Stéphane Genoud

821 citations
9 papers · 654 · h-index 6

Impact in

Papers in

Stéphane Genoud

9 papers receiving 649 citations

Peers

Stéphane Genoud
Comparison fields: 5 of 72
  • Developmental Neuroscience 336
  • Neurology 136
  • Cellular and Molecular Neuroscience 173
  • Virology 32
  • Cancer Research 87
Replace Ajit Singh Dhaunchak with:
Ajit Singh Dhaunchak Canada
Prithi Rajan United States
Bartosz Bielecki Poland
Peter Göttle Germany
M.A. Kahn United States
Hui-ya Gilbert United States
Kristine D. Baerwald United States
Taito Matsuda Japan
Juliane Bremer Germany
Carine Vuaillat France
Stéphane Genoud relative to Ajit Singh Dhaunchak Canada Ajit Singh Dhaunchak's profile →
Citations per field
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Ajit Singh Dhaunchak · 1×
Citations per year

Countries citing papers authored by Stéphane Genoud

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Genoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2003210
2 2003184
3 2002166
4 199942
5 200529
6 201220
7 20201
8
QUANTIFYING THE EARLYSTAGES OF REMYELINATION FOLLOWING CUPRIZONE-INDUCEDDEMYELINATION
20031
9 20111

About Stéphane Genoud

Stéphane Genoud is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Virology, having authored 9 papers that have together received 654 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (3 papers), Hereditary Neurological Disorders (1 paper), Nerve injury and regeneration (1 paper), Protein Degradation and Inhibitors (1 paper), Alzheimer's disease research and treatments (1 paper), Computational Drug Discovery Methods (1 paper), HIV Research and Treatment (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (336 citations), Neurology (136 citations), Cellular and Molecular Neuroscience (173 citations), Virology (32 citations) and Cancer Research (87 citations). Stéphane Genoud has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Ueli Suter, Ned Mantei, Mark F. Stidworthy, Robin J.M. Franklin, Daniel Metzger, Wendy B. Macklin, Dino P. Leone, Suzana Atanasoski, Philipp Berger and Reinhard Grausenburger. Their work appears in journals such as The Journal of Cell Biology, Journal of Neuroimmunology, Brain Pathology, Alzheimer s & Dementia and Journal of Biological Chemistry.

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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