Marc Foretz

26.4k citations
187 papers · 20.1k indexed · 10 hit papers · h-index 70

Marc Foretz

182 papers receiving 19.9k citations

Hit Papers

Metform...36019992026200820174008001.2k

Peers

Marc Foretz
Comparison fields: 5 of 157
  • Geriatrics and Gerontology 957
  • Endocrinology, Diabetes and Metabolism 3.7k
  • Physiology 5.2k
  • Molecular Biology 13.0k
  • Aging 330
Replace Simon A. Hawley with:
Simon A. Hawley United Kingdom
Gregory R. Steinberg Canada
Michael F. Hirshman United States
Laurie J. Goodyear United States
Kazuyuki Tobe Japan
Nicolas Musi United States
Lee A. Witters United States
Fabienne Foufelle France
Jason K. Kim United States
Oksana Gavrilova United States
Marc Foretz relative to Simon A. Hawley United Kingdom Simon A. Hawley's profile →
Citations per field
00.5×1.5×2.1×
Simon A. Hawley · 1×
Citations per year

Countries citing papers authored by Marc Foretz

Since Specialization
Citations

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

Fields of papers citing papers by Marc Foretz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20235
5 20234
6 202322
7
Metformin: update on mechanisms of action and repurposing potentialbreakdown →
2023360
8 202133
9 20215
10 201795
11
AMPK in skeletal muscle function and metabolismbreakdown →
2017352
12 201611
13 201522
14 201457
15 2013104
16 2012126
17
Metformine : le point sur les mécanismes d'action
20120
18
Abstract 13469: Alpha1-AMPK Deletion Enhances Endothelial Dysfunction and Vascular Oxidative Stress During Chronic Angiotensin II Treatment by Upregulation of Nox2
20101
19 20062
20 2000351

About Marc Foretz

Marc Foretz is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery, having authored 187 papers that have together received 20.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (129 papers), Pancreatic function and diabetes (91 papers), Adipose Tissue and Metabolism (34 papers), Diabetes Treatment and Management (22 papers), Diet and metabolism studies (15 papers), Diet, Metabolism, and Disease (12 papers), Autophagy in Disease and Therapy (12 papers) and Muscle Physiology and Disorders (10 papers). The work is most often cited by research in Geriatrics and Gerontology (957 citations), Endocrinology, Diabetes and Metabolism (3.7k citations) and Physiology (5.2k citations). Marc Foretz has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Benoı̂t Viollet, Bruno Guigas, Fabrizio Andréelli, Jocelyne Leclerc, Pascal Ferré, Fabienne Foufelle, Luc Bertrand, C Guichard, Kei Sakamoto and Michaël Pollak. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Biochemical Journal, Nature Communications and The FASEB Journal.

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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