May Institute

3.5k papers and 147.4k indexed citations i.

About

In recent decades, authors affiliated with May Institute have published 3.5k papers, which have received a total of 147.4k indexed citations. Scholars at this organization have produced 754 papers in Surgery, 618 papers in Molecular Biology and 346 papers in Epidemiology on the topics of Behavioral and Psychological Studies (188 papers), Autism Spectrum Disorder Research (150 papers) and T-cell and B-cell Immunology (142 papers). Their work is cited by papers focused on Molecular Biology (42.6k citations), Immunology (24.8k citations) and Surgery (22.3k citations). Authors at May Institute collaborate with scholars in United States, United Kingdom and Japan and have published in prestigious journals including Nature, Science and Cell. Some of May Institute's most productive authors include Jeffrey A. Bluestone, Anning Lin, Janet V. Passonneau, Geoffrey L. Greene, Oliver H. Lowry, Shutsung Liao, Marcus E. Peter, Michael Karin, Deborah J. Lenschow and John M. Kokontis.

In The Last Decade

Fields of papers published by authors at May Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at May Institute

Since Specialization
Citations

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