Maxime Chevée

1.4k citations
15 papers · 754 · h-index 11

Impact in

    • Neuroscience and Neuropharmacology Research
    • Axon Guidance and Neuronal Signaling
    • Neurotransmitter Receptor Influence on Behavior
    • Neurobiology and Insect Physiology Research
    • Neural dynamics and brain function
    • Memory and Neural Mechanisms

Papers in

Maxime Chevée

14 papers receiving 748 citations

Peers

Maxime Chevée
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 418
  • Cognitive Neuroscience 245
  • Developmental Neuroscience 36
  • Sensory Systems 33
  • Behavioral Neuroscience 23
Replace Bart C. Jongbloets with:
Bart C. Jongbloets United States
Frédéric Gambino France
Caroline A. Johnson United States
Alexander Cummins United States
Hai‐yan He United States
Jessica A. Osterhout United States
Iksung Jin United States
Atomu Sawatari Australia
Ee-Lynn Yap United States
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Citations per field
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Citations per year

Countries citing papers authored by Maxime Chevée

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Chevée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014160
2 2021130
3 2015122
4 2017105
5 201852
6 201947
7 202143
8 201837
9 202325
10 202115
11 201811
12 20233
13 20232
14 20222
15 20250

About Maxime Chevée

Maxime Chevée is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Sensory Systems and Physiology, having authored 15 papers that have together received 754 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Cell Image Analysis Techniques (2 papers), Olfactory and Sensory Function Studies (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (418 citations), Cognitive Neuroscience (245 citations), Developmental Neuroscience (36 citations), Sensory Systems (33 citations) and Behavioral Neuroscience (23 citations). Maxime Chevée has collaborated with scholars based in United States and Denmark. Frequent co-authors include Solange P. Brown, Tom Maniatis, Weisheng V. Chen, Rotem Rubinstein, Barry Honig, Lawrence Shapiro, Holly N. Wolcott, Chan Aye Thu, Daniel H. O’Connor and Klára Felsövályi. Their work appears in journals such as Cell Reports, Cell, Neuron, Journal of Pharmacology and Experimental Therapeutics and The Journal of Comparative 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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