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. 2023 Feb 10;102(6):e32926.
doi: 10.1097/MD.0000000000032926.

Top 100 most-cited articles on renal cell carcinoma: A bibliometric analysis

Huiyu Zhou  1 , Fan Cui  1 , Dingyang Lv  1 , Qian Gong  1 , Jie Wen  1 , Weibing Shuang  2
Affiliations

Top 100 most-cited articles on renal cell carcinoma: A bibliometric analysis

Huiyu Zhou et al. Medicine (Baltimore). .

Abstract

Background: To analyze the top 100 most-cited articles on renal cell carcinoma (RCC) using bibliometric methods based on the Web of Science core collection database and to explore the research status, hotspots, and emerging trends in RCC.

Methods: The literature on RCC was searched in the Web of Science core collection database using a specific search strategy, and the types of literature were limited to articles and reviews, with no restrictions to language and publication date. The top 100 articles with the highest number of citations were extracted after the manual screening. The publication year, the number of citations, authors, country, institution, journal, and keywords of these articles were collected and analyzed. Descriptive statistics and visual analysis were performed using Microsoft Excel, VOSviewer, CiteSpace, R, and SPSS.

Results: The number of citations of the top 100 articles varied from 541 to 4530, with a median citation count of 807.5, and the citation rates ranged from 13.8 to 448.4 citations per year. Motzer RJ (n = 22), Escudier B (n = 13), Rini BI (n = 13), and Hutson TE (n = 11) were major contributors to this research area, with Motzer RJ publishing 16 articles as the first author. The US (n = 73), France (n = 5), Canada (n = 4), and Sweden (n = 4) were the leading countries for RCC studies. MEMORIAL SLOAN KETTERING CANCER CENTER (n = 22) was the institution with the highest number of publications. These 100 articles were derived from 24 journals, and the New England Journal of Medicine had the largest number of articles published (n = 18, impact factor = 91.245). The keyword co-occurrence network analysis showed that research hotspots in this field included molecular mechanisms of RCC development and progression, surgical treatment, targeted drug-related clinical trials, and immunotherapy.

Conclusion: We analyzed the top 100 articles with the highest number of citations in the field of RCC and identified the influential authors, countries, institutions, and journals in this field. This study also presented the current research status, hotspots, and future trends in RCC.

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Conflict of interest statement

The authors have no funding and conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
The number of the top 100 most-cited articles on renal cell carcinoma from 1969 to 2017.
Figure 2.
Figure 2.
Top 10 authors contributed to the top 100 most-cited articles.
Figure 3.
Figure 3.
Visualization of author collaboration network. The size of nodes indicates the number of authors who published the top 100 most-cited articles. The connection between nodes indicates the collaborative relationship between authors. Different colors of nodes and connection represent the collaboration between different authors.
Figure 4.
Figure 4.
Countries of origin publishing the top 100 most-cited articles.
Figure 5.
Figure 5.
The international collaboration network among countries. The size of nodes indicates the number of the top100 most-cited articles published by different countries. The connection between nodes indicates the collaborative relationship between countries. Different colors of nodes and connection represent the collaboration between different countries.
Figure 6.
Figure 6.
Visualization of the collaboration network of countries around the world. The depth of color indicates the number of the top100 most-cited articles. The connection represents the collaboration between countries. The width of lines represents the number of coauthored articles.
Figure 7.
Figure 7.
The collaboration network among different institutions. The size of nodes indicates the number of articles published by institutions. The connection between nodes indicates the collaborative relationship between institutions. Different colors of nodes and connection represent the collaboration between different institutions.
Figure 8.
Figure 8.
Core journals in which the top100 most-cited articles were published.
Figure 9.
Figure 9.
Clustering analysis of keyword co-occurrences. The size of nodes indicates the number of keyword co-occurrences. The line between 2 nodes indicates the co-occurrences of keywords. Each color represents one cluster of keywords.
Figure 10.
Figure 10.
Top 20 keywords with strongest citation bursts in the top 100 most-cited articles. Blue lines indicate the timeline during which they are rarely cited, and red lines indicate the timeline during which citation bursts occur. The strength value represents the frequency of citation.
See this image and copyright information in PMC

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