University of Massachusetts Chan Medical School

2.0M citations
39.4k papers ·

Impact in

  • Aging top 0.2%
  • Immunology top 0.2%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

  • Aging 400
    • Immune Cell Function and Interaction 1.2k
    • T-cell and B-cell Immunology 837
    • Immune Response and Inflammation 772

University of Massachusetts Chan Medical School

37.4k papers receiving 2.0M citations

Peers

University of Massachusetts Chan Medical School
Comparison fields: 5 of 250
  • Aging 25.7k
  • Immunology 254.9k
  • Molecular Biology 777.0k
  • Cancer Research 124.9k
  • Cell Biology 133.7k
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University of Massachusetts Chan Medical School relative to Albert Einstein College of Medicine United States Albert Einstein College of Medicine's profile →
Citations per field
00.5×1.5×
Albert Einstein College of Medicine · 1×
Citations per year

Countries citing scholars working at University of Massachusetts Chan Medical School

Since Specialization
Citations

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

Fields of papers published by authors at University of Massachusetts Chan Medical School

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Massachusetts Chan Medical School 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 Massachusetts Chan Medical School at the time of their publication.

About University of Massachusetts Chan Medical School

In recent decades, authors affiliated with University of Massachusetts Chan Medical School have published 39.4k papers, which have received a total of 2.0M indexed citations . Scholars at this organization have produced 400 papers in Aging, 3.8k papers in Immunology, 757 papers in Virology, 10.8k papers in Molecular Biology and 3.2k papers in Cardiology and Cardiovascular Medicine on the topics of Immune Cell Function and Interaction (1.2k papers), RNA Research and Splicing (1.2k papers), Genomics and Chromatin Dynamics (915 papers), RNA and protein synthesis mechanisms (885 papers), T-cell and B-cell Immunology (837 papers), Immune Response and Inflammation (772 papers), RNA modifications and cancer (726 papers) and CRISPR and Genetic Engineering (713 papers). Their work is cited by papers focused on Aging (25.7k citations), Immunology (254.9k citations), Molecular Biology (777.0k citations), Cancer Research (124.9k citations) and Cell Biology (133.7k citations). Authors at University of Massachusetts Chan Medical School collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Journal of Biological Chemistry, The Journal of Immunology, Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology. Some of University of Massachusetts Chan Medical School's most productive authors include Roger J. Davis, Phillip D. Zamore, Jon Kabat‐Zinn, Katherine A. Fitzgerald, Eicke Latz, Michael Czech, Gyöngyi Szabó, Russell A. Barkley, Jane B. Lian and Kenneth L. Rock.

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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