门德尔随机化研究方法在瘤学研究中的应用:参考文献分析
Jiahao Chen1, Yunli Wang1, Rongsheng Jiang2
1College of Medical Information, Changchun University of Chinese Medicine, Changchun, China.
Frontiers in oncology
|January 1, 2025
概括
这项研究可视化了针对癌症的门德尔随机化研究,揭示了关键趋势和边界. 它强调了中国的中国.
科学领域:
- 遗传学和流行病学
- 瘤学研究研究
- 生物统计学 生物统计学
背景情况:
- 癌症的发病因子仍然是一个重大挑战.
- 全基因组关联研究 (GWAS) 取得了先进的理解.
- 门德尔随机化 (MR) 越来越多地应用于癌症研究.
研究的目的:
- 进行癌症MR研究的文献分析.
- 为了总结当前的研究格局.
- 识别该领域的新兴趋势和前沿.
主要方法:
- 对"孟德尔随机化 - 癌症"出版物的图书统计分析.
- 数据来源于网络科学核心集合.
- 使用CiteSpace,VOSviewer,Scimago Graphica和R包Bibliometrix进行分析和可视化.
主要成果:
- 分析了836篇文章,来自72个国家的贡献.
- 中国在出版物方面领先;哈佛大学在机构方面领先.
- 乳腺癌,结肠直肠癌和肝癌是最受研究的.
- 著名的研究人员包括马丁,理查德M和史密斯,乔治·戴维.
结论:
- 这是MRI在癌症研究中的第一个图书统计可视化.
- 该研究揭示了关键的研究趋势和前沿.
- 为癌症和流行病学研究人员提供了宝贵的见解.
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