Didier Devys
- Cellular and Molecular Neuroscience top 0.2%
- Genetic Neurodegenerative Diseases 18
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 22
- RNA Research and Splicing 16
- Mitochondrial Function and Pathology 14
- Ubiquitin and proteasome pathways 11
- Epigenetics and DNA Methylation 7
- Genetics top 0.5%
- Genetics and Neurodevelopmental Disorders 13
- Neurology top 0.5%
- Neurological disorders and treatments 7
- Cognitive Neuroscience top 2%
- Co-authors
- Frédéric SaudouJean‐Louis MandelMichael E. GreenbergSteven FinkbeinerLàszlò ToraYvon TrottierYves LutzDominique Heitz
- Journals
- Molecular Cell (5 papers)Human Molecular Genetics (4 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Didier Devys
60 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 3.7k
- Molecular Biology 7.0k
- Genetics 2.7k
- Neurology 1.3k
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Didier Devys
This map shows the geographic impact of Didier Devys'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 Didier Devys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Devys more than expected).
Fields of papers citing papers by Didier Devys
This network shows the impact of papers produced by Didier Devys. 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 Didier Devys. The network helps show where Didier Devys may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Didier Devys, 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 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2014 | 26 | |
| 8 | 2012 | 21 | |
| 9 | 2011 | 43 | |
| 10 | 2010 | 38 | |
| 11 | 2008 | 290 | |
| 12 | 2006 | 53 | |
| 13 | 2004 | 30 | |
| 14 | 2004 | 25 | |
| 15 | 1996 | 149 | |
| 16 | 1995 | 114 | |
| 17 | 1993 | 9 | |
| 18 | The FMR–1 protein is cytoplasmic, most abundant in neurons and appears normal in carriers of a fragile X premutationbreakdown → | 1993 | 606 |
| 19 | 1992 | 6 | |
| 20 | 1992 | 139 |
About Didier Devys
Didier Devys is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Genetics and Cognitive Neuroscience, having authored 60 papers that have together received 8.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (22 papers), Genetic Neurodegenerative Diseases (18 papers), RNA Research and Splicing (16 papers), Mitochondrial Function and Pathology (14 papers), Genetics and Neurodevelopmental Disorders (13 papers), Ubiquitin and proteasome pathways (11 papers), Epigenetics and DNA Methylation (7 papers) and Neurological disorders and treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.7k citations), Molecular Biology (7.0k citations), Genetics (2.7k citations), Neurology (1.3k citations) and Cognitive Neuroscience (1.2k citations). Didier Devys has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Frédéric Saudou, Jean‐Louis Mandel, Michael E. Greenberg, Steven Finkbeiner, Làszlò Tora, Yvon Trottier, Yves Lutz, Dominique Heitz, C. R. Weber and I. Oberlé. Their work appears in journals such as Molecular Cell, Human Molecular Genetics, Journal of Biological Chemistry, Nature Genetics and Cell.
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.