Philip Coen
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
Papers in
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- Neurobiology and Insect Physiology Research 6
- Neuroscience and Neural Engineering 1
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- Animal Behavior and Reproduction 7
- Plant and animal studies 2
- Co-authors
- David W. Tank (1 shared paper)Christopher D. Harvey (1 shared paper)Mala Murthy (8 shared papers)Jan Clemens (5 shared papers)Diego A. Pacheco (2 shared papers)Yi Deng (2 shared papers)David L. Stern (2 shared papers)Benjamin Arthur (2 shared papers)
- Journals
- Neuron (3 papers)Nature (2 papers)Nature Methods (1 paper)BMC Biology (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Philip Coen
12 papers receiving 1.1k citations
Philip Coen's Hit Papers
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 619
- Cognitive Neuroscience 619
- Developmental Biology 71
- Sensory Systems 78
- Ecology, Evolution, Behavior and Systematics 312
Countries citing papers authored by Philip Coen
This map shows the geographic impact of Philip Coen'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 Philip Coen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Coen more than expected).
Fields of papers citing papers by Philip Coen
This network shows the impact of papers produced by Philip Coen. 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 Philip Coen. The network helps show where Philip Coen may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Coen, 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 | Choice-specific sequences in parietal cortex during a virtual-navigation decision task Hit paper breakdown → | 2012 | 637 |
| 2 | 2014 | 97 | |
| 3 | 2013 | 78 | |
| 4 | 2016 | 65 | |
| 5 | 2012 | 57 | |
| 6 | 2015 | 47 | |
| 7 | 2018 | 46 | |
| 8 | 2016 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2013 | 19 | |
| 11 | 2017 | 10 | |
| 12 | 2024 | 4 |
About Philip Coen
Philip Coen is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics, Developmental Biology and Cognitive Neuroscience, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (7 papers), Neurobiology and Insect Physiology Research (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Plant and animal studies (2 papers), Neural dynamics and brain function (2 papers), Animal Vocal Communication and Behavior (2 papers), Neuroscience and Neural Engineering (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (619 citations), Cognitive Neuroscience (619 citations), Developmental Biology (71 citations), Sensory Systems (78 citations) and Ecology, Evolution, Behavior and Systematics (312 citations). Philip Coen has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include David W. Tank, Christopher D. Harvey, Mala Murthy, Jan Clemens, Diego A. Pacheco, Yi Deng, David L. Stern, Benjamin Arthur, Sina Tootoonian and Cyrille C. Girardin. Their work appears in journals such as Neuron, Nature, Nature Methods, BMC Biology and Current Biology.
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.