在肺癌中绘制代谢重编程研究的地图:一个参考资料和可视化分析
Song Han1,2, Jialu Li3, Feng Jiang4
1Department of Thoracic Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, 225001, China.
Discover oncology
|April 21, 2025
概括
这项研究分析了肺癌代谢重编程的全球研究,揭示了不断增加的输出和癌症干细胞和向治疗等关键主题,以改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 代谢研究研究 代谢研究
- 图书统计学 图书统计学
背景情况:
- 肺癌仍然是全球癌症死亡的主要原因.
- 代谢重编程是使癌细胞存活和生长成为可能的关键标志.
- 了解代谢变化对于开发有效的肺癌治疗方法至关重要.
研究的目的:
- 对代谢重编程和肺癌的全球研究趋势进行全面的文献计量分析.
- 确定有影响力的研究,关键的研究合作,以及该领域的新兴主题.
- 绘制研究格局的地图,并强调未来的研究方向.
主要方法:
- 从科学网络核心集合 (2004-2024) 中对1078篇出版物的图书统计分析.
- 使用VOSviewer和CiteSpace来分析出版趋势,合作,关键词和引用网络.
- 检查了研究成果,主要贡献者和新兴研究主题.
主要成果:
- 2015年以后,肺癌中的代谢重编程研究成果显著增加.
- 中国和美国是有着广泛国际合作的领先贡献者.
- 新兴主题包括癌症干细胞,瘤代谢转变和向代谢疗法,将实验室研究与免疫治疗等临床应用相结合.
结论:
- 图书计量分析为肺癌的代谢重编程研究提供了一个景观.
- 确定了关键贡献者和新兴研究主题,包括癌症干细胞和向疗法.
- 未来的研究应该专注于先进的技术,如单细胞分析和分子调节新型治疗的代谢变化.
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