Inserm

11.5M citations
298.1k 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
    • Epigenetics and DNA Methylation

Papers in

    • Immune Cell Function and Interaction 8.9k
    • T-cell and B-cell Immunology 7.1k
    • Immunotherapy and Immune Responses 5.9k
    • Receptor Mechanisms and Signaling 5.4k

Inserm

282.2k papers receiving 11.4M citations

Peers

Inserm
Comparison fields: 5 of 251
  • Immunology 1.3M
  • Molecular Biology 3.7M
  • Cellular and Molecular Neuroscience 912.7k
  • Hepatology 333.2k
  • Cancer Research 616.0k
Replace Heidelberg University with:
Heidelberg University Germany
King's College London United Kingdom
Medical Research Council United Kingdom
Assistance Publique – Hôpitaux de Paris France
Radboud University Nijmegen Netherlands
University of Milan Italy
University of Zurich Switzerland
Institut Pasteur France
Ludwig-Maximilians-Universität München Germany
University Medical Center Utrecht Netherlands
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 298.1k papers, which have received a total of 11.5M indexed citations . Scholars at this organization have produced 30.0k papers in Immunology, 83.8k papers in Molecular Biology, 21.7k papers in Cellular and Molecular Neuroscience, 12.8k papers in Hematology and 11.5k papers in Genetics on the topics of Immune Cell Function and Interaction (8.9k papers), Neuroscience and Neuropharmacology Research (8.0k papers), T-cell and B-cell Immunology (7.1k papers), Immunotherapy and Immune Responses (5.9k papers), Receptor Mechanisms and Signaling (5.4k papers), Liver Disease Diagnosis and Treatment (4.9k papers), Monoclonal and Polyclonal Antibodies Research (4.8k papers) and HIV Research and Treatment (4.4k papers). Their work is cited by papers focused on Immunology (1.3M citations), Molecular Biology (3.7M citations), Cellular and Molecular Neuroscience (912.7k citations), Hepatology (333.2k citations) and Cancer Research (616.0k citations). Authors at Inserm collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Blood, Journal of Biological Chemistry, Scientific Reports and The Journal of Immunology. Some of Inserm's most productive authors include Guido Kroemer, Pierre Chambon, Stanislas Dehaene, Laurence Zitvogel, Bart Staels, Clotilde Théry, Yehezkel Ben‐Ari, Lorenzo Galluzzi, 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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