Évelyne Doudnikoff
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Molecular Biology
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- Erwan BézardBertrand BlochBenjamin DehayAmandine BerthetAnne VitalMarie‐Hélène CanronGrégory PorrasSébastien Lepreux
- Topics
- Parkinson's Disease Mechanisms and Treatments (18 papers)Neuroscience and Neuropharmacology Research (11 papers)Neurological disorders and treatments (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- FranceChinaUnited States
In The Last Decade
Évelyne Doudnikoff
30 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 834
- Neurology 789
- Molecular Biology 520
- Physiology 277
- Epidemiology 257
Countries citing papers authored by Évelyne Doudnikoff
This map shows the geographic impact of Évelyne Doudnikoff'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 Évelyne Doudnikoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Évelyne Doudnikoff more than expected).
Fields of papers citing papers by Évelyne Doudnikoff
This network shows the impact of papers produced by Évelyne Doudnikoff. 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 Évelyne Doudnikoff. The network helps show where Évelyne Doudnikoff may publish in the future.
Co-authorship network of co-authors of Évelyne Doudnikoff
This figure shows the co-authorship network connecting the top 25 collaborators of Évelyne Doudnikoff. A scholar is included among the top collaborators of Évelyne Doudnikoff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Évelyne Doudnikoff. Évelyne Doudnikoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 52 | |
| 5 | 77 | |
| 6 | 40 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 64 | |
| 10 | 43 | |
| 11 | 13 | |
| 12 | 101 | |
| 13 | 25 | |
| 14 | 107 | |
| 15 | 70 | |
| 16 | 4 | |
| 17 | 37 | |
| 18 | 109 | |
| 19 | 29 | |
| 20 | 10 |
About Évelyne Doudnikoff
Évelyne Doudnikoff is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (18 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurological disorders and treatments (9 papers). The work is most often cited by research in Neurology (789 citations), Cellular and Molecular Neuroscience (834 citations) and Neurology (158 citations). Évelyne Doudnikoff has collaborated with scholars based in France, China and United States. Frequent co-authors include Erwan Bézard, Bertrand Bloch, Benjamin Dehay, Amandine Berthet, Anne Vital, Marie‐Hélène Canron, Grégory Porras, Sébastien Lepreux, Christian Combe and Marta Martínez‐Vicente. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.