Simon Peron
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
Papers in
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- Neural dynamics and brain function 17
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- Neuroscience and Neural Engineering 10
- Photoreceptor and optogenetics research 8
- Neurobiology and Insect Physiology Research 3
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Karel Svoboda (8 shared papers)Daniel Huber (4 shared papers)Daniel H. O’Connor (3 shared papers)Fabrizio Gabbiani (4 shared papers)Diego A. Gutnisky (2 shared papers)Jeremy Freeman (2 shared papers)V. Iyer (1 shared paper)Caiying Guo (1 shared paper)
- Journals
- Neuron (3 papers)Nature Communications (2 papers)Nature (2 papers)Nature Methods (1 paper)Biological Cybernetics (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Simon Peron
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 1.3k
- Cellular and Molecular Neuroscience 1.2k
- Biophysics 175
- Sensory Systems 92
- Neurology 74
Countries citing papers authored by Simon Peron
This map shows the geographic impact of Simon Peron'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 Simon Peron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Peron more than expected).
Fields of papers citing papers by Simon Peron
This network shows the impact of papers produced by Simon Peron. 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 Simon Peron. The network helps show where Simon Peron may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Peron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 359 | |
| 2 | 2010 | 355 | |
| 3 | 2014 | 277 | |
| 4 | 2015 | 209 | |
| 5 | 2009 | 112 | |
| 6 | 2012 | 104 | |
| 7 | 2020 | 69 | |
| 8 | 2015 | 65 | |
| 9 | 2010 | 58 | |
| 10 | 2009 | 38 | |
| 11 | 2009 | 37 | |
| 12 | 2006 | 24 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 0 |
About Simon Peron
Simon Peron is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems and Biophysics, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (8 papers), Neurobiology and Insect Physiology Research (3 papers), Olfactory and Sensory Function Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (1.2k citations), Biophysics (175 citations), Sensory Systems (92 citations) and Neurology (74 citations). Simon Peron has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Karel Svoboda, Daniel Huber, Daniel H. O’Connor, Fabrizio Gabbiani, Diego A. Gutnisky, Jeremy Freeman, V. Iyer, Caiying Guo, Loren L. Looger and J. Simon Wiegert. Their work appears in journals such as Neuron, Nature Communications, Nature, Nature Methods and Biological Cybernetics.
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.