Anne‐Laure Dubessy
- Developmental Neuroscience top 2%
- Neurology top 10%
- Molecular Biology
- Pathology and Forensic Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Catherine LubetzkiLuce DauphinotJeffrey K. HuangStéphane Melik ParsadaniantzMarie‐Claude PotierSarah MoyonChristophe KerninonRobin J.M. Franklin
- Topics
- Multiple Sclerosis Research Studies (7 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Anne‐Laure Dubessy
17 papers receiving 417 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 183
- Neurology 131
- Molecular Biology 105
- Pathology and Forensic Medicine 99
- Cellular and Molecular Neuroscience 67
Countries citing papers authored by Anne‐Laure Dubessy
This map shows the geographic impact of Anne‐Laure Dubessy'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 Anne‐Laure Dubessy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Laure Dubessy more than expected).
Fields of papers citing papers by Anne‐Laure Dubessy
This network shows the impact of papers produced by Anne‐Laure Dubessy. 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 Anne‐Laure Dubessy. The network helps show where Anne‐Laure Dubessy may publish in the future.
Co-authorship network of co-authors of Anne‐Laure Dubessy
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Laure Dubessy. A scholar is included among the top collaborators of Anne‐Laure Dubessy 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 Anne‐Laure Dubessy. Anne‐Laure Dubessy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 31 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 39 | |
| 14 | 212 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 7 |
About Anne‐Laure Dubessy
Anne‐Laure Dubessy is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 17 papers that have together received 419 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (183 citations), Neurology (131 citations) and Pathology and Forensic Medicine (99 citations). Anne‐Laure Dubessy has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Catherine Lubetzki, Luce Dauphinot, Jeffrey K. Huang, Stéphane Melik Parsadaniantz, Marie‐Claude Potier, Sarah Moyon, Christophe Kerninon, Robin J.M. Franklin, Matthew Trotter and Isabelle Arnulf. Their work appears in journals such as Journal of Neuroscience, Neurology and Journal of Neurology Neurosurgery & Psychiatry.
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.