Grégory Gauvain

766 citations
11 papers · 423 · h-index 9

Impact in

    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms

Papers in

Grégory Gauvain

10 papers receiving 421 citations

Peers

Grégory Gauvain
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 274
  • Cognitive Neuroscience 138
  • Sensory Systems 27
  • Developmental Neuroscience 17
  • Neurology 30
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Citations per field
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Citations per year

Countries citing papers authored by Grégory Gauvain

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Gauvain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016128
2 201197
3 202349
4 200946
5 201534
6 201223
7 202118
8 202113
9 202113
10
Optogenetic visual restoration using ChrimsonR: Validation in degenerative rodent models, rd1 and P23H.
20162
11 20240

About Grégory Gauvain

Grégory Gauvain is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Ophthalmology, having authored 11 papers that have together received 423 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (8 papers), Neuroscience and Neural Engineering (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (4 papers), Neural dynamics and brain function (3 papers), Ion channel regulation and function (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (274 citations), Cognitive Neuroscience (138 citations), Sensory Systems (27 citations), Developmental Neuroscience (17 citations) and Neurology (30 citations). Grégory Gauvain has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Gabe J. Murphy, Benjamin Sivyer, Jean Christophe Poncer, Carolina Cabezas, Théano Irinopoulou, Ingrid Chamma, Natalia Bodrug, Michèle Carnaud, Sabine Lévi and Quentin Chevy. Their work appears in journals such as Journal of Neuroscience, Molecular Therapy — Methods & Clinical Development, Human Mutation, Scientific Reports and Journal of Neurophysiology.

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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