Benoît Aubé

805 citations
10 papers · 630 · h-index 9

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Parkinson's Disease Mechanisms and Treatments 3
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Neurological disorders and treatments 2
    • Genetic Neurodegenerative Diseases 2

Benoît Aubé

10 papers receiving 625 citations

Peers

Benoît Aubé
Comparison fields: 5 of 93
  • Neurology 138
  • Biophysics 73
  • Neurology 157
  • Biological Psychiatry 20
  • Cellular and Molecular Neuroscience 145
Replace Alessia Franceschini with:
Alessia Franceschini Italy
Linda Judák Hungary
Yang Sui Japan
Jan Leo Rinnenthal Germany
Bruno Sergi Italy
Jianjun Lu China
Kate M. Brody Australia
Alexander D. Fellows United Kingdom
Caroline Bevona United States
Benoît Aubé relative to Alessia Franceschini Italy Alessia Franceschini's profile →
Citations per field
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Alessia Franceschini · 1×
Citations per year

Countries citing papers authored by Benoît Aubé

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Aubé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Aubé, 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 Benoît Aubé Line = papers co-authored together Benoît Aubé links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014190
2 2016133
3 2016100
4 201155
5 201545
6 201544
7 202023
8 201321
9 201915
10 20154

About Benoît Aubé

Benoît Aubé is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Biophysics and Molecular Biology, having authored 10 papers that have together received 630 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Cell Image Analysis Techniques (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Neurological disorders and treatments (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Restless Legs Syndrome Research (1 paper). The work is most often cited by research in Neurology (138 citations), Biophysics (73 citations), Neurology (157 citations), Biological Psychiatry (20 citations) and Cellular and Molecular Neuroscience (145 citations). Benoît Aubé has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Denis Soulet, A Poirier, Daniel Côté, Mélissa Côté, Steve Lacroix, Thérèse Di Paolo, Nicolas Morin, Yves De Koninck, Sébastien A. Lévesque and Jorge I. Alvarez. Their work appears in journals such as Biomedical Optics Express, Scientific Reports, Brain Behavior and Immunity, The Journal of Immunology and Parkinson s 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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