骨髄間葉系幹細胞研究におけるサーチュインファミリー：Web of ScienceとRを用いた文献計量学的分析

This study presents a comprehensive bibliometric protocol for systematically mapping research trends and knowledge structures of the Sirtuins (SIRTs) family in bone marrow mesenchymal stem cell research. The protocol involves structured literature retrieval from the Web of Science Core Collection using predefined search terms, the application of explicit inclusion and exclusion criteria to screen English-language articles and reviews and in-depth bibliometric analysis via the bibliometrix package in R. Key methodological steps include data retrieval and cleaning, descriptive statistical analysis, keyword co-occurrence assessment, collaboration network mapping and the generation of thematic evolution and conceptual structure maps. Our analysis of 496 eligible articles (2009-2024) revealed a marked increase in annual publications, with China emerging as the leading contributor. Soochow University and author LI Y were identified as the most productive institution and author, respectively. High-frequency keywords included 'mesenchymal stem cells', 'oxidative stress' and 'SIRT1', with thematic mapping highlighting motor themes such as senescence and oxidative stress. This reproducible and transparent methodological framework not only delineates current research hotspots but also provides a rigorous, scalable approach for large-scale literature synthesis, supporting future scientific evaluations and trend assessments in the field with enhanced clarity and reproducibility.