Mathieu Charvériat

585 citations
31 papers · 471 · h-index 15

Impact in

Papers in

Mathieu Charvériat

30 papers receiving 457 citations

Peers

Mathieu Charvériat
Comparison fields: 5 of 65
  • Biological Psychiatry 27
  • Neurology 56
  • Endocrine and Autonomic Systems 44
  • Cellular and Molecular Neuroscience 115
  • Developmental Neuroscience 20
Replace Victòria Valls-Comamala with:
Victòria Valls-Comamala Spain
Emanuele Brai Switzerland
Fabian C. Roth Germany
Emmanouela Kallergi Greece
Rana Eser United States
Jea Kwon South Korea
Damien Carrel France
Miho Matsumata Japan
Kamil Pérez‐Capote Spain
Fernando Leonardi‐Essmann Germany
Mathieu Charvériat relative to Victòria Valls-Comamala Spain Victòria Valls-Comamala's profile →
Citations per field
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Victòria Valls-Comamala · 1×
Citations per year

Countries citing papers authored by Mathieu Charvériat

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Charvériat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 201651
3 201750
4 201231
5 201628
6 202021
7 201921
8 201920
9 202019
10 202119
11 201817
12 202017
13 201916
14 202016
15 201814
16 200911
17 20209
18 20238
19 20228
20 20226

About Mathieu Charvériat

Mathieu Charvériat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cognitive Neuroscience and Neurology, having authored 31 papers that have together received 471 indexed citations. Recurring topics across this work include Connexins and lens biology (12 papers), Neuroscience and Neuropharmacology Research (8 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Functional Brain Connectivity Studies (4 papers), Alzheimer's disease research and treatments (3 papers), Sleep and Wakefulness Research (3 papers), Ion channel regulation and function (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Neurology (56 citations), Endocrine and Autonomic Systems (44 citations), Cellular and Molecular Neuroscience (115 citations) and Developmental Neuroscience (20 citations). Mathieu Charvériat has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Franck Mouthon, Christian Giaume, Pascal Ezan, Luc Zimmer, Juan C. Sáez, Luc Leybaert, Christian Giaume, Christian C. Naus, M. Hamon and Benjamin Vidal. Their work appears in journals such as Frontiers in Neuroscience, Neuropharmacology, Assay and Drug Development Technologies, SLAS DISCOVERY and Frontiers in Cellular 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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