University of Rochester Medical Center

1.1M citations
28.4k papers ·

Impact in

Papers in

University of Rochester Medical Center

24.0k papers receiving 974.1k citations

Peers

University of Rochester Medical Center
Comparison fields: 5 of 250
  • Neurology 39.1k
  • Cellular and Molecular Neuroscience 83.9k
  • Developmental Neuroscience 17.4k
  • Neurology 54.0k
  • Molecular Biology 247.6k
Replace University Health Network with:
University Health Network Canada
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Veterans Health Administration United States
Thomas Jefferson University United States
United States Department of Veterans Affairs United States
Children's Hospital of Philadelphia United States
Penn State Milton S. Hershey Medical Center United States
SickKids Foundation Canada
NewYork–Presbyterian Hospital United States
Sunnybrook Health Science Centre Canada
University of Rochester Medical Center relative to University Health Network Canada University Health Network's profile →
Citations per field
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University Health Network · 1×
Citations per year

Countries citing scholars working at University of Rochester Medical Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at University of Rochester Medical 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 Rochester Medical 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 Rochester Medical Center more than expected).

Fields of papers published by authors at University of Rochester Medical Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Rochester Medical 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 Rochester Medical Center at the time of their publication.

About University of Rochester Medical Center

In recent decades, authors affiliated with University of Rochester Medical Center have published 28.4k papers, which have received a total of 1.1M indexed citations . Scholars at this organization have produced 2.7k papers in Pulmonary and Respiratory Medicine, 1.8k papers in Cardiology and Cardiovascular Medicine, 2.1k papers in Oncology, 263 papers in Geriatrics and Gerontology and 880 papers in Hematology on the topics of Lymphoma Diagnosis and Treatment (440 papers), Neuroscience and Neuropharmacology Research (409 papers), Immune Cell Function and Interaction (406 papers), Cardiac electrophysiology and arrhythmias (398 papers), RNA and protein synthesis mechanisms (396 papers), Suicide and Self-Harm Studies (387 papers), Ion channel regulation and function (381 papers) and Cardiac pacing and defibrillation studies (367 papers). Their work is cited by papers focused on Neurology (39.1k citations), Cellular and Molecular Neuroscience (83.9k citations), Developmental Neuroscience (17.4k citations), Neurology (54.0k citations) and Molecular Biology (247.6k citations). Authors at University of Rochester Medical Center collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Journal of Clinical Oncology, Blood, Journal of Biological Chemistry, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics. Some of University of Rochester Medical Center's most productive authors include Maiken Nedergaard, Berislav V. Zloković, Irfan Rahman, Steven A. Goldman, David H. Mathews, Fred Sherman, Paul R. Duberstein, Arthur J. Moss, Brendan F. Boyce and Wojciech Zaręba.

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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