Jean Chevallier

692 citations
38 papers · 578 indexed · h-index 14
Topics
Fungal and yeast genetics research (12 papers)Lipid Membrane Structure and Behavior (7 papers)Polyamine Metabolism and Applications (7 papers)
Partner nations
FranceNorwayNetherlands

In The Last Decade

Jean Chevallier

36 papers receiving 536 citations

Peers

Jean Chevallier
Comparison fields: 5 of 88
  • Molecular Biology 444
  • Cell Biology 89
  • Cellular and Molecular Neuroscience 61
  • Physiology 38
  • Spectroscopy 38
Replace Helena M. Scofano with:
Helena M. Scofano Brazil
M. Moosmayer Switzerland
Maria Nyblom Sweden
M. Balerna Switzerland
Barry Tulk United States
Ferdinando Palmieri Italy
Y. Makino Japan
Terrence J. Andreasen United States
Tarmo P. Roosild United States
H Fishkes United States
Jean Chevallier relative to Helena M. Scofano Brazil Helena M. Scofano's profile →
Citations per field
00.5×1.5×
Helena M. Scofano · 1×
Citations per year

Countries citing papers authored by Jean Chevallier

Since Specialization
Citations

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

Fields of papers citing papers by Jean Chevallier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Chevallier

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Chevallier. A scholar is included among the top collaborators of Jean Chevallier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Chevallier. Jean Chevallier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 18
3 4
4 11
5 23
6 15
7 1
8 1
9 14
10 24
11 11
12 19
13 2
14
Poissons-amphibiens, reptiles
8
15 6
16 11
17 124
18
[Identification of the group controlling trypsin activity at alkaline pH values].
6
19 22
20 1

About Jean Chevallier

Jean Chevallier is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 38 papers that have together received 578 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), Lipid Membrane Structure and Behavior (7 papers) and Polyamine Metabolism and Applications (7 papers). The work is most often cited by research in Physiology (31 citations), Molecular Biology (444 citations) and Cell Biology (89 citations). Jean Chevallier has collaborated with scholars based in France, Norway and Netherlands. Frequent co-authors include Ronald A. Butow, Daniel Brèthes, Christian Napias, Jeannine M. Yon, Jean J. Nordmann, Benoı̂t Pinson, Thierry Ferreira, Emmanuel Guélin, Michel Rigoulet and Bernard Guérin. Their work appears in journals such as Nature, Journal of Biological Chemistry and Biochemistry.

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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