Patrick Vourc’h

7.8k citations
158 papers · 3.9k indexed · h-index 34

Patrick Vourc’h

154 papers receiving 3.8k citations

Peers

Patrick Vourc’h
Comparison fields: 5 of 130
  • Neurology 1.4k
  • Genetics 875
  • Developmental Neuroscience 269
  • Biological Psychiatry 154
  • Neurology 361
Replace Noriyuki Matsukawa with:
Noriyuki Matsukawa Japan
Anna‐Leena Sirén Germany
Joe E. Springer United States
Angelo Poletti Italy
Yves Robitaille Canada
Lars Tönges Germany
Jean‐Jacques Hauw France
Takehiko Yanagihara Japan
Paul Lingor Germany
Bruce A. Citron United States
Patrick Vourc’h relative to Noriyuki Matsukawa Japan Noriyuki Matsukawa's profile →
Citations per field
00.5×1.5×2.3×
Noriyuki Matsukawa · 1×
Citations per year

Countries citing papers authored by Patrick Vourc’h

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Vourc’h

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Vourc’h. 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 Patrick Vourc’h. The network helps show where Patrick Vourc’h may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20245
3 20241
4 20240
5 20241
6 20243
7 202312
8 20237
9 20233
10 20231
11 202210
12 202211
13 202113
14 201912
15 201724
16 201518
17 201538
18 201422
19 201128
20 201026

About Patrick Vourc’h

Patrick Vourc’h is a scholar working on Neurology, Genetics and Neurology, having authored 158 papers that have together received 3.9k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (87 papers), Neurogenetic and Muscular Disorders Research (52 papers), Neurological diseases and metabolism (26 papers), Parkinson's Disease Mechanisms and Treatments (18 papers), Genetics and Neurodevelopmental Disorders (15 papers), Autism Spectrum Disorder Research (12 papers), Nerve injury and regeneration (10 papers) and Prion Diseases and Protein Misfolding (10 papers). The work is most often cited by research in Neurology (1.4k citations), Genetics (875 citations) and Developmental Neuroscience (269 citations). Patrick Vourc’h has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christian Andrés, Hélène Blasco, Philippe Corcia, Franck Patin, Charlotte Veyrat‐Durebex, Patrick Emond, Denis Guilloteau, Sylvie Chalon, Lydie Nadal‐Desbarats and Jean‐Michel Halimi. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Molecular Neurobiology, European Journal of Neurology, International Journal of Molecular Sciences and Journal of the Neurological Sciences.

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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