The Queen's Medical Research Institute

2.7k papers and 131.6k indexed citations

About

In recent decades, authors affiliated with The Queen's Medical Research Institute have published 2.7k papers, which have received a total of 131.6k indexed citations. Scholars at this organization have produced 723 papers in Molecular Biology, 413 papers in Endocrinology, Diabetes and Metabolism and 340 papers in Immunology on the topics of Hormonal Regulation and Hypertension (224 papers), Birth, Development, and Health (164 papers) and Stress Responses and Cortisol (125 papers). Their work is cited by papers focused on Molecular Biology (34.1k citations), Immunology (19.7k citations) and Reproductive Medicine (13.2k citations). Authors at The Queen's Medical Research Institute collaborate with scholars in United Kingdom, United States and Germany and have published in prestigious journals including Nature, New England Journal of Medicine and Cell. Some of The Queen's Medical Research Institute's most productive authors include Jonathan R. Seckl, Rebecca M. Reynolds, Richard M. Sharpe, Hilary Critchley, Neil C. Henderson, Brian R. Walker, Karen E. Chapman, John Savill, Charles N. Serhan and Lee B. Smith.

In The Last Decade

The Queen's Medical Research Institute

2.6k papers receiving 131.2k citations

Fields of papers published by authors at The Queen's Medical Research Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with The Queen's Medical Research 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 The Queen's Medical Research Institute at the time of their publication.

Countries citing scholars working at The Queen's Medical Research Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at The Queen's Medical Research 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 The Queen's Medical Research Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Queen's Medical Research 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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2026