Charly V. Rousseau

1.3k total citations
17 papers, 738 citations indexed

About

Charly V. Rousseau is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Charly V. Rousseau has authored 17 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 4 papers in Neurology. Recurrent topics in Charly V. Rousseau's work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Vestibular and auditory disorders (4 papers). Charly V. Rousseau is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Vestibular and auditory disorders (4 papers). Charly V. Rousseau collaborates with scholars based in France, United Kingdom and United States. Charly V. Rousseau's co-authors include Troy W. Margrie, Molly Strom, Mateo Vélez‐Fort, Stéphane Dieudonné, Christian J. Niedworok, Marco A. Diana, Alexander P.Y. Brown, Ede Rancz, Lee Cossell and Guillaume P. Dugué and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Charly V. Rousseau

16 papers receiving 730 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charly V. Rousseau France 13 467 405 179 168 113 17 738
Farzaneh Najafi United States 7 422 0.9× 462 1.1× 251 1.4× 128 0.8× 155 1.4× 12 861
Daniela Gandolfi Italy 15 338 0.7× 326 0.8× 234 1.3× 76 0.5× 80 0.7× 30 647
Antoine M. Valera France 9 317 0.7× 201 0.5× 228 1.3× 127 0.8× 102 0.9× 9 498
Tony Hyun Kim United States 10 485 1.0× 558 1.4× 303 1.7× 144 0.9× 106 0.9× 11 1.1k
Ethan B. Richman United States 6 445 1.0× 358 0.9× 62 0.3× 162 1.0× 39 0.3× 7 768
Brian Kalmbach United States 14 444 1.0× 523 1.3× 210 1.2× 139 0.8× 59 0.5× 21 760
Seita Yamashita United States 4 569 1.2× 688 1.7× 80 0.4× 168 1.0× 64 0.6× 4 1.0k
Fernando R. Fernandez United States 20 663 1.4× 518 1.3× 124 0.7× 299 1.8× 64 0.6× 38 978
Ivan Marchionni Italy 16 750 1.6× 446 1.1× 110 0.6× 277 1.6× 30 0.3× 20 979
Nicholas N. Foster United States 8 592 1.3× 695 1.7× 87 0.5× 203 1.2× 53 0.5× 10 1.1k

Countries citing papers authored by Charly V. Rousseau

Since Specialization
Citations

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

Fields of papers citing papers by Charly V. Rousseau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charly V. Rousseau. 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 Charly V. Rousseau. The network helps show where Charly V. Rousseau may publish in the future.

Co-authorship network of co-authors of Charly V. Rousseau

This figure shows the co-authorship network connecting the top 25 collaborators of Charly V. Rousseau. A scholar is included among the top collaborators of Charly V. Rousseau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charly V. Rousseau. Charly V. Rousseau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rousseau, Charly V., et al.. (2025). Enderscope.py: A library for computational imaging using the EnderScope automated microscope. SoftwareX. 31. 102210–102210.
2.
Topilko, Thomas, Silvina L. Diaz, Charly V. Rousseau, et al.. (2022). Edinger-Westphal peptidergic neurons enable maternal preparatory nesting. Neuron. 110(8). 1385–1399.e8. 22 indexed citations
3.
Tyson, Adam L., Mateo Vélez‐Fort, Charly V. Rousseau, et al.. (2022). Accurate determination of marker location within whole-brain microscopy images. Scientific Reports. 12(1). 867–867. 26 indexed citations
4.
Tyson, Adam L., Charly V. Rousseau, Christian J. Niedworok, et al.. (2021). A deep learning algorithm for 3D cell detection in whole mouse brain image datasets. PLoS Computational Biology. 17(5). e1009074–e1009074. 45 indexed citations
5.
Tyson, Adam L., Charly V. Rousseau, Christian J. Niedworok, & Troy W. Margrie. (2020). SainsburyWellcomeCentre/cellfinder: Version 0.3.7. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Tyson, Adam L., Charly V. Rousseau, & Troy W. Margrie. (2020). brainreg: automated 3D brain registration with support for multiple species and atlases. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
7.
Otsu, Yo, Emmanuel Darcq, Katarzyna Pietrajtis, et al.. (2019). Control of aversion by glycine-gated GluN1/GluN3A NMDA receptors in the adult medial habenula. Science. 366(6462). 250–254. 69 indexed citations
8.
Tyson, Adam L., Charly V. Rousseau, Christian J. Niedworok, & Troy W. Margrie. (2019). amap: automatic atlas propagation. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Otsu, Yo, Salvatore Lecca, Katarzyna Pietrajtis, et al.. (2018). Functional Principles of Posterior Septal Inputs to the Medial Habenula. Cell Reports. 22(3). 693–705. 22 indexed citations
10.
Vélez‐Fort, Mateo, Edward F. Bracey, Sepiedeh Keshavarzi, et al.. (2018). A Circuit for Integration of Head- and Visual-Motion Signals in Layer 6 of Mouse Primary Visual Cortex. Neuron. 98(1). 179–191.e6. 82 indexed citations
11.
Giber, Kristóf, Marco A. Diana, Viktor Plattner, et al.. (2015). A subcortical inhibitory signal for behavioral arrest in the thalamus. Nature Neuroscience. 18(4). 562–568. 54 indexed citations
12.
Husson, Zoé, et al.. (2014). Differential GABAergic and Glycinergic Inputs of Inhibitory Interneurons and Purkinje Cells to Principal Cells of the Cerebellar Nuclei. Journal of Neuroscience. 34(28). 9418–9431. 44 indexed citations
13.
Vélez‐Fort, Mateo, Charly V. Rousseau, Christian J. Niedworok, et al.. (2014). The Stimulus Selectivity and Connectivity of Layer Six Principal Cells Reveals Cortical Microcircuits Underlying Visual Processing. Neuron. 83(6). 1431–1443. 129 indexed citations
14.
Vélez‐Fort, Mateo, Charly V. Rousseau, Christian J. Niedworok, et al.. (2014). The Stimulus Selectivity and Connectivity of Layer Six Principal Cells Reveals Cortical Microcircuits Underlying Visual Processing. Neuron. 84(1). 238–238. 13 indexed citations
15.
Schwartz, Eric, Jason S. Rothman, Guillaume P. Dugué, et al.. (2012). NMDA Receptors with Incomplete Mg2+Block Enable Low-Frequency Transmission through the Cerebellar Cortex. Journal of Neuroscience. 32(20). 6878–6893. 36 indexed citations
16.
Rousseau, Charly V., Guillaume P. Dugué, Andréa Dumoulin, et al.. (2012). Mixed Inhibitory Synaptic Balance Correlates with Glutamatergic Synaptic Phenotype in Cerebellar Unipolar Brush Cells. Journal of Neuroscience. 32(13). 4632–4644. 40 indexed citations
17.
Solages, Camille de, Germán Szapiro, Nicolas Brunel, et al.. (2008). High-Frequency Organization and Synchrony of Activity in the Purkinje Cell Layer of the Cerebellum. Neuron. 58(5). 775–788. 148 indexed citations

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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