Frédéric Daussin

32 papers receiving 4.7k citations

Frédéric Daussin's Hit Papers

Resveratrol Improves Mitochondrial Function and Protects against Metabolic Disease by Activating SIRT1 and PGC-1α 2006 · 3.4k citations
3.4k0+6+13Years since publication10002.0k3.0k

Peers

Frédéric Daussin
Comparison fields: 5 of 111
  • Geriatrics and Gerontology 1.9k
  • Aging 200
  • Physiology 2.5k
  • Complementary and alternative medicine 503
  • Rehabilitation 352
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Esther Moonen‐Kornips Netherlands
Eduardo R. Ropelle Brazil
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Kelsey H. Fisher‐Wellman United States
Marie Lagouge France
Teresa C. Leone United States
Esther Phielix Netherlands
Pontus Boström Sweden
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Citations per year

Countries citing papers authored by Frédéric Daussin

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Daussin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resveratrol Improves Mitochondrial Function and Protects against Metabolic Disease by Activating SIRT1 and PGC-1α
Hit paper breakdown →
20063352
2 2008287
3 2011191
4 2012182
5 2007113
6 201592
7 200885
8 201269
9 201064
10 201139
11 201238
12 202135
13 202226
14 202026
15 201925
16 201422
17 201919
18 200715
19 201812
20 20158

About Frédéric Daussin

Frédéric Daussin is a scholar working on Physiology, Complementary and alternative medicine, Orthopedics and Sports Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 4.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Cardiovascular and exercise physiology (13 papers), Sports Performance and Training (9 papers), Mitochondrial Function and Pathology (7 papers), Exercise and Physiological Responses (5 papers), Sports injuries and prevention (5 papers), Muscle Physiology and Disorders (5 papers) and Muscle metabolism and nutrition (4 papers). The work is most often cited by research in Geriatrics and Gerontology (1.9k citations), Aging (200 citations), Physiology (2.5k citations), Complementary and alternative medicine (503 citations) and Rehabilitation (352 citations). Frédéric Daussin has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Bernard Gény, Johan Auwerx, Carmen Argmann, Zachary Gerhart‐Hines, Peter J. Elliott, Carles Lerín, Marie Lagouge, Pere Puigserver, Markku Laakso and Hamid Méziane. Their work appears in journals such as The Journal of Physiology, Journal of Human Kinetics, The Journal of Strength and Conditioning Research, Muscle & Nerve and Journal of Applied Physiology.

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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