A Bibliometric Analysis of the Spatial Transcriptomics Literature from 2006 to 2023.

IF 3.6 4区 医学 Q3 CELL BIOLOGY
Shu-Han Zhao, Xin-Yu Ji, Guo-Zhen Yuan, Tao Cheng, Hai-Yi Liang, Si-Qi Liu, Fu-Yi Yang, Yang Tang, Shuai Shi
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引用次数: 0

Abstract

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.

Abstract Image

2006 年至 2023 年空间转录组学文献的文献计量分析。
近年来,空间转录组学(ST)研究已成为一个热门研究领域,并在医学领域显示出巨大潜力。然而,该领域的文献计量分析却很少。因此,在本研究中,我们的目的是根据现有文献,发现并分析这一医学研究领域的前沿和趋势。我们在 WoSCC(Web of Science Core Collection)数据库中对 2006 年至 2023 年发表的文献进行了计算机检索。提取并筛选了所有文献和引用参考文献的完整记录。文献计量分析和可视化使用 CiteSpace、VOSviewer、Bibliometrix R 软件包和 Scimago Graphica 进行。共收录了 1467 篇论文和综述。分析表明,在过去三年中,科技论文的发表和引用结果呈快速上升趋势。自然-通讯》和《自然》分别是高产期刊和被联合引用最多的期刊。在全面的全球合作网络中,美国是组织和出版物最多的国家,中国和英国紧随其后。作者约阿基姆-伦德贝格(Joakim Lundeberg)发表的论文被引用次数最多,而帕特里克-L-施塔尔(Patrik L. Ståhl)在共同引用作者中排名第一。ST领域的热门话题包括组织识别、癌症、异质性、免疫疗法、分化和模型。ST 技术极大地促进了肿瘤学和神经科学等医学领域的深入研究,为疾病的诊断和治疗开辟了新的可能性。此外,人工智能和大数据也推动了 ST 领域的进一步发展。
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来源期刊
CiteScore
7.70
自引率
0.00%
发文量
137
审稿时长
4-8 weeks
期刊介绍: Cellular and Molecular Neurobiology publishes original research concerned with the analysis of neuronal and brain function at the cellular and subcellular levels. The journal offers timely, peer-reviewed articles that describe anatomic, genetic, physiologic, pharmacologic, and biochemical approaches to the study of neuronal function and the analysis of elementary mechanisms. Studies are presented on isolated mammalian tissues and intact animals, with investigations aimed at the molecular mechanisms or neuronal responses at the level of single cells. Cellular and Molecular Neurobiology also presents studies of the effects of neurons on other organ systems, such as analysis of the electrical or biochemical response to neurotransmitters or neurohormones on smooth muscle or gland cells.
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