Benoı̂t Giannesini

1.2k citations
43 papers · 961 · h-index 20

Impact in

Papers in

Benoı̂t Giannesini

40 papers receiving 940 citations

Peers

Benoı̂t Giannesini
Comparison fields: 5 of 70
  • Rehabilitation 80
  • Complementary and alternative medicine 104
  • Orthopedics and Sports Medicine 74
  • Pathology and Forensic Medicine 99
  • Molecular Biology 365
Replace Laura Pietrangelo with:
Laura Pietrangelo Italy
Yuko Kurosawa Japan
Abram Katz Sweden
Alessandra Bosutti Italy
Jianxun Yi United States
Ariel Eduardo Contreras‐Ferrat Chile
Matthew Christopher Kostek United States
Zachary Graham United States
Thomas Brioche France
Maarit Lehti Finland
Benoı̂t Giannesini relative to Laura Pietrangelo Italy Laura Pietrangelo's profile →
Citations per field
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Laura Pietrangelo · 1×
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 2014121
2 200974
3 201467
4 200853
5 200344
6 201338
7 201034
8 200433
9 201133
10 201533
11 200331
12 200931
13 201030
14 200128
15 200725
16 201524
17 200522
18 201321
19 201421
20 201821

About Benoı̂t Giannesini

Benoı̂t Giannesini is a scholar working on Complementary and alternative medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Physiology, having authored 43 papers that have together received 961 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (26 papers), Cardiovascular and exercise physiology (9 papers), Advanced MRI Techniques and Applications (7 papers), Muscle activation and electromyography studies (5 papers), Adipose Tissue and Metabolism (5 papers), Muscle metabolism and nutrition (5 papers), Mitochondrial Function and Pathology (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Rehabilitation (80 citations), Complementary and alternative medicine (104 citations), Orthopedics and Sports Medicine (74 citations), Pathology and Forensic Medicine (99 citations) and Molecular Biology (365 citations). Benoı̂t Giannesini has collaborated with scholars based in France, United States and Germany. Frequent co-authors include David Bendahan, Patrick J. Cozzone, Yann Le Fur, Monique Bernard, Christophe Vilmen, Marguerite Izquierdo, Christiane Dalmasso, Helge Amthor, Tanguy Marqueste and Émilie Pecchi. Their work appears in journals such as Muscle & Nerve, American Journal of Physiology-Endocrinology and Metabolism, Journal of Applied Physiology, Neuromuscular Disorders and Magnetic Resonance in Medicine.

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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