Michel Duvert

581 citations
37 papers · 396 · h-index 13

Impact in

Papers in

Michel Duvert

35 papers receiving 383 citations

Peers

Michel Duvert
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 106
  • Cell Biology 83
  • Paleontology 32
  • Biochemistry 28
  • Ecology 92
Replace Joseph R. Schulz with:
Joseph R. Schulz United States
Bertrand Picheral France
Martine Le Gouar France
Christiane Marcaillou France
Jean‐Marie Bassot France
E. M. Deuchar United Kingdom
Tim Whalley United Kingdom
U Klein Germany
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Citations per field
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Citations per year

Countries citing papers authored by Michel Duvert

Since Specialization
Citations

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

Fields of papers citing papers by Michel Duvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence for implication of muscle-specific calpain (p94) in myofibrillar integrity.
199641
2 199927
3 199927
4 197726
5 198026
6 197924
7 198424
8 198320
9 200218
10 198617
11 200214
12 198514
13 198013
14 198012
15 198610
16 199110
17 199010
18 198510
19 19909
20 20007

About Michel Duvert

Michel Duvert is a scholar working on Molecular Biology, Ecology, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 37 papers that have together received 396 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (12 papers), Neurobiology and Insect Physiology Research (10 papers), Mitochondrial Function and Pathology (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Medieval European Literature and History (3 papers), Basque language and culture studies (3 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (106 citations), Cell Biology (83 citations), Paleontology (32 citations), Biochemistry (28 citations) and Ecology (92 citations). Michel Duvert has collaborated with scholars based in France, Canada and Spain. Frequent co-authors include Jean‐Pierre Savineau, Daniel Gros, Jean-Paul Casanova, Jean Velours, Bernard Guérin, Claude Cassagne, Lilly Maneta‐Peyret, Patrick Moreau, Yves Bouligand and Patrick W. Vincent. Their work appears in journals such as Tissue and Cell, Cell and Tissue Research, Marine Biology, The International Journal of Developmental Biology and FEBS Letters.

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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