Singapore Immunology Network

175.5k citations
2.1k papers ·

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • T-cell and B-cell Immunology 189
    • Immunotherapy and Immune Responses 167
    • Immune cells in cancer 145
    • Immune Response and Inflammation 73

Singapore Immunology Network

2k papers receiving 175.3k citations

Peers

Singapore Immunology Network
Comparison fields: 5 of 224
  • Immunology 47k
  • Neurology 9.6k
  • Oncology 18k
  • Aging 1.3k
  • Infectious Diseases 13.2k
Replace Institute of Molecular and Cell Biology with:
Institute of Molecular and Cell Biology Singapore
Genome Institute of Singapore Singapore
National Cancer Institute Malaysia
National Cancer Centre Singapore Singapore
Cancer Science Institute of Singapore Singapore
Bioinformatics Institute Singapore
Mechanobiology Institute Singapore
BGI Group (China) China
Zhongshan Ophthalmic Center, Sun Yat-sen University
State Key Laboratory of Ophthalmology
Singapore Immunology Network relative to Institute of Molecular and Cell Biology Singapore Institute of Molecular and Cell Biology's profile →
Citations per field
00.5×2×3.1×
Institute of Molecular and Cell Biology · 1×
Citations per year

Countries citing scholars working at Singapore Immunology Network

Since Specialization
Citations

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

Fields of papers published by authors at Singapore Immunology Network

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Singapore Immunology Network 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 Singapore Immunology Network at the time of their publication.

About Singapore Immunology Network

In recent decades, authors affiliated with Singapore Immunology Network have published 2.1k papers, which have received a total of 175.5k indexed citations . Scholars at this organization have produced 630 papers in Immunology, 21 papers in Aging, 83 papers in Dermatology, 309 papers in Public Health, Environmental and Occupational Health and 70 papers in Neurology on the topics of T-cell and B-cell Immunology (189 papers), Immunotherapy and Immune Responses (167 papers), Malaria Research and Control (158 papers), Immune cells in cancer (145 papers), Mosquito-borne diseases and control (134 papers), Cancer Immunotherapy and Biomarkers (102 papers), Immune Response and Inflammation (73 papers) and SARS-CoV-2 and COVID-19 Research (73 papers). Their work is cited by papers focused on Immunology (47k citations), Neurology (9.6k citations), Oncology (18k citations), Aging (1.3k citations) and Infectious Diseases (13.2k citations). Authors at Singapore Immunology Network collaborate with scholars in Singapore, United States and United Kingdom and have published in prestigious journals including Frontiers in Immunology, Immunity, PLoS ONE, Scientific Reports and Nature Communications. Some of Singapore Immunology Network's most productive authors include Florent Ginhoux, Subhra Kumar Biswas, Alberto Mantovani, Laurent Rénia, Anis Larbi, Lai Guan Ng, Lisa F. P. Ng, Kenji Kabashima, Evan William Newell and Tamàs Fülöp.

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