Johan Auwerx
Impact in
- Geriatrics and Gerontology top 0.01%
- Sirtuins and Resveratrol in Medicine
- Aging top 0.01%
Papers in
- Aging 43
- Genetics, Aging, and Longevity in Model Organisms 43
-
- Sirtuins and Resveratrol in Medicine 79
- Co-authors
- Kristina SchoonjansBart StaelsCarles CantóRiekelt H. HoutkooperLluís FajasSander M. HoutenMarie LagougeKeir J. Menzies
- Journals
- Cell Metabolism (25 papers)Journal of Biological Chemistry (23 papers)Proceedings of the National Academy of Sciences (16 papers)Cell (14 papers)Scientific Reports (13 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Johan Auwerx
635 papers receiving 94.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Geriatrics and Gerontology 13.5k
- Aging 3.7k
- Physiology 29.9k
- Physiology 4.2k
- Endocrine and Autonomic Systems 5.3k
Countries citing papers authored by Johan Auwerx
This map shows the geographic impact of Johan Auwerx'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 Johan Auwerx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Auwerx more than expected).
Fields of papers citing papers by Johan Auwerx
This network shows the impact of papers produced by Johan Auwerx. 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 Johan Auwerx. The network helps show where Johan Auwerx may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Auwerx, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 38 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 35 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 40 | |
| 10 | 2020 | 32 | |
| 11 | Mitochondrial Deacetylase Sirt3 Reduces Vascular Dysfunction and Hypertension While Sirt3 Depletion in Essential Hypertension Is Linked to Vascular Inflammation and Oxidative Stress Hit paper breakdown → | 2019 | 267 |
| 12 | 2018 | 37 | |
| 13 | 2016 | 283 | |
| 14 | 2016 | 212 | |
| 15 | NAD + repletion improves mitochondrial and stem cell function and enhances life span in mice Hit paper breakdown → | 2016 | 904 |
| 16 | 2012 | 73 | |
| 17 | Interdependence of AMPK and SIRT1 for Metabolic Adaptation to Fasting and Exercise in Skeletal Muscle Hit paper breakdown → | 2010 | 740 |
| 18 | 2007 | 118 | |
| 19 | 2000 | 88 | |
| 20 | 1998 | 285 |
About Johan Auwerx
Johan Auwerx is a scholar working on Aging, Geriatrics and Gerontology, Physiology, Molecular Biology and Biochemistry, having authored 638 papers that have together received 96.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (183 papers), Peroxisome Proliferator-Activated Receptors (165 papers), Sirtuins and Resveratrol in Medicine (79 papers), Mitochondrial Function and Pathology (73 papers), Metabolism, Diabetes, and Cancer (59 papers), Drug Transport and Resistance Mechanisms (53 papers), Cholesterol and Lipid Metabolism (52 papers) and Genetics, Aging, and Longevity in Model Organisms (43 papers). The work is most often cited by research in Geriatrics and Gerontology (13.5k citations), Aging (3.7k citations), Physiology (29.9k citations), Physiology (4.2k citations) and Endocrine and Autonomic Systems (5.3k citations). Johan Auwerx has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Kristina Schoonjans, Bart Staels, Carles Cantó, Riekelt H. Houtkooper, Lluís Fajas, Sander M. Houten, Marie Lagouge, Keir J. Menzies, Jean‐Charles Fruchart and Jérôme N. Feige. Their work appears in journals such as Cell Metabolism, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cell and Scientific Reports.
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.