National Cancer Institute

5.8M citations
88.7k papers ·

Impact in

  • Oncology top 0.01%
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways
  • Immunology top 0.02%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

National Cancer Institute

80.6k papers receiving 5.2M citations

Peers

National Cancer Institute
Comparison fields: 5 of 251
  • Oncology 1.2M
  • Immunology 862.4k
  • Virology 189.3k
  • Cancer Research 525.1k
  • Molecular Biology 2.1M
Replace Johns Hopkins Medicine with:
Johns Hopkins Medicine United States
National Institutes of Health United States
Memorial Sloan Kettering Cancer Center United States
Duke Medical Center United States
Massachusetts General Hospital United States
Dana-Farber Cancer Institute United States
Brigham and Women's Hospital United States
Center for Cancer Research United States
Icahn School of Medicine at Mount Sinai United States
Albert Einstein College of Medicine United States
National Cancer Institute relative to Johns Hopkins Medicine United States Johns Hopkins Medicine's profile →
Citations per field
00.5×2.5×
Johns Hopkins Medicine · 1×
Citations per year

Countries citing scholars working at National Cancer Institute

Since Specialization
Citations

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

Fields of papers published by authors at National Cancer Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with National Cancer Institute 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 National Cancer Institute at the time of their publication.

About National Cancer Institute

In recent decades, authors affiliated with National Cancer Institute have published 88.7k papers, which have received a total of 5.8M indexed citations . Scholars at this organization have produced 18.6k papers in Oncology, 3.1k papers in Virology, 13.2k papers in Immunology, 8.0k papers in Cancer Research and 31.2k papers in Molecular Biology on the topics of Immune Cell Function and Interaction (4.3k papers), Immunotherapy and Immune Responses (4.0k papers), Monoclonal and Polyclonal Antibodies Research (3.2k papers), T-cell and B-cell Immunology (3.1k papers), HIV Research and Treatment (2.9k papers), Virus-based gene therapy research (2.8k papers), DNA Repair Mechanisms (2.2k papers) and RNA and protein synthesis mechanisms (2.1k papers). Their work is cited by papers focused on Oncology (1.2M citations), Immunology (862.4k citations), Virology (189.3k citations), Cancer Research (525.1k citations) and Molecular Biology (2.1M citations). Authors at National Cancer Institute collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including JNCI Journal of the National Cancer Institute, The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood. Some of National Cancer Institute's most productive authors include Steven A. Rosenberg, Frank J. Gonzalez, Ira Pastan, Richard A. Lempicki, Brad T. Sherman, Da Wei Huang, Michael M. Gottesman, Yves Pommier, Robert C. Gallo and Thomas A. Waldmann.

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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