C. Gauchy

2.2k citations
53 papers · 1.9k · h-index 25

Impact in

    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior
    • Neuropeptides and Animal Physiology
  • Neurology top 5%
    • Neurological disorders and treatments

Papers in

C. Gauchy

53 papers receiving 1.9k citations

Peers

C. Gauchy
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 1.6k
  • Neurology 331
  • Developmental Neuroscience 76
  • Biological Psychiatry 40
  • Cognitive Neuroscience 266
Replace JB Penney with:
JB Penney United States
Randal S. Revay United States
M. Desban France
Martin J. Croucher United Kingdom
Zane Hollingsworth United States
M. Teresa Vilaró Spain
Gonzalo Bustos Chile
Geraint Price United Kingdom
M.L. Kemel France
Elizabeth O’Hearn United States
C. Gauchy relative to JB Penney United States JB Penney's profile →
Citations per field
00.5×3.8×
JB Penney · 1×
Citations per year

Countries citing papers authored by C. Gauchy

Since Specialization
Citations

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

Fields of papers citing papers by C. Gauchy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991299
2 1991110
3 1993100
4 200592
5 198982
6 197679
7 200672
8 197371
9 198970
10 199268
11 198960
12 199453
13 198851
14 197344
15 197941
16 199338
17 199338
18 199137
19 197336
20 198036

About C. Gauchy

C. Gauchy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cognitive Neuroscience and Physiology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (39 papers), Neurotransmitter Receptor Influence on Behavior (35 papers), Receptor Mechanisms and Signaling (14 papers), Neurological disorders and treatments (8 papers), Neuropeptides and Animal Physiology (6 papers), Memory and Neural Mechanisms (5 papers), Metabolism and Genetic Disorders (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Neurology (331 citations), Developmental Neuroscience (76 citations), Biological Psychiatry (40 citations) and Cognitive Neuroscience (266 citations). C. Gauchy has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include J. Głowiński, M.L. Kemel, M. Desban, A. Chéramy, Marie‐Odile Krebs, Marie‐Jo Besson, J.M. Desce, G. Godeheu, Jacques Glowinski and Joël Prémont. Their work appears in journals such as Brain Research, Neuroscience, Journal of Neurochemistry, European Journal of Pharmacology and Journal of Neuroscience.

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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