Mapping the giants: a bibliometric analysis of the top 100 most-cited thyroid nodules studies.

IF 3.1 3区医学 Q1 MEDICINE, GENERAL & INTERNAL

Frontiers in Medicine Pub Date : 2025-03-25 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1555676

Xinfeng Zhou, Mingjun Liu, Tianjiao Gao, Yi Tan, Xiao Wang, Long Yang, Shengxian Xu, Rui Wang, Haoyang Gao, Shaotao Chen

{"title":"Mapping the giants: a bibliometric analysis of the top 100 most-cited thyroid nodules studies.","authors":"Xinfeng Zhou, Mingjun Liu, Tianjiao Gao, Yi Tan, Xiao Wang, Long Yang, Shengxian Xu, Rui Wang, Haoyang Gao, Shaotao Chen","doi":"10.3389/fmed.2025.1555676","DOIUrl":null,"url":null,"abstract":"Background: Thyroid disease continues to be one of the most prevalent disease groups worldwide, with its frequency and distribution being impacted by numerous factors. Significant progress has been achieved in recent years in thyroid nodules, largely due to the advent of novel detection and diagnostic techniques. This study aims to scrutinize the top 100 most frequently cited articles in thyroid nodule research, utilizing bibliometric analysis to identify trends, highlight critical focal points, and lay a groundwork for forthcoming investigations.Methods: A comprehensive literature search was carried out using the SCI-E database, and all the recorded results were downloaded in plain text format for detailed analysis. The key terms analyzed with VOSviewer 1.6.18, CiteSpace 6.3r1, bibliometrix in R Studio (v.4.4.1), and Microsoft Excel 2021 software include country, institution, author, journal, and keywords.Results: The publication timeframe extends from 1 January 2003 to 31 December 2021, reaching a peak citation count of 9,100. Notably, the United States leads in the number of published articles, with Harvard University standing out as a prestigious institution. These articles were featured in 45 diverse journals, with THYROID leading in publication volume. Nikiforov Yuri E. was the most prolific first author, appearing 10 times. Keyword analysis highlighted traditional research themes such as \"fine needle aspiration,\" \"carcinogens,\" and \"management.\" However, \"deep learning\" has surfaced as a significant area of focus in recent studies.Conclusion: This study has extracted the bibliometric characteristics of the top 100 most-cited articles pertaining to TNs, providing an invaluable reference for upcoming studies. Through meticulous analysis, it has been determined that the primary research concentrations encompass the diagnosis of benign or malignant TNs, the management of TNs, and the subsequent monitoring of TNs, with deep learning emerging as a pivotal area of exploration.","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"12 ","pages":"1555676"},"PeriodicalIF":3.1000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11975563/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2025.1555676","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Thyroid disease continues to be one of the most prevalent disease groups worldwide, with its frequency and distribution being impacted by numerous factors. Significant progress has been achieved in recent years in thyroid nodules, largely due to the advent of novel detection and diagnostic techniques. This study aims to scrutinize the top 100 most frequently cited articles in thyroid nodule research, utilizing bibliometric analysis to identify trends, highlight critical focal points, and lay a groundwork for forthcoming investigations.

Methods: A comprehensive literature search was carried out using the SCI-E database, and all the recorded results were downloaded in plain text format for detailed analysis. The key terms analyzed with VOSviewer 1.6.18, CiteSpace 6.3r1, bibliometrix in R Studio (v.4.4.1), and Microsoft Excel 2021 software include country, institution, author, journal, and keywords.

Results: The publication timeframe extends from 1 January 2003 to 31 December 2021, reaching a peak citation count of 9,100. Notably, the United States leads in the number of published articles, with Harvard University standing out as a prestigious institution. These articles were featured in 45 diverse journals, with THYROID leading in publication volume. Nikiforov Yuri E. was the most prolific first author, appearing 10 times. Keyword analysis highlighted traditional research themes such as "fine needle aspiration," "carcinogens," and "management." However, "deep learning" has surfaced as a significant area of focus in recent studies.

Conclusion: This study has extracted the bibliometric characteristics of the top 100 most-cited articles pertaining to TNs, providing an invaluable reference for upcoming studies. Through meticulous analysis, it has been determined that the primary research concentrations encompass the diagnosis of benign or malignant TNs, the management of TNs, and the subsequent monitoring of TNs, with deep learning emerging as a pivotal area of exploration.

查看原文本刊更多论文

绘制巨人：对100个最常被引用的甲状腺结节研究的文献计量学分析。

背景：甲状腺疾病仍然是世界上最流行的疾病之一，其频率和分布受到许多因素的影响。近年来，由于新的检测和诊断技术的出现，甲状腺结节取得了重大进展。本研究旨在仔细研究甲状腺结节研究中最常被引用的前100篇文章，利用文献计量学分析来确定趋势，突出关键焦点，并为即将进行的调查奠定基础。方法：利用SCI-E数据库进行全面的文献检索，将所有记录的结果以明文格式下载，进行详细分析。使用VOSviewer 1.6.18、CiteSpace 6.31 r1、R Studio （v.4.4.1）中的bibliometrix和Microsoft Excel 2021软件分析的关键字包括国家、机构、作者、期刊和关键字。结果：论文发表时间从2003年1月1日延长至2021年12月31日，最高引用数为9100次。值得注意的是，美国在发表论文数量上处于领先地位，哈佛大学作为一所著名学府脱颖而出。这些文章被刊登在45种不同的期刊上，其中《甲状腺》杂志的出版物数量最多。Nikiforov Yuri e是最多产的第一作者，出现了10次。关键词分析突出了传统的研究主题，如“细针穿刺”、“致癌物”和“管理”。然而，“深度学习”在最近的研究中已经成为一个重要的关注领域。结论：本研究提取了被引频次前100位的TNs相关文献计量学特征，为后续研究提供了宝贵的参考。通过细致的分析，已经确定主要的研究重点包括良性或恶性TNs的诊断，TNs的管理以及随后的TNs监测，深度学习正在成为一个关键的探索领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Frontiers in Medicine Medicine-General Medicine

CiteScore

5.10

自引率

5.10%

发文量

3710

审稿时长

12 weeks

期刊介绍： Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world