Qiu Guanghao, Wang Fuqiang, Zhang Hanlu, Zheng Yu, Wang Zihao, Wang Yun
Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
J Thorac Dis. 2020 Dec;12(12):7402-7415. doi: 10.21037/jtd-20-2706.
Bibliometric analysis can help us analyse the most influential papers, authors, research institutions in a discipline or topic and analyse the impact of these papers on a specific field. Our purpose is to identify the 100 most cited papers about thymic epithelial tumours (TETs) and analyse their key characteristics. We use certain search terms in the Web of Science database to identify the 100 most cited papers, and analysed the first author, country of the first author, institution, journal, type of paper, number of citations, and citation rate. The search returned 26,497 results. The top 100 papers received 17,674 citations. The most cited paper was by Masaoka . (n=1,190 citations), in which, clinical staging criteria are proposed for thymoma with special emphasis on the therapy and prognosis. The paper with the highest citation rate was also by Masaoka . (citations rate =30.51). Osaka University published the most papers (n=6) and accrued the highest number of citations (n=2,122 citations). The United States was the country with the most published papers (n=45) and the highest number of citations (n=7,991 citations). is the journal with the most published papers (n=19) and the highest number of citations (n=5,017 citations). Through the analysis of the most influential papers, this study provides a reference for researchers trying to understand TETs, thus providing guidance for future research.
文献计量分析可以帮助我们分析某一学科或主题中最具影响力的论文、作者、研究机构,并分析这些论文对特定领域的影响。我们的目的是识别关于胸腺上皮肿瘤(TETs)被引用次数最多的100篇论文,并分析它们的关键特征。我们在科学网数据库中使用特定的检索词来识别被引用次数最多的100篇论文,并分析了第一作者、第一作者所在国家、机构、期刊、论文类型、被引用次数和引用率。检索结果有26497条。排名前100的论文共获得17674次引用。被引用次数最多的论文是Masaoka撰写的(n = 1190次引用),其中提出了胸腺瘤的临床分期标准,并特别强调了治疗和预后。引用率最高的论文也是Masaoka撰写的(引用率 = 30.51)。大阪大学发表的论文最多(n = 6),获得的引用次数也最多(n = 2122次引用)。美国发表的论文数量最多(n = 45),获得的引用次数也最多(n = 7991次引用)。 是发表论文数量最多(n = 19)且引用次数最多(n = 5017次引用)的期刊。通过对最具影响力论文的分析,本研究为试图了解胸腺上皮肿瘤的研究人员提供了参考,从而为未来的研究提供指导。