Frédéric Bequet

758 citations
9 papers · 310 · h-index 7

Impact in

Papers in

Frédéric Bequet

8 papers receiving 299 citations

Peers

Frédéric Bequet
Comparison fields: 5 of 76
  • Developmental Neuroscience 43
  • Behavioral Neuroscience 36
  • Rehabilitation 40
  • Biological Psychiatry 14
  • Cellular and Molecular Neuroscience 100
Replace Kimberly G. Freeman with:
Kimberly G. Freeman United States
Taeck‐Hyun Lee South Korea
Lauren G. Koch United States
M. Berthelot France
D. Merino France
Jang Soo Yook South Korea
Michele Hummel United States
T. F. Meert Belgium
Márcia Consentino Kronka Sosthenes Brazil
Geehoon Chung South Korea
Frédéric Bequet relative to Kimberly G. Freeman United States Kimberly G. Freeman's profile →
Citations per field
00.5×2.7×
Kimberly G. Freeman · 1×
Citations per year

Countries citing papers authored by Frédéric Bequet

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Bequet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2001115
2 200747
3 200143
4 200132
5 200225
6 200023
7 201919
8 20206
9 20240

About Frédéric Bequet

Frédéric Bequet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Immunology, having authored 9 papers that have together received 310 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Adipose Tissue and Metabolism (2 papers), Diet and metabolism studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Attention Deficit Hyperactivity Disorder (1 paper), Neuroscience of respiration and sleep (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Developmental Neuroscience (43 citations), Behavioral Neuroscience (36 citations), Rehabilitation (40 citations), Biological Psychiatry (14 citations) and Cellular and Molecular Neuroscience (100 citations). Frédéric Bequet has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include M. Berthelot, Danielle Gomez-Mérino, Mounir Chennaoui, C. Y. Guezennec, Charles Yannick Guézennec, Gérard Le Fur, B. Scatton, Mohamed Maftouh, C. Picard and Christophe Piérard. Their work appears in journals such as Poultry Science, Journal of Proteomics, European Journal of Neuroscience, Journal of Applied Physiology and Metabolomics.

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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