Jérôme Coûtant

553 citations
12 papers · 446 · h-index 10

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 3
    • Lipid Membrane Structure and Behavior 2
    • Protein Structure and Dynamics 2
    • Receptor Mechanisms and Signaling 2
    • RNA modifications and cancer 2
    • Microtubule and mitosis dynamics 2
    • Cellular Mechanics and Interactions 2

Jérôme Coûtant

12 papers receiving 441 citations

Peers

Jérôme Coûtant
Comparison fields: 5 of 69
  • Cell Biology 192
  • Biophysics 58
  • Virology 34
  • Molecular Biology 256
  • Immunology and Allergy 19
Replace Bret B. Beyer with:
Bret B. Beyer United States
Chad D. McCormick United States
Michelle S. Itano United States
Josef Prassler Germany
Yury S. Bykov Germany
Arnon Henn Israel
Meghal Gandhi United States
Riya Raghupathy India
Miia Bovellan United Kingdom
Krishna Chinthalapudi United States
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Citations per field
00.5×3.8×
Bret B. Beyer · 1×
Citations per year

Countries citing papers authored by Jérôme Coûtant

Since Specialization
Citations

This map shows the geographic impact of Jérôme Coûtant's research. 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 Jérôme Coûtant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Coûtant more than expected).

Fields of papers citing papers by Jérôme Coûtant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérôme Coûtant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jérôme Coûtant. The network helps show where Jérôme Coûtant may publish in the future.

Co-authors

The 25 scholars most cited alongside Jérôme Coûtant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jérôme Coûtant Line = papers co-authored together Jérôme Coûtant links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004172
2 200480
3 201038
4 200730
5 201127
6 200827
7 200218
8 201617
9 201117
10 201210
11 20197
12 20083

About Jérôme Coûtant

Jérôme Coûtant is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Virology, having authored 12 papers that have together received 446 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (2 papers), Lipid Membrane Structure and Behavior (2 papers), Protein Structure and Dynamics (2 papers), Receptor Mechanisms and Signaling (2 papers), RNA modifications and cancer (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (192 citations), Biophysics (58 citations), Virology (34 citations), Molecular Biology (256 citations) and Immunology and Allergy (19 citations). Jérôme Coûtant has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Éric Guittet, Carine van Heijenoort, Maud Hertzog, Thomas Préat, M. Knossow, Gérard Didelot, Martin Gaudier, Dominique Didry, Benoı̂t Gigant and Marie-France Carlier. Their work appears in journals such as Magnetic Resonance in Chemistry, FEBS Journal, The FASEB Journal, Journal of Biological Chemistry and Cell.

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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