising 2,831 publications. Collected data included publication year, country/region, institution, author, journal, citation counts, references, and keywords.
Analysis indicated overall growth in the field, with 140,062 total citations (131,781 excluding self-citations) and an H-index of 164. Annual publication output increased markedly since 2014 and stabilized between 2022 and 2024, suggesting the field is reaching maturity. The United States led in publication volume, H-index, and citations, while China showed rapid recent growth. Harvard University and the University of California system were the most productive institutions, and Nutrients, Frontiers in Endocrinology, and PLOS ONE were the leading journals. Highly cited authors included Ferrucci L and Choi KM. Co-citation and keyword analyses highlighted core references, research hotspots, and emerging topics such as insulin resistance, sarcopenic obesity, osteoporosis, and metabolic syndrome.
These data provide a resource for analyzing global research trends, collaboration networks, influential authors and journals, and emerging topics, supporting systematic reviews, scientometric studies, and research planning.

本数据集基于文献计量学假说：针对肥胖、糖尿病、骨质疏松症与肌肉减少症的全球学术产出与合作模式具备可量化特征。研究团队从Web of Science核心合集（Web of Science Core Collection, WOSCC）中检索了1991年至2025年的相关文献，共计2831篇出版物。收集的数据涵盖发表年份、国家/地区、科研机构、作者、期刊、被引频次、参考文献及关键词。
分析结果显示该领域整体呈增长态势，总被引次数达140062次（排除自引后为131781次），H指数为164。2014年以来年度发文量显著攀升，2022至2024年趋于稳定，表明该领域已趋近成熟阶段。美国在发文量、H指数及被引总量上均位列全球首位，而中国近期增长势头迅猛。哈佛大学与加州大学系统为发文量最高的科研机构，《Nutrients》《Frontiers in Endocrinology》与《PLOS ONE》是该领域的核心期刊。高被引作者包括Ferrucci L与Choi KM。共被引分析与关键词研究揭示了领域核心参考文献、研究热点及新兴主题，如胰岛素抵抗、肌少性肥胖、骨质疏松症与代谢综合征。
本数据集可为全球科研趋势分析、合作网络构建研究、高影响力作者与期刊研判以及新兴主题探索提供支撑，助力系统综述、科学计量学研究与科研规划工作。