Gérard Gâcon

3.3k citations
93 papers · 2.4k · h-index 28

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Hemoglobin structure and function
    • Cellular Mechanics and Interactions
    • Sperm and Testicular Function

Papers in

    • Protein Kinase Regulation and GTPase Signaling 14
    • Hemoglobin structure and function 16
    • Cellular transport and secretion 8
    • Microtubule and mitosis dynamics 6

Gérard Gâcon

90 papers receiving 2.3k citations

Peers

Gérard Gâcon
Comparison fields: 5 of 99
  • Cell Biology 667
  • Reproductive Medicine 280
  • Immunology and Allergy 114
  • Molecular Biology 1.3k
  • Immunology 379
Replace John Coadwell with:
John Coadwell United Kingdom
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Simone Chevalier Canada
J Finidori France
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Siniša Volarević Croatia
Terry Copeland United States
Shinji Kamada Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gérard Gâcon

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Gâcon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gérard Gâcon. 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 Gérard Gâcon. The network helps show where Gérard Gâcon may publish in the future.

Co-authors

The 25 scholars most cited alongside Gérard Gâcon, 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 Gérard Gâcon Line = papers co-authored together Gérard Gâcon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995286
2 1998140
3 2011128
4 1992103
5 200798
6 201394
7 199694
8 199277
9 200174
10 200968
11 201166
12 199766
13 200554
14 201150
15 200749
16 197844
17 199143
18 198243
19 201140
20 198533

About Gérard Gâcon

Gérard Gâcon is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Immunology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hemoglobin structure and function (16 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Hemoglobinopathies and Related Disorders (14 papers), Neonatal Health and Biochemistry (10 papers), Erythrocyte Function and Pathophysiology (9 papers), Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (6 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Cell Biology (667 citations), Reproductive Medicine (280 citations), Immunology and Allergy (114 citations), Molecular Biology (1.3k citations) and Immunology (379 citations). Gérard Gâcon has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Olivier Dorseuil, Aminata Touré, Jacques Camonis, Jacques Bertoglio, Laurence Morin, Louise Reibel, Patrick Lorès, Dominique Labie, Denise Escalier and Roland Berger. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, FEBS Letters, European Journal of Orthopaedic Surgery & Traumatology and Human Molecular Genetics.

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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