Bibliometric analysis of hot literature on neural circuit research

Ibrain Pub Date : 2023-12-21 DOI:10.1002/ibra.12144
Ruo-Lan Du, David H. Mauki, Zong-Fu Zuo
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Abstract

Numerous brain diseases have been attributed to abnormalities in the connections of neural circuits. Exploration of neural circuits may give enlightenment in treating some intractable brain diseases. Here, we screened all publications on neural circuits in the Web of Science database from 2007 to 2022 and analyzed the research trends through VOSviewer, CiteSpace, Microsoft Excel 2019, and Origin. The findings revealed a consistent upward trend in research on neural circuits during this period. The United States emerged as the leading contributor, followed by China and Japan. Among the top 10 institutions with the largest number of publications, both the United States and China have a strong presence. Notably, the Chinese Academy of Sciences demonstrated the highest publication output, closely followed by Stanford University. In terms of influential authors, Karl Deisseroth stood out as one of the most prominent investigators. During this period, the majority of publications and citations on neural circuit research were found in highly influential journals including NEURON, NATURE JOURNAL OF NEUROSCIENCE, and so forth. Keyword clustering analysis highlighted the increasing focus on neural circuits and photogenetics in neuroscience research, and the reconstruction of neural circuits has emerged as a crucial research direction in brain science. In conclusion, over the past 15 years, the increasing high-quality publications have facilitated research development of neural circuits, indicating a promising prospect for investigations on neurological and psychiatric diseases.

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神经回路研究热点文献的文献计量分析
许多脑部疾病都归因于神经回路连接的异常。对神经回路的探索可能会为治疗某些难治性脑部疾病带来启示。在此,我们筛选了2007年至2022年科学网数据库中所有关于神经回路的论文,并通过VOSviewer、CiteSpace、Microsoft Excel 2019和Origin分析了研究趋势。研究结果表明,在此期间有关神经回路的研究呈持续上升趋势。美国成为主要贡献国,中国和日本紧随其后。在发表论文数量最多的前 10 个机构中,美国和中国都占有很大比重。值得注意的是,中国科学院的出版物数量最多,紧随其后的是斯坦福大学。在有影响力的作者方面,卡尔-戴瑟罗特(Karl Deisseroth)是最杰出的研究者之一。在此期间,有关神经回路研究的大部分论文和引文都发表在极具影响力的期刊上,包括《神经元》(NEURON)、《自然神经科学杂志》(NATURE JOURNAL OF NEUROSCIENCE)等。关键词聚类分析凸显了神经科学研究对神经回路和光遗传学的日益关注,神经回路的重建已成为脑科学的一个重要研究方向。总之,在过去的 15 年中,越来越多的高质量论文促进了神经回路研究的发展,预示着神经和精神疾病研究的美好前景。
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