癌症代谢重编程的当前热点和趋势:科学测量分析
Shanshan Yang1, Miaomiao Lin1, Shaodong Hao2
1Traditional Chinese Medicine and Integrative Medicine Department, Peking University First Hospital, Beijing, China.
Frontiers in immunology
|November 26, 2024
概括
癌症 (CA) 研究中的代谢重编程 (MR) 迅速扩大,揭示了关键趋势和有影响力的贡献者. 本文献分析强调了不断增长的科学成果和新兴的重点领域,以了解和准癌症代谢.
科学领域:
- 在瘤学瘤学.
- 代谢过程中的代谢.
- 图书统计学 图书统计学
背景情况:
- 癌症 (CA) 中的代谢重编程 (MR) 是一个具有重大治疗意义的关键研究领域.
- 了解MR/CA研究的知识格局对于确定未来方向至关重要.
研究的目的:
- 进行对MR/CA研究的文献分析.
- 评估科学成果,确定主要贡献者,并绘制研究趋势.
主要方法:
- 在 Web of Science (2006-2023) 上进行系统的文献搜索.
- 使用Biblioshiny,VOSviewer和Excel进行图书统计分析.
- 共同引用分析用于绘制概念结构和有影响力的出版物.
主要成果:
- 4,465个出版物被确定,从2006年到2023年间的快速增长.
- 中国和美国在出版物方面处于领先地位;主要期刊包括"瘤学前沿"和"细胞代谢".
- 新兴的主题包括瘤微环境,脂质代谢,非编码RNA,外体和免疫疗法.
结论:
- 本研究提供了MR/CA研究的定量概述.
- 确定了关键的出版物,机构和作者,概述了当前的状态和不断变化的趋势.
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