Lee College

277 papers and 4.4k indexed citations i.

About

In recent decades, authors affiliated with Lee College have published 277 papers, which have received a total of 4.4k indexed citations. Scholars at this organization have produced 36 papers in Genetics, 23 papers in Molecular Biology and 23 papers in Sociology and Political Science on the topics of Forensic and Genetic Research (29 papers), Forensic Fingerprint Detection Methods (14 papers) and COVID-19 epidemiological studies (10 papers). Their work is cited by papers focused on Rheumatology (615 citations), Molecular Biology (430 citations) and Education (403 citations). Authors at Lee College collaborate with scholars in United States, Croatia and Bosnia and Herzegovina and have published in prestigious journals including Journal of Applied Physics, PLoS ONE and Journal of Fluid Mechanics. Some of Lee College's most productive authors include Navid Goudarzi, Curtis Hieggelke, David P. Maloney, Alan Van Heuvelen, Thomas O'Kuma, Dragan Primorac, Md. Mokhlesur Rahman, Vilim Molnar, Vid Matišić and Claire L. Glynn.

In The Last Decade

Fields of papers published by authors at Lee College

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Lee College 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 Lee College at the time of their publication.

Countries citing scholars working at Lee College

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Lee College. 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 Lee College with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee College 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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2025