Shanghai Institute of Immunology

59.3k citations
1.4k papers ·

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 282
    • T-cell and B-cell Immunology 204
    • Immunotherapy and Immune Responses 157
    • Immune cells in cancer 151
    • Immune Response and Inflammation 67
    • IL-33, ST2, and ILC Pathways 59
    • Cancer Immunotherapy and Biomarkers 81

Shanghai Institute of Immunology

1.2k papers receiving 52.0k citations

Peers

Shanghai Institute of Immunology
Comparison fields: 5 of 191
  • Immunology 21.8k
  • Cancer Research 5.4k
  • Oncology 9.0k
  • Neurology 2.8k
  • Molecular Biology 20.4k
Replace Shanghai Institute of Nutrition and Health with:
Shanghai Institute of Nutrition and Health China
Model Animal Research Center China
Jinshan Hospital of Fudan University China
First Affiliated Hospital of Wannan Medical College China
Yueyang Hospital China
Nanjing Maternity and Child Health Care Hospital China
Taipei Institute of Pathology Taiwan
Northern Jiangsu People's Hospital China
Shaoxing People's Hospital China
Wuxi Fourth People's Hospital China
Shanghai Institute of Immunology relative to Shanghai Institute of Nutrition and Health China Shanghai Institute of Nutrition and Health's profile →
Citations per field
00.5×2×2.6×
Shanghai Institute of Nutrition and Health · 1×
Citations per year

Countries citing scholars working at Shanghai Institute of Immunology

Since Specialization
Citations

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

Fields of papers published by authors at Shanghai Institute of Immunology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Shanghai Institute of Immunology

In recent decades, authors affiliated with Shanghai Institute of Immunology have published 1.4k papers, which have received a total of 59.3k indexed citations . Scholars at this organization have produced 698 papers in Immunology, 246 papers in Oncology, 116 papers in Cancer Research, 59 papers in Neurology and 467 papers in Molecular Biology on the topics of Immune Cell Function and Interaction (282 papers), T-cell and B-cell Immunology (204 papers), Immunotherapy and Immune Responses (157 papers), Immune cells in cancer (151 papers), Cancer Immunotherapy and Biomarkers (81 papers), Immune Response and Inflammation (67 papers), IL-33, ST2, and ILC Pathways (59 papers) and Neuroinflammation and Neurodegeneration Mechanisms (57 papers). Their work is cited by papers focused on Immunology (21.8k citations), Cancer Research (5.4k citations), Oncology (9.0k citations), Neurology (2.8k citations) and Molecular Biology (20.4k citations). Authors at Shanghai Institute of Immunology collaborate with scholars in China, United States and Singapore and have published in prestigious journals including Nature Communications, Frontiers in Immunology, Immunity, The Journal of Immunology and Cell Reports. Some of Shanghai Institute of Immunology's most productive authors include Florent Ginhoux, Martin Guilliams, Ying Wang, Camille Blériot, Guangjie Chen, Ningli Li, Jingwu Z. Zhang, Bing Su, Huabing Li and Honglin Wang.

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.

Explore institutions with similar magnitude of impact