Benoı̂t Viollet

54.3k citations
344 papers · 42.4k indexed · 15 hit papers · h-index 98

Benoı̂t Viollet

339 papers receiving 42.0k citations

Hit Papers

Metformin: ...360200720262013201910002.0k3.0k4.0k5.0k

Peers

Benoı̂t Viollet
Comparison fields: 5 of 163
  • Geriatrics and Gerontology 2.3k
  • Physiology 2.2k
  • Molecular Biology 27.2k
  • Aging 669
  • Physiology 9.5k
Replace David Carling with:
David Carling United Kingdom
Kristina Schoonjans Switzerland
Reuben J. Shaw United States
Bruce E. Kemp Australia
Morris J. Birnbaum United States
Christopher B. Newgard United States
Junichi Sadoshima United States
Pere Puigserver United States
Laurie J. Goodyear United States
Jerrold M. Olefsky United States
Benoı̂t Viollet relative to David Carling United Kingdom David Carling's profile →
Citations per field
00.5×1.5×1.9×
David Carling · 1×
Citations per year

Countries citing papers authored by Benoı̂t Viollet

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Viollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20235
4 20235
5 201864
6 20186
7 2017176
8 201795
9 201686
10 201610
11 201629
12 201522
13 201424
14 201457
15 2013104
16 2012288
17 201222
18 2010290
19
Phosphorylation of ULK1 (hATG1) by AMP-Activated Protein Kinase Connects Energy Sensing to Mitophagybreakdown →
20102048
20
Systemic Treatment with the Antidiabetic Drug Metformin Selectively Impairs p53-Deficient Tumor Cell Growthbreakdown →
2007756

About Benoı̂t Viollet

Benoı̂t Viollet is a scholar working on Physiology, Molecular Biology and Surgery, having authored 344 papers that have together received 42.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (253 papers), Pancreatic function and diabetes (161 papers), Adipose Tissue and Metabolism (57 papers), Autophagy in Disease and Therapy (37 papers), Diabetes Treatment and Management (33 papers), Cancer, Hypoxia, and Metabolism (32 papers), PI3K/AKT/mTOR signaling in cancer (21 papers) and Diet and metabolism studies (17 papers). The work is most often cited by research in Geriatrics and Gerontology (2.3k citations), Physiology (2.2k citations) and Molecular Biology (27.2k citations). Benoı̂t Viollet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marc Foretz, Mondira Kundu, Kun‐Liang Guan, Joungmok Kim, Bruno Guigas, Fabrizio Andréelli, Jocelyne Leclerc, Luc Bertrand, Kei Sakamoto and Jørgen F. P. Wojtaszewski. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, PLoS ONE, Cell Metabolism 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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