Benoı̂t Giannesini

40 papers receiving 924 citations

Peers

Benoı̂t Giannesini
Comparison fields: 5 of 84
  • Rehabilitation 103
  • Complementary and alternative medicine 98
  • Orthopedics and Sports Medicine 94
  • Sensory Systems 49
  • Physiology 248
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A. Katz Sweden
Tatsuro Amano Japan
Giuseppe S. Posterino Australia
Graham R. McGinnis United States
C. R. Lamboley Australia
Brittany A. Edgett Canada
Adela Penesová Slovakia
Thomas Brioche France
Maarit Lehti Finland
Mai Charlotte Krogh Severinsen Denmark
Benoı̂t Giannesini relative to A. Katz Sweden A. Katz's profile →
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Citations per year

Countries citing papers authored by Benoı̂t Giannesini

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Giannesini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014119
2 200974
3 201463
4 200852
5 200347
6 201338
7 201035
8 200433
9 201133
10 201531
11 201031
12 200331
13 200930
14 200129
15 200725
16 200522
17 201522
18 201321
19 201819
20 200118

About Benoı̂t Giannesini

Benoı̂t Giannesini is a scholar working on Molecular Biology, Physiology, Cell Biology, Complementary and alternative medicine and Biomedical Engineering, having authored 43 papers that have together received 946 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Adipose Tissue and Metabolism (13 papers), Muscle metabolism and nutrition (11 papers), Cardiovascular and exercise physiology (11 papers), Muscle activation and electromyography studies (10 papers), Exercise and Physiological Responses (7 papers), Cardiomyopathy and Myosin Studies (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Rehabilitation (103 citations), Complementary and alternative medicine (98 citations), Orthopedics and Sports Medicine (94 citations), Sensory Systems (49 citations) and Physiology (248 citations). Benoı̂t Giannesini has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include David Bendahan, Patrick J. Cozzone, Yann Le Fur, Monique Bernard, Christophe Vilmen, Marguerite Izquierdo, Christiane Dalmasso, Tanguy Marqueste, Jean‐François Landrier and Helge Amthor. Their work appears in journals such as Muscle & Nerve, American Journal of Physiology-Endocrinology and Metabolism, Journal of Applied Physiology, European Journal of Pharmacology and eLife.

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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