Arnaud Chevrollier
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
- Neurology top 5%
- Neurological diseases and metabolism
Papers in
-
- Metabolism and Genetic Disorders 18
-
- Mitochondrial Function and Pathology 55
- ATP Synthase and ATPases Research 33
- Co-authors
- Pascal ReynierVincent ProcaccioDominique BonneauDominique LoiseauPatrizia Amati‐BonneauNaïg GuéguenGeorges StepienMarc Ferré
- Journals
- Brain (5 papers)Mitochondrion (4 papers)Annals of Neurology (4 papers)The International Journal of Biochemistry & Cell Biology (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (3 papers)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Arnaud Chevrollier
70 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 115
- Clinical Biochemistry 526
- Neurology 260
- Molecular Biology 2.0k
- Cellular and Molecular Neuroscience 506
- Aging 33
Countries citing papers authored by Arnaud Chevrollier
This map shows the geographic impact of Arnaud Chevrollier'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 Arnaud Chevrollier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Chevrollier more than expected).
Fields of papers citing papers by Arnaud Chevrollier
This network shows the impact of papers produced by Arnaud Chevrollier. 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 Arnaud Chevrollier. The network helps show where Arnaud Chevrollier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arnaud Chevrollier, 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 28 | |
| 7 | 2016 | 45 | |
| 8 | 2015 | 43 | |
| 9 | 2014 | 56 | |
| 10 | 2010 | 146 | |
| 11 | 2010 | 7 | |
| 12 | 2009 | 38 | |
| 13 | 2009 | 13 | |
| 14 | 2009 | 29 | |
| 15 | 2009 | 21 | |
| 16 | 2008 | 94 | |
| 17 | 2007 | 123 | |
| 18 | 2006 | 14 | |
| 19 | 2005 | 120 | |
| 20 | 2004 | 42 |
About Arnaud Chevrollier
Arnaud Chevrollier is a scholar working on Clinical Biochemistry, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Geriatrics and Gerontology, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (55 papers), ATP Synthase and ATPases Research (33 papers), Metabolism and Genetic Disorders (18 papers), Genetic Neurodegenerative Diseases (15 papers), Hereditary Neurological Disorders (12 papers), Cancer, Hypoxia, and Metabolism (6 papers), Neurological diseases and metabolism (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Clinical Biochemistry (526 citations), Neurology (260 citations), Molecular Biology (2.0k citations), Cellular and Molecular Neuroscience (506 citations) and Aging (33 citations). Arnaud Chevrollier has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Pascal Reynier, Vincent Procaccio, Dominique Bonneau, Dominique Loiseau, Patrizia Amati‐Bonneau, Naïg Guéguen, Georges Stepien, Marc Ferré, Julien Cassereau and Guy Lenaers. Their work appears in journals such as Brain, Mitochondrion, Annals of Neurology, The International Journal of Biochemistry & Cell Biology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.