Jérôme Lecoq
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
-
- Neuroscience and Neuropharmacology Research 9
- Neurobiology and Insect Physiology Research 5
- Neuroscience and Neural Engineering 3
-
- Neural dynamics and brain function 12
- Co-authors
- Serge Charpak (7 shared papers)Mark J. Schnitzer (6 shared papers)Benjamin F. Grewe (3 shared papers)Pascale Tiret (5 shared papers)Mathieu Ducros (2 shared papers)N. S. Orlova (2 shared papers)Hongkui Zeng (3 shared papers)Jin Zhong Li (3 shared papers)
- Journals
- Journal of Neuroscience (5 papers)Nature (3 papers)eLife (2 papers)iScience (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Jérôme Lecoq
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Biophysics 266
- Cellular and Molecular Neuroscience 681
- Cognitive Neuroscience 664
- Sensory Systems 162
- Neurology 137
Countries citing papers authored by Jérôme Lecoq
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
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-authors
The 25 scholars most cited alongside Jérôme Lecoq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 217 | |
| 2 | 2011 | 189 | |
| 3 | 2016 | 155 | |
| 4 | 2020 | 105 | |
| 5 | 2014 | 99 | |
| 6 | 2007 | 89 | |
| 7 | 2021 | 88 | |
| 8 | 2019 | 77 | |
| 9 | 2021 | 73 | |
| 10 | 2009 | 62 | |
| 11 | 2010 | 60 | |
| 12 | 2009 | 50 | |
| 13 | 2021 | 47 | |
| 14 | 2022 | 39 | |
| 15 | 2020 | 39 | |
| 16 | 2008 | 20 | |
| 17 | 2011 | 16 | |
| 18 | 2019 | 13 | |
| 19 | 2022 | 9 | |
| 20 | 2020 | 8 |
About Jérôme Lecoq
Jérôme Lecoq is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Sensory Systems and Biomedical Engineering, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Olfactory and Sensory Function Studies (6 papers), Neurobiology and Insect Physiology Research (5 papers), Advanced Chemical Sensor Technologies (3 papers), Cell Image Analysis Techniques (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Biophysics (266 citations), Cellular and Molecular Neuroscience (681 citations), Cognitive Neuroscience (664 citations), Sensory Systems (162 citations) and Neurology (137 citations). Jérôme Lecoq has collaborated with scholars based in United States, France and Switzerland. Frequent 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. Their work appears in journals such as Journal of Neuroscience, Nature, eLife, iScience and Nature Methods.
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.