骨髓中Sirtuin家族介质干细胞研究:用Web of Science和R进行图书统计分析
Yue Li1, Wenjun Jia2, Chunxia Chen3
1Department of Prosthodontics, Tianjin Stomatological Hospital, School of Medicine, Nankai University; Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction; liyue_tj@126.com.
Journal of visualized experiments : JoVE
|January 19, 2026
概括
这项研究使用图书识别技术绘制了 Sirtuin (SIRT) 研究中介细胞干细胞的地图. 关键主题包括氧化应激和衰老,其中中国的出版物领先.
科学领域:
- 生物医学科学 生物医学科学
- 干细胞生物学 干细胞生物学
- 生物信息学是一种生物信息学.
背景情况:
- 介质干细胞 (MSC) 在再生医学中至关重要.
- 赛尔图因 (SIRT) 在与MSC功能相关的细胞过程中起着重要作用.
- 了解SIRT和MSC的研究趋势对于推进该领域至关重要.
研究的目的:
- 开发和应用一个用于绘制Sirtuins (SIRTs) 在骨髓中介细胞干细胞 (BMSC) 研究的研究景观的文献计量协议.
- 确定这一研究领域的关键趋势,知识结构和有影响力的贡献者.
- 为未来相关领域的文献识别分析提供可重复的框架.
主要方法:
- 从Web of Science核心集合 (2009-2024) 中系统地检索文献.
- 在物品选中应用包含/排除标准.
- 使用"bibliometrix"R包进行图书法分析,包括关键词的同时出现,协作映射和主题演变.
主要成果:
- 对496篇文章的分析显示,随着时间的推移,出版物的数量显著增加.
- 中国是研究产出的领先国家;苏州大学和作者LI Y分别是最有成效的机构和作者.
- 高频率的关键词包括"介酶干细胞"",氧化应激"和"SIRT1",老化和氧化应激被确定为主要主题.
结论:
- 开发的图书识别协议为分析研究趋势提供了一种透明和可扩展的方法.
- 该研究概述了SIRT和BMSC当前的研究热点和知识结构.
- 这一框架支持未来的科学评估和干细胞研究的趋势评估,以增强可重复性.
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