Tyrosine Kinase Inhibitors for Renal Cell Carcinoma : A Bibliometric Analysis via CiteSpace from 2000 to 2022
© 2023 S. Karger AG, Basel..
BACKGROUND: The aim of the study was to identify the cooperation of authors, countries, institutions and explore the hot spots regarding research of tyrosine kinase inhibitors (TKIs) for renal cell carcinoma (RCC) treatment in the past 22 years.
SUMMARY: Relevant original and review articles were obtained from the Web of Science Core Collection from 2000 to 2022. CiteSpace software was used to perform the visualization of scientific productivity and emerging trends. Network maps were generated to evaluate the collaborations between different authors, countries, institutions, and keywords.
KEY MESSAGES: A total of 4,951 articles related to TKI for RCC treatment were identified. We observed a gradual increase in the number of publications from 2000 to 2022. The USA dominated the field in all countries, and Mem Sloan Kettering Cancer Centre (USA) had more extensive cooperating relationships with other institutions. Motzer RJ and Escudier B were two of the authority scholars in this specific field with the most publications and co-citations. Journal of Clinical Oncology had the most citations of all the journals. A total of 10 major clusters were explored based on the reference co-citation analysis. From 2000 to 2022, the research hot spots have undergone two dramatic shifts during 2006 and 2019, respectively, relevant topics were TKI and TKI combined with immune checkpoint inhibitors (CPIs). At present, the research hot spots focus on CPI and targeted therapies. Bibliometric analysis is allowing researchers to recognize the current research status by providing a comprehensive overview of the development of scientific literature related to TKI for RCC treatment, and information for further research be demonstrated as well.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:107 |
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Enthalten in: |
Urologia internationalis - 107(2023), 8 vom: 31., Seite 755-771 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Xu, Jinbin [VerfasserIn] |
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Links: |
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Themen: |
Bibliometric analysis |
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Anmerkungen: |
Date Completed 12.09.2023 Date Revised 13.12.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1159/000531322 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM359553397 |
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520 | |a © 2023 S. Karger AG, Basel. | ||
520 | |a BACKGROUND: The aim of the study was to identify the cooperation of authors, countries, institutions and explore the hot spots regarding research of tyrosine kinase inhibitors (TKIs) for renal cell carcinoma (RCC) treatment in the past 22 years | ||
520 | |a SUMMARY: Relevant original and review articles were obtained from the Web of Science Core Collection from 2000 to 2022. CiteSpace software was used to perform the visualization of scientific productivity and emerging trends. Network maps were generated to evaluate the collaborations between different authors, countries, institutions, and keywords | ||
520 | |a KEY MESSAGES: A total of 4,951 articles related to TKI for RCC treatment were identified. We observed a gradual increase in the number of publications from 2000 to 2022. The USA dominated the field in all countries, and Mem Sloan Kettering Cancer Centre (USA) had more extensive cooperating relationships with other institutions. Motzer RJ and Escudier B were two of the authority scholars in this specific field with the most publications and co-citations. Journal of Clinical Oncology had the most citations of all the journals. A total of 10 major clusters were explored based on the reference co-citation analysis. From 2000 to 2022, the research hot spots have undergone two dramatic shifts during 2006 and 2019, respectively, relevant topics were TKI and TKI combined with immune checkpoint inhibitors (CPIs). At present, the research hot spots focus on CPI and targeted therapies. Bibliometric analysis is allowing researchers to recognize the current research status by providing a comprehensive overview of the development of scientific literature related to TKI for RCC treatment, and information for further research be demonstrated as well | ||
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