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

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NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/ch58wddxtx
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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.
创建时间:
2026-04-15
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