F Chevallier

1.6k citations
93 papers · 1.3k · h-index 20

Impact in

Papers in

F Chevallier

91 papers receiving 1.2k citations

Peers

F Chevallier
Comparison fields: 5 of 103
  • Electrochemistry 232
  • Bioengineering 116
  • Nutrition and Dietetics 237
  • Endocrinology, Diabetes and Metabolism 227
  • Surgery 571
Replace W. Michael Moore with:
W. Michael Moore United States
Jiali Deng China
Grażyna Chwatko Poland
Dominik Hüster Germany
Rita Maalouf Lebanon
Misun Lee South Korea
Suping Yang United States
Dieter J. Vonderschmitt Switzerland
Maryam Hazegh-Azam United States
Panakkezhum D. Thomas Canada
F Chevallier relative to W. Michael Moore United States W. Michael Moore's profile →
Citations per field
00.5×9.1×
W. Michael Moore · 1×
Citations per year

Countries citing papers authored by F Chevallier

Since Specialization
Citations

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

Fields of papers citing papers by F Chevallier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F Chevallier, 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 F Chevallier Line = papers co-authored together F Chevallier 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 1958134
2 196761
3 200759
4 196456
5 197653
6 197753
7 197244
8 196943
9 197638
10 197833
11 198232
12 200530
13 195828
14 198127
15 197327
16 200626
17 197225
18 200522
19 197322
20 196620

About F Chevallier

F Chevallier is a scholar working on Surgery, Molecular Biology, Physiology, Electrochemistry and Endocrinology, Diabetes and Metabolism, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (50 papers), Diet and metabolism studies (17 papers), Electrochemical Analysis and Applications (13 papers), Analytical Chemistry and Sensors (8 papers), Lipoproteins and Cardiovascular Health (8 papers), Conducting polymers and applications (7 papers), Fatty Acid Research and Health (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Electrochemistry (232 citations), Bioengineering (116 citations), Nutrition and Dietetics (237 citations), Endocrinology, Diabetes and Metabolism (227 citations) and Surgery (571 citations). F Chevallier has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Denis Mathé, Richard G. Compton, C. Lutton, I.L. Chaikoff, Robert Hill, Jacqueline Férézou, T. Coste, Timothy G. J. Jones, Li Jiang and Colette Sérougne. Their work appears in journals such as Journal of Electroanalytical Chemistry, Biochimie, Experimental Neurology, Digestion and Journal of Nutrition.

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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