Sun Yat-sen University Cancer Center

504.0k citations
17.3k papers ·

Impact in

Papers in

    • Head and Neck Cancer Studies 1.3k
    • Cancer Immunotherapy and Biomarkers 754
    • Viral-associated cancers and disorders 489

Sun Yat-sen University Cancer Center

13.9k papers receiving 408.6k citations

Peers

Sun Yat-sen University Cancer Center
Comparison fields: 5 of 240
  • Otorhinolaryngology 29.9k
  • Cancer Research 94.2k
  • Oncology 116.4k
  • Hepatology 21.9k
  • Molecular Biology 169.3k
Replace The First Affiliated Hospital, Sun Yat-sen University with:
The First Affiliated Hospital, Sun Yat-sen University China
Southern Medical University China
Guangzhou Medical University China
Union Hospital Hong Kong
State Key Laboratory of Oncology in South China China
Nanfang Hospital China
Xiangya Hospital Central South University China
Tongji Hospital China
Sun Yat-sen Memorial Hospital China
Guangxi Medical University China
Sun Yat-sen University Cancer Center relative to The First Affiliated Hospital, Sun Yat-sen University China The First Affiliated Hospital, Sun Yat-sen University's profile →
Citations per field
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The First Affiliated Hospital, Sun Yat-sen University · 1×
Citations per year

Countries citing scholars working at Sun Yat-sen University Cancer Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Sun Yat-sen University Cancer Center. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Sun Yat-sen University Cancer Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Yat-sen University Cancer Center more than expected).

Fields of papers published by authors at Sun Yat-sen University Cancer Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Sun Yat-sen University Cancer Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Sun Yat-sen University Cancer Center at the time of their publication.

About Sun Yat-sen University Cancer Center

In recent decades, authors affiliated with Sun Yat-sen University Cancer Center have published 17.3k papers, which have received a total of 504.0k indexed citations . Scholars at this organization have produced 1.3k papers in Otorhinolaryngology, 4.2k papers in Oncology, 2.2k papers in Cancer Research, 874 papers in Hepatology and 2.5k papers in Pulmonary and Respiratory Medicine on the topics of Head and Neck Cancer Studies (1.3k papers), RNA modifications and cancer (903 papers), Hepatocellular Carcinoma Treatment and Prognosis (788 papers), Cancer-related molecular mechanisms research (773 papers), Cancer Immunotherapy and Biomarkers (754 papers), Lung Cancer Treatments and Mutations (668 papers), Lymphoma Diagnosis and Treatment (560 papers) and Viral-associated cancers and disorders (489 papers). Their work is cited by papers focused on Otorhinolaryngology (29.9k citations), Cancer Research (94.2k citations), Oncology (116.4k citations), Hepatology (21.9k citations) and Molecular Biology (169.3k citations). Authors at Sun Yat-sen University Cancer Center collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Frontiers in Oncology, Oncotarget, BMC Cancer, 癌症:英文版 and PLoS ONE. Some of Sun Yat-sen University Cancer Center's most productive authors include Rui‐Hua Xu, Liwu Fu, Jun Ma, Ying Hao Sun, Dan Xie, Hailin Tang, Yi-Xin Zeng, Peng Huang, Xin-Yuan Guan and Mu‐Sheng Zeng.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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