University of Tennessee Health Science Center

1.2M citations
35.7k papers ·

Impact in

Papers in

University of Tennessee Health Science Center

31.0k papers receiving 1.1M citations

Peers

University of Tennessee Health Science Center
Comparison fields: 5 of 250
  • Cellular and Molecular Neuroscience 85.4k
  • Immunology 86.1k
  • Endocrine and Autonomic Systems 26.4k
  • Molecular Biology 282.0k
  • Physiology 91.8k
Replace Vanderbilt University Medical Center with:
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University of Tennessee Health Science Center relative to Vanderbilt University Medical Center United States Vanderbilt University Medical Center's profile →
Citations per field
00.5×1.5×1.9×
Vanderbilt University Medical Center · 1×
Citations per year

Countries citing scholars working at University of Tennessee Health Science Center

Since Specialization
Citations

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

Fields of papers published by authors at University of Tennessee Health Science Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Tennessee Health Science Center 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 University of Tennessee Health Science Center at the time of their publication.

About University of Tennessee Health Science Center

In recent decades, authors affiliated with University of Tennessee Health Science Center have published 35.7k papers, which have received a total of 1.2M indexed citations . Scholars at this organization have produced 293 papers in Transplantation, 2.0k papers in Pediatrics, Perinatology and Child Health, 724 papers in Nephrology, 3.3k papers in Epidemiology and 1.9k papers in Cellular and Molecular Neuroscience on the topics of Neuroscience and Neuropharmacology Research (842 papers), Receptor Mechanisms and Signaling (568 papers), Ion channel regulation and function (468 papers), Acute Lymphoblastic Leukemia research (377 papers), Immune Cell Function and Interaction (374 papers), Neuropeptides and Animal Physiology (373 papers), Neuroscience of respiration and sleep (350 papers) and Cell Adhesion Molecules Research (345 papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (85.4k citations), Immunology (86.1k citations), Endocrine and Autonomic Systems (26.4k citations), Molecular Biology (282.0k citations) and Physiology (91.8k citations). Authors at University of Tennessee Health Science Center collaborate with scholars in United States, China and Canada and have published in prestigious journals including Journal of Biological Chemistry, American Journal of Obstetrics and Gynecology, PLoS ONE, The Journal of Immunology and Cancer. Some of University of Tennessee Health Science Center's most productive authors include Csaba P. Kövesdy, Ching‐Hon Pui, Andrzej Słomiński, David R. Nelson, Baha M. Sibai, Abbas E. Kitabchi, Charles J. Wilson, Hitoshi Kita, Timothy C. Fabian and S.T. Kitai.

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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