Inserm

12.6M citations
314.6k papers ·

Impact in

  • Immunology top 0.01%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Receptor Mechanisms and Signaling
    • Mitochondrial Function and Pathology
    • Epigenetics and DNA Methylation

Papers in

    • Immune Cell Function and Interaction 8.6k
    • T-cell and B-cell Immunology 7.0k
    • Immunotherapy and Immune Responses 5.7k
    • Receptor Mechanisms and Signaling 5.3k
    • Ion channel regulation and function 3.7k

Inserm

274.9k papers receiving 11.2M citations

Peers

Inserm
Comparison fields: 5 of 252
  • Immunology 1.3M
  • Molecular Biology 3.7M
  • Cellular and Molecular Neuroscience 933.6k
  • Hepatology 297.1k
  • Cancer Research 568.2k
Replace Heidelberg University with:
Heidelberg University Germany
King's College London United Kingdom
Medical Research Council United Kingdom
University of Zurich Switzerland
Assistance Publique – Hôpitaux de Paris France
University of Milan Italy
Radboud University Nijmegen Netherlands
Institut Pasteur France
Ludwig-Maximilians-Universität München Germany
University of Freiburg Germany
Inserm relative to Heidelberg University Germany Heidelberg University's profile →
Citations per field
00.5×3.6×
Heidelberg University · 1×
Citations per year

Countries citing scholars working at Inserm

Since Specialization
Citations

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

Fields of papers published by authors at Inserm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Inserm 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 Inserm at the time of their publication.

About Inserm

In recent decades, authors affiliated with Inserm have published 314.6k papers, which have received a total of 12.6M indexed citations . Scholars at this organization have produced 28.2k papers in Immunology, 80.9k papers in Molecular Biology, 21.4k papers in Cellular and Molecular Neuroscience, 11.9k papers in Hematology and 10.3k papers in Genetics on the topics of Immune Cell Function and Interaction (8.6k papers), Neuroscience and Neuropharmacology Research (7.8k papers), T-cell and B-cell Immunology (7.0k papers), Immunotherapy and Immune Responses (5.7k papers), Receptor Mechanisms and Signaling (5.3k papers), Monoclonal and Polyclonal Antibodies Research (4.6k papers), Neuropeptides and Animal Physiology (4.2k papers) and Ion channel regulation and function (3.7k papers). Their work is cited by papers focused on Immunology (1.3M citations), Molecular Biology (3.7M citations), Cellular and Molecular Neuroscience (933.6k citations), Hepatology (297.1k citations) and Cancer Research (568.2k citations). Authors at Inserm collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Blood, Scientific Reports, Journal of Biological Chemistry and The Journal of Immunology. Some of Inserm's most productive authors include Guido Kroemer, Stanislas Dehaene, Pierre Chambon, Bart Staels, Laurence Zitvogel, Clotilde Théry, Lorenzo Galluzzi, Yehezkel Ben‐Ari, Pierre D. Delmas and Johan Auwerx.

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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