A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022
Over the past decade, thousands of articles have been published on the mechanistic target of rapamycin (mTOR) and its role in breast cancer. However, the variability and heterogeneity of academic data may impact the acquisition of published research information. Due to the large number, heterogeneit...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1167154/full |
| _version_ | 1797745681918590976 |
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| author | Xizhou Zhang Jinyao Wu Qiuping Yang Huiting Tian Lingzhi Chen Daitian Zheng Zeqi Ji Jiehui Cai Yexi Chen Zhiyang Li |
| author_facet | Xizhou Zhang Jinyao Wu Qiuping Yang Huiting Tian Lingzhi Chen Daitian Zheng Zeqi Ji Jiehui Cai Yexi Chen Zhiyang Li |
| author_sort | Xizhou Zhang |
| collection | DOAJ |
| description | Over the past decade, thousands of articles have been published on the mechanistic target of rapamycin (mTOR) and its role in breast cancer. However, the variability and heterogeneity of academic data may impact the acquisition of published research information. Due to the large number, heterogeneity, and varying quality of publications related to mTOR and breast cancer, sorting out the present state of the research in this area is critical for both researchers and clinicians. Therefore, scientometric techniques and visualization tools were employed to analyze the large number of bibliographic metadata related to the research area of mTOR and breast cancer. The features of relevant publications were searched from 2012 to 2022 to evaluate the present status of research and the evolution of research hotspots in this particular field. Web of Science was utilized to extract all relevant publications from 2012 to 2022. Subsequently, Biblioshiny and VOSviewer were utilized to obtain data on the most productive countries, authors, and institutions, annual publications and citations, the most influential journals and articles, and the most frequently occurring keywords. In total, 1,471 publications were retrieved, comprising 1,167 original articles and 304 reviews. There was a significant rise in publications between 2015 and 2018, followed by a sharp decline in 2019 and a rebound since then. The publication with the highest number of citations was a 2012 review authored by Baselga et al. The United States had the highest number of publications, citations and connections among all countries. Oncotarget had the highest number of published articles among all the journals, and José Baselga had the strongest links with other authors. Excluding the search topics, the most frequently used words were “expression” (n = 297), “growth” (n = 228), “activation” (n = 223), “pathway” (n = 205), and “apoptosis” (n = 195). mTOR is crucially involved in breast cancer pathogenesis, but its exact mechanism of action remains controversial and warrants further investigation. The scientometric analysis provides a distinct overview of the existing state of research and highlights the topical issues that deserve further exploration. |
| first_indexed | 2024-03-12T15:26:43Z |
| format | Article |
| id | doaj.art-78a65d2c87eb4c2fb6e9f8ac812dd0d7 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-03-12T15:26:43Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-78a65d2c87eb4c2fb6e9f8ac812dd0d72023-08-10T13:15:52ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-08-011310.3389/fonc.2023.11671541167154A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022Xizhou ZhangJinyao WuQiuping YangHuiting TianLingzhi ChenDaitian ZhengZeqi JiJiehui CaiYexi ChenZhiyang LiOver the past decade, thousands of articles have been published on the mechanistic target of rapamycin (mTOR) and its role in breast cancer. However, the variability and heterogeneity of academic data may impact the acquisition of published research information. Due to the large number, heterogeneity, and varying quality of publications related to mTOR and breast cancer, sorting out the present state of the research in this area is critical for both researchers and clinicians. Therefore, scientometric techniques and visualization tools were employed to analyze the large number of bibliographic metadata related to the research area of mTOR and breast cancer. The features of relevant publications were searched from 2012 to 2022 to evaluate the present status of research and the evolution of research hotspots in this particular field. Web of Science was utilized to extract all relevant publications from 2012 to 2022. Subsequently, Biblioshiny and VOSviewer were utilized to obtain data on the most productive countries, authors, and institutions, annual publications and citations, the most influential journals and articles, and the most frequently occurring keywords. In total, 1,471 publications were retrieved, comprising 1,167 original articles and 304 reviews. There was a significant rise in publications between 2015 and 2018, followed by a sharp decline in 2019 and a rebound since then. The publication with the highest number of citations was a 2012 review authored by Baselga et al. The United States had the highest number of publications, citations and connections among all countries. Oncotarget had the highest number of published articles among all the journals, and José Baselga had the strongest links with other authors. Excluding the search topics, the most frequently used words were “expression” (n = 297), “growth” (n = 228), “activation” (n = 223), “pathway” (n = 205), and “apoptosis” (n = 195). mTOR is crucially involved in breast cancer pathogenesis, but its exact mechanism of action remains controversial and warrants further investigation. The scientometric analysis provides a distinct overview of the existing state of research and highlights the topical issues that deserve further exploration.https://www.frontiersin.org/articles/10.3389/fonc.2023.1167154/fullbreast cancermTORscientometricsWoSbibliometrixVOSviewer |
| spellingShingle | Xizhou Zhang Jinyao Wu Qiuping Yang Huiting Tian Lingzhi Chen Daitian Zheng Zeqi Ji Jiehui Cai Yexi Chen Zhiyang Li A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022 Frontiers in Oncology breast cancer mTOR scientometrics WoS bibliometrix VOSviewer |
| title | A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022 |
| title_full | A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022 |
| title_fullStr | A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022 |
| title_full_unstemmed | A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022 |
| title_short | A scientometric analysis of research trends on targeting mTOR in breast cancer from 2012 to 2022 |
| title_sort | scientometric analysis of research trends on targeting mtor in breast cancer from 2012 to 2022 |
| topic | breast cancer mTOR scientometrics WoS bibliometrix VOSviewer |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1167154/full |
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