2006 年至 2023 年空间转录组学文献的计量学分析。
A Bibliometric Analysis of the Spatial Transcriptomics Literature from 2006 to 2023.
机构信息
Guang'an Men Hospital, China Academy of Chinese Medical Sciences, No. 5 Beixiange Street, Xicheng District, Beijing, 100053, People's Republic of China.
Beijing University of Chinese Medicine, No. 11, Beisanhuan East Road, Chaoyang District, Beijing, 100029, People's Republic of China.
出版信息
Cell Mol Neurobiol. 2024 Jun 10;44(1):50. doi: 10.1007/s10571-024-01484-3.
In recent years, spatial transcriptomics (ST) research has become a popular field of study and has shown great potential in medicine. However, there are few bibliometric analyses in this field. Thus, in this study, we aimed to find and analyze the frontiers and trends of this medical research field based on the available literature. A computerized search was applied to the WoSCC (Web of Science Core Collection) Database for literature published from 2006 to 2023. Complete records of all literature and cited references were extracted and screened. The bibliometric analysis and visualization were performed using CiteSpace, VOSviewer, Bibliometrix R Package software, and Scimago Graphica. A total of 1467 papers and reviews were included. The analysis revealed that the ST publication and citation results have shown a rapid upward trend over the last 3 years. Nature Communications and Nature were the most productive and most co-cited journals, respectively. In the comprehensive global collaborative network, the United States is the country with the most organizations and publications, followed closely by China and the United Kingdom. The author Joakim Lundeberg published the most cited paper, while Patrik L. Ståhl ranked first among co-cited authors. The hot topics in ST are tissue recognition, cancer, heterogeneity, immunotherapy, differentiation, and models. ST technologies have greatly contributed to in-depth research in medical fields such as oncology and neuroscience, opening up new possibilities for the diagnosis and treatment of diseases. Moreover, artificial intelligence and big data drive additional development in ST fields.
近年来,空间转录组学(ST)研究已成为一个热门的研究领域,并在医学领域显示出巨大的潜力。然而,该领域的文献计量分析较少。因此,本研究旨在基于现有文献,发现和分析该医学研究领域的前沿和趋势。我们采用计算机检索方法,对 2006 年至 2023 年发表的文献进行了 WoSCC(Web of Science Core Collection)数据库检索。提取并筛选了所有文献的完整记录和被引参考文献。使用 CiteSpace、VOSviewer、Bibliometrix R 包软件和 Scimago Graphica 进行了文献计量分析和可视化。共纳入 1467 篇论文和综述。分析表明,ST 的出版和引用结果在过去 3 年中呈快速上升趋势。《自然通讯》和《自然》分别是最具生产力和最具被引频次的期刊。在综合全球合作网络中,美国是拥有最多机构和出版物的国家,其次是中国和英国。发文量最多的论文作者是 Joakim Lundeberg,被引频次最高的作者是 Patrik L. Ståhl。ST 的热点研究领域包括组织识别、癌症、异质性、免疫疗法、分化和模型。ST 技术为肿瘤学和神经科学等医学领域的深入研究做出了巨大贡献,为疾病的诊断和治疗开辟了新的可能。此外,人工智能和大数据推动了 ST 领域的进一步发展。
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