Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)

Osteosarcoma is the most common primary bone tumor in children and adolescents. Its pathogenesis is complex and poses difficulties in treatment. Autophagy is a cell biological process that plays a crucial role in the mechanistic study and treatment of osteosarcoma. The objective of this study is to...

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Main Authors: Min Zhu, Wei Xiang, Zhoujun Zhu, Bingjie Nie, Xinyue Zhen, Chen Chen, Tianhai Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cancer Biology & Therapy
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Online Access:https://www.tandfonline.com/doi/10.1080/15384047.2025.2484825
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author Min Zhu
Wei Xiang
Zhoujun Zhu
Bingjie Nie
Xinyue Zhen
Chen Chen
Tianhai Wang
author_facet Min Zhu
Wei Xiang
Zhoujun Zhu
Bingjie Nie
Xinyue Zhen
Chen Chen
Tianhai Wang
author_sort Min Zhu
collection DOAJ
description Osteosarcoma is the most common primary bone tumor in children and adolescents. Its pathogenesis is complex and poses difficulties in treatment. Autophagy is a cell biological process that plays a crucial role in the mechanistic study and treatment of osteosarcoma. The objective of this study is to evaluate the past research progress from 2007 to 2023 and visualize the key research directions through bibliometric methods. Relevant publications published from the start of 2007 to the end of 2023 were searched and screened in the Web of Science Core Collection. They were analyzed and visualized using CiteSpace and the Bibliometric online analysis platform in terms of country, institution, author, journal, cited references, and keywords. In total, 619 publications from 522 journals with 682 authors from 42 countries were screened. The country with the highest number of publications is China (n = 445, 71.890%), followed by the United States (n = 60, 9.693%). The research institution with the highest number of publications is Shanghai Jiao Tong University (n = 42, 6.785%). The author with the highest number of publications is Cai, Zhengdong (n = 7), while the most cited author is Mizushimma N (n = 93). Among many journals, AUTOPHAGY has the most citations (n = 342), while CANCER LETT shows the greatest centrality (Centrality = 0.05). “Autophagy” is the most cited keyword (n = 177), and the keyword with the largest burst intensity is “cancer cells” (Strength = 6.27), which lasted from 2011 to 2014. China is a major contributor to autophagy research in the field of osteosarcoma, followed by the United States. All publications are in high-quality journals. “Autophagy” is a hot research topic in this field.
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spelling doaj-art-1abf7dd0e7df4e3094e4fa13763121bc2025-08-20T02:54:22ZengTaylor & Francis GroupCancer Biology & Therapy1538-40471555-85762025-12-0126110.1080/15384047.2025.2484825Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)Min Zhu0Wei Xiang1Zhoujun Zhu2Bingjie Nie3Xinyue Zhen4Chen Chen5Tianhai Wang6Department of Anesthesiology, The Third Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Spine Surgery, The Sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Joint Surgery, The Sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Anesthesiology, The Third Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Anesthesiology, The Third Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Anesthesiology, The Third Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Anesthesiology, The Third Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaOsteosarcoma is the most common primary bone tumor in children and adolescents. Its pathogenesis is complex and poses difficulties in treatment. Autophagy is a cell biological process that plays a crucial role in the mechanistic study and treatment of osteosarcoma. The objective of this study is to evaluate the past research progress from 2007 to 2023 and visualize the key research directions through bibliometric methods. Relevant publications published from the start of 2007 to the end of 2023 were searched and screened in the Web of Science Core Collection. They were analyzed and visualized using CiteSpace and the Bibliometric online analysis platform in terms of country, institution, author, journal, cited references, and keywords. In total, 619 publications from 522 journals with 682 authors from 42 countries were screened. The country with the highest number of publications is China (n = 445, 71.890%), followed by the United States (n = 60, 9.693%). The research institution with the highest number of publications is Shanghai Jiao Tong University (n = 42, 6.785%). The author with the highest number of publications is Cai, Zhengdong (n = 7), while the most cited author is Mizushimma N (n = 93). Among many journals, AUTOPHAGY has the most citations (n = 342), while CANCER LETT shows the greatest centrality (Centrality = 0.05). “Autophagy” is the most cited keyword (n = 177), and the keyword with the largest burst intensity is “cancer cells” (Strength = 6.27), which lasted from 2011 to 2014. China is a major contributor to autophagy research in the field of osteosarcoma, followed by the United States. All publications are in high-quality journals. “Autophagy” is a hot research topic in this field.https://www.tandfonline.com/doi/10.1080/15384047.2025.2484825AutophagyosteosarcomaciteSpacebibliometricvisualization
spellingShingle Min Zhu
Wei Xiang
Zhoujun Zhu
Bingjie Nie
Xinyue Zhen
Chen Chen
Tianhai Wang
Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)
Cancer Biology & Therapy
Autophagy
osteosarcoma
citeSpace
bibliometric
visualization
title Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)
title_full Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)
title_fullStr Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)
title_full_unstemmed Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)
title_short Bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma: a bibliometric analysis (2007–2023)
title_sort bibliometric analysis of autophagy in the diagnosis and treatment of osteosarcoma a bibliometric analysis 2007 2023
topic Autophagy
osteosarcoma
citeSpace
bibliometric
visualization
url https://www.tandfonline.com/doi/10.1080/15384047.2025.2484825
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AT bingjienie bibliometricanalysisofautophagyinthediagnosisandtreatmentofosteosarcomaabibliometricanalysis20072023
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AT chenchen bibliometricanalysisofautophagyinthediagnosisandtreatmentofosteosarcomaabibliometricanalysis20072023
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