Analyzing research trends in glioblastoma metabolism: a bibliometric review.

IF 5.9 2区 医学 Q1 IMMUNOLOGY Frontiers in Immunology Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.3389/fimmu.2024.1444305
Jiaxin Dai, Siyun Song, Pengyu Chen, Qixuan Huang, Hubin Duan
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Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

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胶质母细胞瘤代谢研究趋势分析:文献计量学综述。
背景:我们对有关胶质母细胞瘤代谢的文章进行了文献计量学和可视化分析,以揭示科学发展的动态,并帮助研究人员在探索热点和趋势时获得全球视角:采用科学网核心数据库(WoSCC)搜索、筛选并下载了2014年至2024年期间发表的有关胶质母细胞瘤代谢的文章。使用 CiteSpace、VOSviewer 和 Microsoft Excel 对相关文献进行了分析:2014年至2024年间共有729篇文章被纳入文献计量分析,除2018年发表的文章数量较2017年有所减少外,每年发表的文章数量总体呈上升趋势。合作网络分析显示,美国、德国和中国是该领域有影响力的国家,发表文章数量、被引用次数以及与其他国家的合作都较多。发表文章数量最多的期刊是《国际分子科学杂志》。Mischel PS是发表文章最多的作者,共发表了14篇文章;Guo DL是被引用次数最多的作者,共被引用了104次。文献关键词分析表明,"沃伯格效应 "获得了最高的爆发强度,"中枢神经系统"、"分类 "和 "脂肪酸 "在2024年出现了较强的引文爆发,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焦点,为了解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为该疾病的诊断和治疗提供新的启示。
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来源期刊
CiteScore
9.80
自引率
11.00%
发文量
7153
审稿时长
14 weeks
期刊介绍: Frontiers in Immunology is a leading journal in its field, publishing rigorously peer-reviewed research across basic, translational and clinical immunology. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Immunology is the official Journal of the International Union of Immunological Societies (IUIS). Encompassing the entire field of Immunology, this journal welcomes papers that investigate basic mechanisms of immune system development and function, with a particular emphasis given to the description of the clinical and immunological phenotype of human immune disorders, and on the definition of their molecular basis.
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