Frédéric Saudou
- Cellular and Molecular Neuroscience top 0.05%
- Genetic Neurodegenerative Diseases 69
- Neuroscience and Neuropharmacology Research 16
- Neurotransmitter Receptor Influence on Behavior 6
- Neurology top 0.2%
- Neurological disorders and treatments 15
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 50
- Muscle Physiology and Disorders 18
- Ubiquitin and proteasome pathways 10
- Aging top 1%
- Cell Biology top 0.5%
- Cellular transport and secretion 6
- Co-authors
- Sandrine HumbertDidier DevysMichael E. GreenbergSteven FinkbeinerFabrice P. CordelièresDiana ZalaRené HenBénédicte C. Charrin
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Frédéric Saudou
101 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cellular and Molecular Neuroscience 9.4k
- Neurology 2.7k
- Molecular Biology 9.5k
- Aging 183
- Cell Biology 1.6k
Countries citing papers authored by Frédéric Saudou
This map shows the geographic impact of Frédéric Saudou'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 Frédéric Saudou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Saudou more than expected).
Fields of papers citing papers by Frédéric Saudou
This network shows the impact of papers produced by Frédéric Saudou. 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 Frédéric Saudou. The network helps show where Frédéric Saudou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Saudou, 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 | 2023 | 8 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 52 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 44 | |
| 13 | 2014 | 45 | |
| 14 | 2013 | 37 | |
| 15 | 2008 | 126 | |
| 16 | 2003 | 108 | |
| 17 | 2002 | 412 | |
| 18 | 2002 | 11 | |
| 19 | 1995 | 150 | |
| 20 | 1994 | 66 |
About Frédéric Saudou
Frédéric Saudou is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Developmental Neuroscience and Cell Biology, having authored 104 papers that have together received 13.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (69 papers), Mitochondrial Function and Pathology (50 papers), Muscle Physiology and Disorders (18 papers), Neuroscience and Neuropharmacology Research (16 papers), Neurological disorders and treatments (15 papers), Ubiquitin and proteasome pathways (10 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.4k citations), Neurology (2.7k citations), Molecular Biology (9.5k citations), Aging (183 citations) and Cell Biology (1.6k citations). Frédéric Saudou has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Sandrine Humbert, Didier Devys, Michael E. Greenberg, Steven Finkbeiner, Fabrice P. Cordelières, Diana Zala, René Hen, Bénédicte C. Charrin, Jim Dompierre and Hélène Rangone. Their work appears in journals such as Journal of Neuroscience, Neuron, Nature Communications, Cell Reports and Science Advances.
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.