François Devred
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
- Cell Biology 18
- Microtubule and mitosis dynamics 17
- Physiology 13
- Alzheimer's disease research and treatments 13
- Co-authors
- Philipp O. Tsvetkov (35 shared papers)Pascale Barbier (15 shared papers)Vincent Peyrot (19 shared papers)Isabelle Landrieu (3 shared papers)Caroline Smet‐Nocca (2 shared papers)Marlène Martinho (1 shared paper)Orgeta Zejneli (1 shared paper)Alessia Lasorsa (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)Biochemistry (3 papers)Cancers (3 papers)Biomolecules (2 papers)FEBS Letters (2 papers)
- Partner nations
- FranceRussiaUnited Kingdom
In The Last Decade
François Devred
49 papers receiving 1.5k citations
François Devred's Hit Papers
Peers
Comparison fields: 5 of 89
- Physiology 607
- Cell Biology 298
- Neurology 56
- Neurology 78
- Genetics 48
Countries citing papers authored by François Devred
This map shows the geographic impact of François Devred'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 François Devred with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Devred more than expected).
Fields of papers citing papers by François Devred
This network shows the impact of papers produced by François Devred. 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 François Devred. The network helps show where François Devred may publish in the future.
Co-authors
The 25 scholars most cited alongside François Devred, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of Tau as a Microtubule-Associated Protein: Structural and Functional Aspects Hit paper breakdown → | 2019 | 463 |
| 2 | 2010 | 89 | |
| 3 | 2022 | 77 | |
| 4 | 2004 | 60 | |
| 5 | 2010 | 58 | |
| 6 | 2017 | 55 | |
| 7 | 2019 | 54 | |
| 8 | 2016 | 53 | |
| 9 | 2013 | 49 | |
| 10 | 2001 | 39 | |
| 11 | 2018 | 37 | |
| 12 | 2016 | 32 | |
| 13 | 2002 | 28 | |
| 14 | 2008 | 26 | |
| 15 | 2018 | 26 | |
| 16 | 2011 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2013 | 23 | |
| 19 | 2002 | 22 | |
| 20 | 2002 | 20 |
About François Devred
François Devred is a scholar working on Cell Biology, Physiology, Genetics, Molecular Biology and Physical and Theoretical Chemistry, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (17 papers), Alzheimer's disease research and treatments (13 papers), S100 Proteins and Annexins (6 papers), Protein Structure and Dynamics (5 papers), Glioma Diagnosis and Treatment (4 papers), Redox biology and oxidative stress (4 papers), thermodynamics and calorimetric analyses (4 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Physiology (607 citations), Cell Biology (298 citations), Neurology (56 citations), Neurology (78 citations) and Genetics (48 citations). François Devred has collaborated with scholars based in France, Russia and United Kingdom. Frequent co-authors include Philipp O. Tsvetkov, Pascale Barbier, Vincent Peyrot, Isabelle Landrieu, Caroline Smet‐Nocca, Marlène Martinho, Orgeta Zejneli, Alessia Lasorsa, Valérie Belle and Gilles Breuzard. Their work appears in journals such as International Journal of Molecular Sciences, Biochemistry, Cancers, Biomolecules and FEBS Letters.
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.