• Int J Med Sci · Jan 2025

    Review

    Research Trends and Dynamics in Single-cell RNA Sequencing for Musculoskeletal Diseases: A Scientometric and Visualization Study.

    • Siyang Cao, Yihao Wei, Yaohang Yue, Deli Wang, Ao Xiong, Jun Yang, and Hui Zeng.
    • National & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen, Guangdong, People's Republic of China.
    • Int J Med Sci. 2025 Jan 1; 22 (3): 528550528-550.

    AbstractBackground: Worldwide, approximately 1.7 billion people are afflicted with musculoskeletal (MSK) diseases, posing significant health challenges. The introduction of single-cell RNA sequencing (scRNA-seq) technology provides novel insights and approaches to comprehend the onset, progression, and treatment of MSK diseases. Nevertheless, there is a remarkable lack of analytical and descriptive studies regarding the trajectory, essential research directions, current research situation, pivotal research focuses, and upcoming perspectives. Therefore, the aim of this research is to present a comprehensive overview of the advancements made in scRNA-seq for MSK disorders over the past 15 years. Methods: It utilizes a robust dataset derived from the Web of Science Core Collection, encompassing January 1, 2009, through September 6, 2024. To achieve this, advanced analytical methodologies were applied to conduct thorough scientometric and visual analyses. Results: The findings underscore the preeminent role of China, which contributes 63.49% of the total publications, thereby exerting a substantial impact within this research domain. Notable contributions came from institutions such as Shanghai Jiao Tong University, Sun Yat-sen University, and Harvard Medical School, with Liu Yun being the leading contributor. Frontiers in Immunology published the greatest number of research papers in this field. This study identified joint diseases, bone neoplasms, bone fractures, and intervertebral disc degeneration as the main research focuses. Conclusion: This extensive scientometric analysis provides substantial benefits to both experienced and novice researchers by facilitating immediate access to critical data, thereby fostering innovation within this field.© The author(s).

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