Clément Danis
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
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- Alzheimer's disease research and treatments
Papers in
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- Protein Structure and Dynamics 3
- Metabolomics and Mass Spectrometry Studies 2
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- Alzheimer's disease research and treatments 7
- Co-authors
- Isabelle Landrieu (11 shared papers)Luc Buée (8 shared papers)Morvane Colin (7 shared papers)Raphaëlle Caillierez (3 shared papers)Anne Michel (1 shared paper)Sébastien Carrier (1 shared paper)Patrick Downey (1 shared paper)Mathieu Schmitt (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Journal of Biomolecular NMR (2 papers)Journal of Visualized Experiments (2 papers)ACS Chemical Neuroscience (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- FranceSwitzerlandPortugal
In The Last Decade
Clément Danis
14 papers receiving 325 citations
Peers
Comparison fields: 5 of 56
- Neurology 69
- Physiology 164
- Cellular and Molecular Neuroscience 76
- Biological Psychiatry 8
- Pharmacology 45
Countries citing papers authored by Clément Danis
This map shows the geographic impact of Clément Danis'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 Clément Danis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément Danis more than expected).
Fields of papers citing papers by Clément Danis
This network shows the impact of papers produced by Clément Danis. 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 Clément Danis. The network helps show where Clément Danis may publish in the future.
Co-authors
The 25 scholars most cited alongside Clément Danis, 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 | 2019 | 127 | |
| 2 | 2022 | 37 | |
| 3 | Three dimensional structure of the seventh transmembrane helical domain of the G-protein receptor, rhodopsin. | 2000 | 33 |
| 4 | 2024 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2016 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2017 | 12 | |
| 10 | 2019 | 8 | |
| 11 | 2016 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 0 |
About Clément Danis
Clément Danis is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cell Biology, having authored 15 papers that have together received 328 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein Structure and Dynamics (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Advanced NMR Techniques and Applications (2 papers), Computational Drug Discovery Methods (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Neurology (69 citations), Physiology (164 citations), Cellular and Molecular Neuroscience (76 citations), Biological Psychiatry (8 citations) and Pharmacology (45 citations). Clément Danis has collaborated with scholars based in France, Switzerland and Portugal. Frequent co-authors include Isabelle Landrieu, Luc Buée, Morvane Colin, Raphaëlle Caillierez, Anne Michel, Sébastien Carrier, Patrick Downey, Mathieu Schmitt, Martin Citron and Georges Mairet‐Coello. Their work appears in journals such as Molecular Therapy, Journal of Biomolecular NMR, Journal of Visualized Experiments, ACS Chemical Neuroscience and Advances in experimental medicine and 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.