Singapore Immunology Network

1.6k papers and 102.0k indexed citations i.

About

In recent decades, authors affiliated with Singapore Immunology Network have published 1.6k papers, which have received a total of 102.0k indexed citations. Scholars at this organization have produced 743 papers in Immunology, 416 papers in Molecular Biology and 255 papers in Public Health, Environmental and Occupational Health on the topics of Immune Cell Function and Interaction (280 papers), Immunotherapy and Immune Responses (222 papers) and Mosquito-borne diseases and control (209 papers). Their work is cited by papers focused on Immunology (44.7k citations), Molecular Biology (29.3k citations) and Oncology (15.2k citations). Authors at Singapore Immunology Network collaborate with scholars in Singapore, United States and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Singapore Immunology Network's most productive authors include Florent Ginhoux, Subhra K. Biswas, Alberto Mantovani, Laurent Rénia, Lai Guan Ng, Lisa F. P. Ng, Kenji Kabashima, Anis Larbi, Evan W. Newell and Martin Guilliams.

In The Last Decade

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.

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).

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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