Benoı̂t Viollet
- Geriatrics and Gerontology top 0.05%
- Physiology top 0.05%
- Adipose Tissue and Metabolism 57
- Diet and metabolism studies 17
- Molecular Biology top 0.05%
- Metabolism, Diabetes, and Cancer 253
- PI3K/AKT/mTOR signaling in cancer 21
- Aging top 0.2%
- Physiology top 0.05%
- Adipose Tissue and Metabolism 57
- Diet and metabolism studies 17
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- Pancreatic function and diabetes 161
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- Autophagy in Disease and Therapy 37
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- Diabetes Treatment and Management 33
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- Cancer, Hypoxia, and Metabolism 32
- Co-authors
- Marc ForetzMondira KunduKun‐Liang GuanJoungmok KimBruno GuigasFabrizio AndréelliJocelyne LeclercLuc Bertrand
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Benoı̂t Viollet
339 papers receiving 42.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Geriatrics and Gerontology 2.3k
- Physiology 2.2k
- Molecular Biology 27.2k
- Aging 669
- Physiology 9.5k
Countries citing papers authored by Benoı̂t Viollet
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2018 | 64 | |
| 6 | 2018 | 6 | |
| 7 | 2017 | 176 | |
| 8 | 2017 | 95 | |
| 9 | 2016 | 86 | |
| 10 | 2016 | 10 | |
| 11 | 2016 | 29 | |
| 12 | 2015 | 22 | |
| 13 | 2014 | 24 | |
| 14 | 2014 | 57 | |
| 15 | 2013 | 104 | |
| 16 | 2012 | 288 | |
| 17 | 2012 | 22 | |
| 18 | 2010 | 290 | |
| 19 | Phosphorylation of ULK1 (hATG1) by AMP-Activated Protein Kinase Connects Energy Sensing to Mitophagybreakdown → | 2010 | 2048 |
| 20 | Systemic Treatment with the Antidiabetic Drug Metformin Selectively Impairs p53-Deficient Tumor Cell Growthbreakdown → | 2007 | 756 |
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.