Victor Mathis

698 citations
15 papers · 442 · h-index 11

Impact in

Papers in

Victor Mathis

13 papers receiving 439 citations

Peers

Victor Mathis
Comparison fields: 5 of 58
  • Behavioral Neuroscience 46
  • Cellular and Molecular Neuroscience 240
  • Biological Psychiatry 19
  • Cognitive Neuroscience 144
  • Physiology 153
Replace Elizabeth M. Avegno with:
Elizabeth M. Avegno United States
Christelle Glangetas France
Melanie M. Pina United States
Jessica R. Tooley United States
Daniel F. Manvich United States
Ninglei Sun Canada
Justin N. Siemian United States
Timothy J. Bussey Canada
Sweta Adhikary United States
Harold L. Haun United States
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Citations per field
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Citations per year

Countries citing papers authored by Victor Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Victor Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018166
2 201849
3 201640
4 201538
5 202337
6 202126
7 202023
8 202219
9 201715
10 201713
11 202311
12 20233
13 20252
14 20250
15 20260

About Victor Mathis

Victor Mathis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Endocrine and Autonomic Systems, having authored 15 papers that have together received 442 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroendocrine regulation and behavior (4 papers), Memory and Neural Mechanisms (4 papers), Receptor Mechanisms and Signaling (3 papers), Pain Mechanisms and Treatments (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Behavioral Neuroscience (46 citations), Cellular and Molecular Neuroscience (240 citations), Biological Psychiatry (19 citations), Cognitive Neuroscience (144 citations) and Physiology (153 citations). Victor Mathis has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Paul J. Kenny, Lucas Lecourtier, Pierre Veinante, İpek Yalçın, Jean‐Christophe Cassel, Clémentine Fillinger, Sylvain Hugel, Xu‐Hui Li, Andreas Lüthi and Pierre-Éric Lutz. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Frontiers in Behavioral Neuroscience, Biological Psychiatry, Pharmacology Biochemistry and Behavior and Behavioural Brain Research.

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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