UConn Health

18.9k papers and 796.7k indexed citations i.

About

In recent decades, authors affiliated with UConn Health have published 18.9k papers, which have received a total of 796.7k indexed citations. Scholars at this organization have produced 5.6k papers in Molecular Biology, 2.1k papers in Surgery and 1.8k papers in Epidemiology on the topics of Bacterial Genetics and Biotechnology (460 papers), Bone Metabolism and Diseases (413 papers) and Bone health and treatments (395 papers). Their work is cited by papers focused on Molecular Biology (267.0k citations), Epidemiology (77.0k citations) and Genetics (69.6k citations). Authors at UConn Health collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of UConn Health's most productive authors include Peter Setlow, Lawrence G. Raisz, Brenton R. Graveley, Ernesto Canalis, Leo Lefrançois, Nancy M. Petry, Timothy Hla, Cato T. Laurencin, James F. Rusling and Thomas F. Babor.

In The Last Decade

Fields of papers published by authors at UConn Health

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with UConn Health 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 UConn Health at the time of their publication.

Countries citing scholars working at UConn Health

Since Specialization
Citations

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

Explore institutions with similar magnitude of impact

Rankless by CCL
2025