Séverine Bégard

3.9k citations
45 papers · 3.1k · h-index 27

Impact in

  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
  • Physiology top 1%
    • Alzheimer's disease research and treatments

Papers in

Séverine Bégard

43 papers receiving 3.0k citations

Peers

Séverine Bégard
Comparison fields: 5 of 103
  • Neurology 634
  • Physiology 1.7k
  • Cellular and Molecular Neuroscience 888
  • Biological Psychiatry 90
  • Developmental Neuroscience 139
Replace Massimiliano Stagi with:
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Katrien Horré Belgium
Gilbert Gallardo United States
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Citations per field
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Citations per year

Countries citing papers authored by Séverine Bégard

Since Specialization
Citations

This map shows the geographic impact of Séverine Bégard'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 Séverine Bégard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Bégard more than expected).

Fields of papers citing papers by Séverine Bégard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Séverine Bégard. 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 Séverine Bégard. The network helps show where Séverine Bégard may publish in the future.

Co-authors

The 25 scholars most cited alongside Séverine Bégard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Séverine Bégard Line = papers co-authored together Séverine Bégard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010337
2 2006329
3 2016238
4 2014202
5 2014182
6 2007171
7 2020166
8 2016109
9 201091
10 200689
11 200385
12 201885
13 200583
14 201873
15 200572
16 200770
17 200666
18 200265
19 201958
20 201951

About Séverine Bégard

Séverine Bégard is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Neurology and Pharmacology, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Neuroscience and Neuropharmacology Research (10 papers), Signaling Pathways in Disease (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Nerve injury and regeneration (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Extracellular vesicles in disease (5 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Neurology (634 citations), Physiology (1.7k citations), Cellular and Molecular Neuroscience (888 citations), Biological Psychiatry (90 citations) and Developmental Neuroscience (139 citations). Séverine Bégard has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Luc Buée, Malika Hamdane, Morvane Colin, Marie‐Christine Galas, Anne Loyens, Nicolas Sergeant, André Delacourte, Alexis Bretteville, Simon Dujardin and Katharina Schindowski. Their work appears in journals such as Journal of Biological Chemistry, Acta Neuropathologica Communications, Molecular Therapy, Alzheimer s & Dementia and Neurobiology of Disease.

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.

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