Virginie Buggia-Prévot
- Biological Psychiatry top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Physiology top 5%
- Alzheimer's disease research and treatments 14
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- Nuclear Receptors and Signaling 2
- Cell Biology top 10%
- Cellular transport and secretion 5
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- Drug Transport and Resistance Mechanisms 3
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- Prion Diseases and Protein Misfolding 2
- Lipid Membrane Structure and Behavior 2
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- Cholinesterase and Neurodegenerative Diseases 2
- Co-authors
- Gopal ThinakaranRobert VassarFrédéric CheclerDaniel A. NicholsonPatty C. KandalepasKatherine R. SadleirKulandaivelu S. VetrivelSteffen Roßner
- Journals
- Journal of Biological Chemistry (4 papers)Molecular Neurodegeneration (3 papers)Brain Pathology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Virginie Buggia-Prévot
19 papers receiving 997 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 68
- Neurology 217
- Physiology 660
- Cellular and Molecular Neuroscience 244
- Cell Biology 158
Countries citing papers authored by Virginie Buggia-Prévot
This map shows the geographic impact of Virginie Buggia-Prévot'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 Virginie Buggia-Prévot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginie Buggia-Prévot more than expected).
Fields of papers citing papers by Virginie Buggia-Prévot
This network shows the impact of papers produced by Virginie Buggia-Prévot. 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 Virginie Buggia-Prévot. The network helps show where Virginie Buggia-Prévot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Virginie Buggia-Prévot, 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 | 2021 | 50 | |
| 2 | 2021 | 16 | |
| 3 | 2020 | 10 | |
| 4 | 2020 | 26 | |
| 5 | 2018 | 21 | |
| 6 | 2017 | 13 | |
| 7 | 2017 | 57 | |
| 8 | 2016 | 87 | |
| 9 | 2016 | 196 | |
| 10 | 2015 | 10 | |
| 11 | 2015 | 18 | |
| 12 | 2015 | 4 | |
| 13 | 2014 | 159 | |
| 14 | 2013 | 60 | |
| 15 | 2013 | 38 | |
| 16 | 2013 | 9 | |
| 17 | 2012 | 100 | |
| 18 | 2009 | 22 | |
| 19 | 2008 | 107 |
About Virginie Buggia-Prévot
Virginie Buggia-Prévot is a scholar working on Physiology, Neurology, Cell Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Cellular transport and secretion (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Prion Diseases and Protein Misfolding (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Neurology (217 citations), Physiology (660 citations), Cellular and Molecular Neuroscience (244 citations) and Cell Biology (158 citations). Virginie Buggia-Prévot has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Gopal Thinakaran, Robert Vassar, Frédéric Checler, Daniel A. Nicholson, Patty C. Kandalepas, Katherine R. Sadleir, Kulandaivelu S. Vetrivel, Steffen Roßner, Jean Sévalle and Celia Fernandez. Their work appears in journals such as Journal of Biological Chemistry, Molecular Neurodegeneration, Brain Pathology, Pain and Progress in Neurobiology.
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.