François Devred
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
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- 14-3-3 protein interactions 10
- Protein Structure and Dynamics 6
- S100 Proteins and Annexins 5
- Photosynthetic Processes and Mechanisms 4
- Cell Biology 22
- Microtubule and mitosis dynamics 19
- Co-authors
- Philipp O. Tsvetkov (34 shared papers)Pascale Barbier (14 shared papers)Vincent Peyrot (19 shared papers)Isabelle Landrieu (3 shared papers)Caroline Smet‐Nocca (2 shared papers)Valérie Belle (1 shared paper)Marlène Martinho (1 shared paper)Alessia Lasorsa (1 shared paper)
In The Last Decade
François Devred
46 papers receiving 1.4k citations
François Devred's Hit Papers
Peers
Comparison fields: 5 of 111
- Cell Biology 366
- Physiology 484
- Neurology 101
- Biological Psychiatry 27
- Molecular Biology 749
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 49 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 | 425 |
| 2 | 2010 | 85 | |
| 3 | 2022 | 62 | |
| 4 | 2004 | 58 | |
| 5 | 2010 | 55 | |
| 6 | 2017 | 54 | |
| 7 | 2019 | 52 | |
| 8 | 2016 | 50 | |
| 9 | 2013 | 45 | |
| 10 | 2001 | 34 | |
| 11 | 2018 | 34 | |
| 12 | 2016 | 30 | |
| 13 | 2002 | 27 | |
| 14 | 2008 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2013 | 23 | |
| 19 | 2002 | 22 | |
| 20 | 2002 | 19 |
About François Devred
François Devred is a scholar working on Molecular Biology, Cell Biology, Physiology, Oncology and Physical and Theoretical Chemistry, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (19 papers), 14-3-3 protein interactions (10 papers), Alzheimer's disease research and treatments (10 papers), thermodynamics and calorimetric analyses (7 papers), Protein Structure and Dynamics (6 papers), Trace Elements in Health (6 papers), S100 Proteins and Annexins (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Cell Biology (366 citations), Physiology (484 citations), Neurology (101 citations), Biological Psychiatry (27 citations) and Molecular Biology (749 citations). François Devred has collaborated with scholars based in France, Russia and Spain. Frequent co-authors include Philipp O. Tsvetkov, Pascale Barbier, Vincent Peyrot, Isabelle Landrieu, Caroline Smet‐Nocca, Valérie Belle, Marlène Martinho, Alessia Lasorsa, Orgeta Zejneli and Gilles Breuzard. Their work appears in journals such as International Journal of Molecular Sciences, Biochemistry, PLoS ONE, International Journal of Biological Macromolecules and Cancers.
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.