First Clinical Medical College, Shanxi Medical University, Taiyuan, China.
Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Front Immunol. 2024 Oct 18;15:1444305. doi: 10.3389/fimmu.2024.1444305. eCollection 2024.
A bibliometric and visual analysis of articles related to glioblastoma metabolism was conducted to reveal the dynamics of scientific development and to assist researchers in gaining a global perspective when exploring hotspots and trends.
The Web of Science Core Collection (WoSCC) was employed to search, screen, and download articles about glioblastoma metabolism published between 2014 and 2024. The relevant literature was analyzed using CiteSpace, VOSviewer and Microsoft Excel.
A total of 729 articles were included for bibliometric analysis between 2014 and 2024, and the number of articles published each year showed an overall increasing trend, except for a decrease in the number of articles published in 2018 compared to 2017. Collaboration network analysis showed that the United States, Germany and China are influential countries in this field, with a high number of articles published, citations and collaborations with other countries. The journal with the largest number of published articles is the International Journal of Molecular Sciences. Mischel PS is the most prolific author with 14 articles, and Guo DL received the most citations with 104 citations. Keyword analysis of the literature showed that the "Warburg effect" achieved the highest burst intensity, and "central nervous system", "classification" and "fatty acids" showed stronger citation bursts in 2024, indicating that they are still popular topics so far.
This article elucidates the research trends and focal points in the field of glioblastoma metabolism, furnishes invaluable insights into the historical and contemporary status of this field, and offers guidance for future research. Further research into glioblastoma metabolism will undoubtedly yield new insights that will inform the diagnosis and treatment of this disease.
对胶质母细胞瘤代谢相关文章进行了文献计量和可视化分析，以揭示科学发展的动态，帮助研究人员在探索热点和趋势时获得全球视角。
使用 Web of Science 核心合集（WoSCC）搜索、筛选和下载 2014 年至 2024 年发表的关于胶质母细胞瘤代谢的文章。使用 CiteSpace、VOSviewer 和 Microsoft Excel 对相关文献进行分析。
共纳入 729 篇文献进行 2014 年至 2024 年的文献计量学分析，除 2018 年发表的文章数量与 2017 年相比有所下降外，每年发表的文章数量呈总体上升趋势。合作网络分析表明，美国、德国和中国是该领域有影响力的国家，发表的文章、与其他国家的引文和合作数量较多。发表文章数量最多的期刊是《国际分子科学杂志》。Mischel PS 是最具影响力的作者，有 14 篇文章，Guo DL 获得的引用次数最多，有 104 次引用。文献关键词分析表明，“沃伯格效应”达到了最高的爆发强度，“中枢神经系统”、“分类”和“脂肪酸”在 2024 年的引文爆发强度更强，表明它们至今仍是热门话题。
本文阐明了胶质母细胞瘤代谢领域的研究趋势和重点，为该领域的历史和现状提供了宝贵的见解，并为未来的研究提供了指导。对胶质母细胞瘤代谢的进一步研究无疑将产生新的见解，为该疾病的诊断和治疗提供信息。
