Institut Jacques Monod

200.2k citations
4.3k papers ·

Impact in

  • Aging top 2%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

  • Aging 114
    • Microtubule and mitosis dynamics 280
    • Cellular transport and secretion 233
    • Cellular Mechanics and Interactions 224

Institut Jacques Monod

4.1k papers receiving 192.5k citations

Peers

Institut Jacques Monod
Comparison fields: 5 of 232
  • Aging 4.5k
  • Cell Biology 30.6k
  • Molecular Biology 123.4k
  • Genetics 31.0k
  • Immunology 15.9k
Replace Centre de Génétique Moléculaire with:
Centre de Génétique Moléculaire France
Institut thématique Génétique, génomique et bioinformatique France
Institut Cochin France
Institut Pasteur de Lille France
The Francis Crick Institute United Kingdom
Genomics (United Kingdom) United Kingdom
Laboratoire de Biologie du Développement France
Vlaams Instituut voor Biotechnologie Belgium
Institut de Biologie de l'École Normale Supérieure France
Institute of Structural and Molecular Biology United Kingdom
Institut Jacques Monod relative to Centre de Génétique Moléculaire France Centre de Génétique Moléculaire's profile →
Citations per field
00.5×1.7×
Centre de Génétique Moléculaire · 1×
Citations per year

Countries citing scholars working at Institut Jacques Monod

Since Specialization
Citations

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

Fields of papers published by authors at Institut Jacques Monod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institut Jacques Monod 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 Institut Jacques Monod at the time of their publication.

About Institut Jacques Monod

In recent decades, authors affiliated with Institut Jacques Monod have published 4.3k papers, which have received a total of 200.2k indexed citations . Scholars at this organization have produced 114 papers in Aging, 814 papers in Cell Biology, 2.9k papers in Molecular Biology, 751 papers in Genetics and 278 papers in Cellular and Molecular Neuroscience on the topics of RNA and protein synthesis mechanisms (495 papers), Genomics and Chromatin Dynamics (367 papers), RNA Research and Splicing (326 papers), Microtubule and mitosis dynamics (280 papers), Bacterial Genetics and Biotechnology (267 papers), DNA Repair Mechanisms (257 papers), Cellular transport and secretion (233 papers) and Cellular Mechanics and Interactions (224 papers). Their work is cited by papers focused on Aging (4.5k citations), Cell Biology (30.6k citations), Molecular Biology (123.4k citations), Genetics (31.0k citations) and Immunology (15.9k citations). Authors at Institut Jacques Monod collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Journal of Biological Chemistry, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Journal of Cell Science and European Journal of Biochemistry. Some of Institut Jacques Monod's most productive authors include Giorgio Bernardi, Miroslav Radman, Danièle Touati, Reiner A. Veitia, Rosine Haguenauer‐Tsapis, Richard D’Ari, Pierre Nicolas, Benoît Ladoux, Dalila Touati and Claude Pieau.

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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