Yann Péréon

8.2k citations
147 papers · 2.7k indexed · h-index 31

Impact in

Papers in

Yann Péréon

138 papers receiving 2.7k citations

Peers

Yann Péréon
Comparison fields: 5 of 131
  • Neurology 544
  • Cellular and Molecular Neuroscience 555
  • Neurology 206
  • Cardiology and Cardiovascular Medicine 461
  • Molecular Biology 1.3k
Replace Sameer B. Shah with:
Sameer B. Shah United States
Christopher B. Shields United States
Giovanni Frisullo Italy
Ron Dabby Israel
Jack H. Petajan United States
Alain Bouthillier Canada
W. Trojaborg Denmark
Makiko Ōsawa Japan
Giuseppe Vita Italy
D A Ingram United Kingdom
Yann Péréon relative to Sameer B. Shah United States Sameer B. Shah's profile →
Citations per field
00.5×2.8×
Sameer B. Shah · 1×
Citations per year

Countries citing papers authored by Yann Péréon

Since Specialization
Citations

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

Fields of papers citing papers by Yann Péréon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20241
5 20232
6 20231
7 20231
8 20231
9 20234
10 202131
11 20199
12 20197
13 201933
14 201612
15 20154
16
Gene therapy in Leber congenital amaurosis due to rpe mutations: results of the first six patients included in a clinical trial
20131
17 201130
18
Gene therapeutic prospects in early onset of severe retinal dystrophy: restoration of vision in RPE65 Briard dogs using an AAV serotype 4 vector that specifically targets the retinal pigmented epithelium.
200618
19 200228
20 199869

About Yann Péréon

Yann Péréon is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Genetics and Anesthesiology and Pain Medicine, having authored 147 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (24 papers), Muscle Physiology and Disorders (23 papers), Peripheral Neuropathies and Disorders (20 papers), Ion channel regulation and function (14 papers), Neurogenetic and Muscular Disorders Research (14 papers), Muscle activation and electromyography studies (13 papers), Genetic Neurodegenerative Diseases (12 papers) and Intraoperative Neuromonitoring and Anesthetic Effects (11 papers). The work is most often cited by research in Neurology (544 citations), Cellular and Molecular Neuroscience (555 citations), Neurology (206 citations), Cardiology and Cardiovascular Medicine (461 citations) and Molecular Biology (1.3k citations). Yann Péréon has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Armelle Magot, P Guihéneuc, Sylvie Nguyen The Tich, Sophie Demolombe, G. Fayet, Denis Escande, Jean‐Marc Bernard, Philip Palade, Guylène Le Meur and Fabienne Rolling. Their work appears in journals such as Neuromuscular Disorders, Muscle & Nerve, Neurophysiologie Clinique, Neurology and The Lancet Neurology.

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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