Singapore Immunology Network

128.1k citations
1.8k papers ·

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immune Cell Function and Interaction 289
    • Immunotherapy and Immune Responses 222
    • T-cell and B-cell Immunology 204
    • Immune cells in cancer 187
    • Immune Response and Inflammation 114

Singapore Immunology Network

1.7k papers receiving 118.0k citations

Peers

Singapore Immunology Network
Comparison fields: 5 of 223
  • Immunology 49.6k
  • Neurology 10.9k
  • Biological Psychiatry 2.6k
  • Infectious Diseases 14.5k
  • Oncology 16.7k
Replace Genome Institute of Singapore with:
Genome Institute of Singapore Singapore
Institute of Medical Biology Singapore
Bioinformatics Institute Singapore
SingHealth Duke-NUS Academic Medical Centre Singapore
National Heart Centre Singapore Singapore
Singapore Bioimaging Consortium Singapore
National Heart Institute Malaysia
Fifth Affiliated Hospital of Sun Yat-sen University China
Guangzhou Institutes of Biomedicine and Health China
PharmacoGenetics (China) China
Singapore Immunology Network relative to Genome Institute of Singapore Singapore Genome Institute of Singapore's profile →
Citations per field
00.5×5.6×
Genome Institute of Singapore · 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 1.8k papers, which have received a total of 128.1k indexed citations . Scholars at this organization have produced 774 papers in Immunology, 33 papers in Biological Psychiatry, 109 papers in Neurology, 225 papers in Infectious Diseases and 280 papers in Public Health, Environmental and Occupational Health on the topics of Immune Cell Function and Interaction (289 papers), Immunotherapy and Immune Responses (222 papers), Mosquito-borne diseases and control (208 papers), T-cell and B-cell Immunology (204 papers), Immune cells in cancer (187 papers), Malaria Research and Control (159 papers), Immune Response and Inflammation (114 papers) and Neuroinflammation and Neurodegeneration Mechanisms (104 papers). Their work is cited by papers focused on Immunology (49.6k citations), Neurology (10.9k citations), Biological Psychiatry (2.6k citations), Infectious Diseases (14.5k citations) and Oncology (16.7k 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, PLoS ONE, Scientific Reports, The Journal of Immunology and Nature Communications. Some of Singapore Immunology Network's most productive authors include Florent Ginhoux, Subhra K. Biswas, Alberto Mantovani, Laurent Rénia, Anis Larbi, Lai Guan Ng, Lisa F. P. Ng, Kenji Kabashima, Evan W. 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.

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