Shanghai Cancer Institute

157.9k citations
4.0k papers ·

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%

Papers in

    • Cancer-related molecular mechanisms research 165
    • Cancer, Hypoxia, and Metabolism 162
    • MicroRNA in disease regulation 152
    • Pancreatic and Hepatic Oncology Research 224
    • Cancer Immunotherapy and Biomarkers 127

Shanghai Cancer Institute

3.3k papers receiving 132.5k citations

Peers

Shanghai Cancer Institute
Comparison fields: 5 of 227
  • Cancer Research 32.7k
  • Oncology 29.8k
  • Molecular Biology 67.1k
  • Hepatology 5.9k
  • Immunology 13.9k
Replace Changhai Hospital with:
Changhai Hospital China
State Key Laboratory of Oncogene and Related Genes China
Sir Run Run Shaw Hospital China
Shanghai First People's Hospital China
XinHua Hospital China
Shanghai Tenth People's Hospital China
Huashan Hospital China
Shanghai University of Traditional Chinese Medicine China
Zhejiang Cancer Hospital China
First Affiliated Hospital of Soochow University China
Shanghai Cancer Institute relative to Changhai Hospital China Changhai Hospital's profile →
Citations per field
00.5×1.5×
Changhai Hospital · 1×
Citations per year

Countries citing scholars working at Shanghai Cancer Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Shanghai Cancer Institute. 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 Shanghai Cancer Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanghai Cancer Institute more than expected).

Fields of papers published by authors at Shanghai Cancer Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Shanghai Cancer Institute 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 Shanghai Cancer Institute at the time of their publication.

About Shanghai Cancer Institute

In recent decades, authors affiliated with Shanghai Cancer Institute have published 4.0k papers, which have received a total of 157.9k indexed citations . Scholars at this organization have produced 673 papers in Cancer Research, 914 papers in Oncology, 159 papers in Hepatology, 1.5k papers in Molecular Biology and 398 papers in Immunology on the topics of RNA modifications and cancer (246 papers), Pancreatic and Hepatic Oncology Research (224 papers), Epigenetics and DNA Methylation (169 papers), Cancer-related molecular mechanisms research (165 papers), Cancer, Hypoxia, and Metabolism (162 papers), MicroRNA in disease regulation (152 papers), Nanoplatforms for cancer theranostics (131 papers) and Cancer Immunotherapy and Biomarkers (127 papers). Their work is cited by papers focused on Cancer Research (32.7k citations), Oncology (29.8k citations), Molecular Biology (67.1k citations), Hepatology (5.9k citations) and Immunology (13.9k citations). Authors at Shanghai Cancer Institute collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including International Journal of Cancer, Cancer Letters, Cancer Epidemiology Biomarkers & Prevention, PLoS ONE and Oncogene. Some of Shanghai Cancer Institute's most productive authors include Yu‐Tang Gao, Wei Zheng, Xiao‐Ou Shu, Hongyang Wang, Xianjun Yu, Gong Yang, Jianren Gu, Xianghuo He, Yong‐Bing Xiang and Honglan Li.

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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