Jérôme Lecoq

6.3k total citations
26 papers, 1.5k citations indexed

About

Jérôme Lecoq is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Jérôme Lecoq has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 13 papers in Cognitive Neuroscience and 7 papers in Biophysics. Recurrent topics in Jérôme Lecoq's work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Olfactory and Sensory Function Studies (6 papers). Jérôme Lecoq is often cited by papers focused on Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Olfactory and Sensory Function Studies (6 papers). Jérôme Lecoq collaborates with scholars based in United States, France and Mali. Jérôme Lecoq's co-authors include Serge Charpak, Mark J. Schnitzer, Benjamin F. Grewe, Pascale Tiret, Mathieu Ducros, N. S. Orlova, Hongkui Zeng, Jin Zhong Li, Lacey Kitch and Jane Li and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jérôme Lecoq

25 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jérôme Lecoq United States	17	681	664	266	265	197	26	1.5k
Michael N. Economo United States	18	750 1.1×	727 1.1×	338 1.3×	155 0.6×	299 1.5×	28	1.6k
Clay Lacefield United States	17	1.0k 1.5×	877 1.3×	467 1.8×	216 0.8×	436 2.2×	29	2.0k
Prakash Kara United States	14	1.4k 2.0×	1.5k 2.2×	293 1.1×	148 0.6×	449 2.3×	27	2.3k
Forrest Collman United States	10	1.1k 1.7×	1.1k 1.6×	498 1.9×	153 0.6×	398 2.0×	14	2.0k
Céline Matéo United States	15	770 1.1×	971 1.5×	103 0.4×	164 0.6×	130 0.7×	16	1.5k
Boaz Mohar United States	13	1.2k 1.7×	638 1.0×	509 1.9×	250 0.9×	642 3.3×	15	2.1k
Jerry L. Chen United States	19	1.1k 1.6×	1.4k 2.1×	234 0.9×	126 0.5×	313 1.6×	29	2.2k
Tara Keck United Kingdom	16	1.5k 2.1×	1.2k 1.7×	349 1.3×	233 0.9×	589 3.0×	20	2.5k
Takashi Sato Japan	19	825 1.2×	1.6k 2.3×	199 0.7×	121 0.5×	338 1.7×	40	2.2k
Timothy A. Machado United States	10	1.1k 1.6×	1.1k 1.7×	310 1.2×	143 0.5×	428 2.2×	13	1.9k

Countries citing papers authored by Jérôme Lecoq

Since Specialization

Citations

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

Fields of papers citing papers by Jérôme Lecoq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Lecoq

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Lecoq. A scholar is included among the top collaborators of Jérôme Lecoq 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 Jérôme Lecoq. Jérôme Lecoq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Najafi, Farzaneh, Simone Russo, & Jérôme Lecoq. (2025). Unexpected events trigger task-independent signaling in VIP and excitatory neurons of mouse visual cortex. iScience. 28(2). 111728–111728.

Lecoq, Jérôme, Yanping Zhang, Cristina Irimia, et al.. (2022). Emergent reliability in sensory cortical coding and inter-area communication. Nature. 605(7911). 713–721. 39 indexed citations

Koch, Christof, Karel Svoboda, Amy Bernard, et al.. (2022). Next-generation brain observatories. Neuron. 110(22). 3661–3666. 9 indexed citations

Lee, Eric, Saskia de Vries, Shiella Caldejon, et al.. (2022). A Standardized Nonvisual Behavioral Event Is Broadcasted Homogeneously across Cortical Visual Areas without Modulating Visual Responses. eNeuro. 9(5). ENEURO.0491–21.2022. 2 indexed citations

Lecoq, Jérôme, Michael Oliver, Joshua H. Siegle, et al.. (2021). Removing independent noise in systems neuroscience data using DeepInterpolation. Nature Methods. 18(11). 1401–1408. 73 indexed citations

Wagner, Mark J., Joan Savall, Oscar Hernandez, et al.. (2021). A neural circuit state change underlying skilled movements. Cell. 184(14). 3731–3747.e21. 47 indexed citations

Lecoq, Jérôme, Oscar Hernandez, Yanping Zhang, et al.. (2020). Fundamental bounds on the fidelity of sensory cortical coding. Nature. 580(7801). 100–105. 105 indexed citations

Groblewski, Peter A., David Sullivan, Jérôme Lecoq, et al.. (2020). A standardized head-fixation system for performing large-scale, in vivo physiological recordings in mice. Journal of Neuroscience Methods. 346. 108922–108922. 8 indexed citations

Millman, Daniel, Gabriel Koch Ocker, Shiella Caldejon, et al.. (2020). VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli. eLife. 9. 39 indexed citations

10.

Waters, Jack, Eric Lee, Nathalie Gaudreault, et al.. (2019). Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse. PLoS ONE. 14(5). e0213924–e0213924. 13 indexed citations

11.

Lecoq, Jérôme, N. S. Orlova, & Benjamin F. Grewe. (2019). Wide. Fast. Deep: Recent Advances in Multiphoton Microscopy ofIn VivoNeuronal Activity. Journal of Neuroscience. 39(46). 9042–9052. 77 indexed citations

12.

Grewe, Benjamin F., Jan Gründemann, Lacey Kitch, et al.. (2017). Neural ensemble dynamics underlying a long-term associative memory. Nature. 543(7647). 670–675. 217 indexed citations

13.

Lecoq, Jérôme, Joan Savall, Dejan Vučinić, et al.. (2014). Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging. Nature Neuroscience. 17(12). 1825–1829. 99 indexed citations

14.

Tiret, Pascale, et al.. (2011). What Does Local Functional Hyperemia Tell about Local Neuronal Activation?. Journal of Neuroscience. 31(5). 1579–1582. 16 indexed citations

15.

Lecoq, Jérôme, Alexandre Parpaleix, Emmanuel Roussakis, et al.. (2011). Simultaneous two-photon imaging of oxygen and blood flow in deep cerebral vessels. Nature Medicine. 17(7). 893–898. 189 indexed citations

16.

Lecoq, Jérôme, Pascale Tiret, & Serge Charpak. (2009). Peripheral Adaptation Codes for High Odor Concentration in Glomeruli. Journal of Neuroscience. 29(10). 3067–3072. 50 indexed citations

17.

Lecoq, Jérôme, Pascale Tiret, Marion Najac, et al.. (2009). Odor-Evoked Oxygen Consumption by Action Potential and Synaptic Transmission in the Olfactory Bulb. Journal of Neuroscience. 29(5). 1424–1433. 62 indexed citations

18.

Tiret, Pascale, Emmanuelle Chaigneau, Jérôme Lecoq, & Serge Charpak. (2008). Two-Photon Imaging of Capillary Blood Flow in Olfactory Bulb Glomeruli. Methods in molecular biology. 489. 81–91. 20 indexed citations

19.

Chaigneau, Emmanuelle, Pascale Tiret, Jérôme Lecoq, et al.. (2007). The Relationship between Blood Flow and Neuronal Activity in the Rodent Olfactory Bulb. Journal of Neuroscience. 27(24). 6452–6460. 89 indexed citations

20.

Pouliquen, Y, et al.. (1969). [Corneal lenses glued with surgical adhesive (artificial epithelium)].. PubMed. 29(4). 299–304. 1 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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