Nicolas Brouilly
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Muscle Physiology and Disorders 5
- Mitochondrial Function and Pathology 4
- Co-authors
- Lydie Crescence (4 shared papers)Estelle Carminita (3 shared papers)Christophe Dubois (3 shared papers)Laurence Panicot‐Dubois (4 shared papers)Marino Zerial (2 shared papers)Yannis Kalaidzidis (2 shared papers)Marc Bajénoff (2 shared papers)Isabelle Mondor (2 shared papers)
- Journals
- Nature Communications (2 papers)Science Advances (2 papers)Life Science Alliance (2 papers)Human Molecular Genetics (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Nicolas Brouilly
22 papers receiving 682 citations
Peers
Comparison fields: 5 of 93
- Aging 68
- Cell Biology 146
- Immunology 143
- Physiology 30
- Molecular Biology 379
Countries citing papers authored by Nicolas Brouilly
This map shows the geographic impact of Nicolas Brouilly'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 Nicolas Brouilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Brouilly more than expected).
Fields of papers citing papers by Nicolas Brouilly
This network shows the impact of papers produced by Nicolas Brouilly. 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 Nicolas Brouilly. The network helps show where Nicolas Brouilly may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Brouilly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2016 | 104 | |
| 3 | 2020 | 66 | |
| 4 | 2020 | 55 | |
| 5 | 2021 | 54 | |
| 6 | 2021 | 49 | |
| 7 | 2019 | 39 | |
| 8 | 2015 | 35 | |
| 9 | 2013 | 34 | |
| 10 | 2018 | 28 | |
| 11 | 2018 | 24 | |
| 12 | 2013 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2023 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Nicolas Brouilly
Nicolas Brouilly is a scholar working on Molecular Biology, Cell Biology, Aging, Immunology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 686 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Muscle Physiology and Disorders (5 papers), Mitochondrial Function and Pathology (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Marine Invertebrate Physiology and Ecology (2 papers), Circadian rhythm and melatonin (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Aging (68 citations), Cell Biology (146 citations), Immunology (143 citations), Physiology (30 citations) and Molecular Biology (379 citations). Nicolas Brouilly has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Lydie Crescence, Estelle Carminita, Christophe Dubois, Laurence Panicot‐Dubois, Marino Zerial, Yannis Kalaidzidis, Marc Bajénoff, Isabelle Mondor, Françoise Dignat‐George and Stéphane Robert. Their work appears in journals such as Nature Communications, Science Advances, Life Science Alliance, Human Molecular Genetics and The Journal of Cell Biology.
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.