United States Department of Veterans Affairs

1.9M citations
47.3k papers ·

Impact in

Papers in

United States Department of Veterans Affairs

43.1k papers receiving 1.7M citations

Peers

United States Department of Veterans Affairs
Comparison fields: 5 of 251
  • Cellular and Molecular Neuroscience 145.8k
  • Behavioral Neuroscience 24.7k
  • Physiology 167.8k
  • Cognitive Neuroscience 130.6k
  • Endocrinology, Diabetes and Metabolism 100.1k
Replace University of Maryland, Baltimore with:
University of Maryland, Baltimore United States
Veterans Health Administration United States
Duke University Hospital United States
Icahn School of Medicine at Mount Sinai United States
Columbia University Irving Medical Center United States
Wake Forest University United States
Albert Einstein College of Medicine United States
Duke Medical Center United States
Children's Hospital of Philadelphia United States
National Cancer Institute United States
United States Department of Veterans Affairs relative to University of Maryland, Baltimore United States University of Maryland, Baltimore's profile →
Citations per field
00.5×1.5×
University of Maryland, Baltimore · 1×
Citations per year

Countries citing scholars working at United States Department of Veterans Affairs

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at United States Department of Veterans Affairs. 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 United States Department of Veterans Affairs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites United States Department of Veterans Affairs more than expected).

Fields of papers published by authors at United States Department of Veterans Affairs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with United States Department of Veterans Affairs 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 United States Department of Veterans Affairs at the time of their publication.

About United States Department of Veterans Affairs

In recent decades, authors affiliated with United States Department of Veterans Affairs have published 47.3k papers, which have received a total of 1.9M indexed citations . Scholars at this organization have produced 3.5k papers in Cardiology and Cardiovascular Medicine, 3.1k papers in Cellular and Molecular Neuroscience, 2.6k papers in Endocrinology, Diabetes and Metabolism, 1.1k papers in Nephrology and 6.6k papers in Surgery on the topics of Neuroscience and Neuropharmacology Research (1.2k papers), Neuropeptides and Animal Physiology (785 papers), Cardiac electrophysiology and arrhythmias (709 papers), Receptor Mechanisms and Signaling (693 papers), Metabolism and Genetic Disorders (677 papers), Diet and metabolism studies (668 papers), Liver Disease Diagnosis and Treatment (634 papers) and Monoclonal and Polyclonal Antibodies Research (627 papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (145.8k citations), Behavioral Neuroscience (24.7k citations), Physiology (167.8k citations), Cognitive Neuroscience (130.6k citations) and Endocrinology, Diabetes and Metabolism (100.1k citations). Authors at United States Department of Veterans Affairs collaborate with scholars in United States, Australia and United Kingdom and have published in prestigious journals including Gastroenterology, Journal of Clinical Investigation, American Heart Journal, The American Journal of Cardiology and The Journal of Urology. Some of United States Department of Veterans Affairs's most productive authors include John F. Kurtzke, Larry R. Squire, Jerome A. Yesavage, Rosalyn S. Yalow, Eugene C. Butcher, Solomon A. Berson, Javaid I. Sheikh, Kenneth M. Heilman, Gregory McCarthy and Peter M. Elias.

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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