Daniel P. Darcy
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
Papers in
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- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 1
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- Neurogenesis and neuroplasticity mechanisms 2
- Co-authors
- Michael P. Stryker (2 shared papers)Z. Josh Huang (1 shared paper)Yu Fu (1 shared paper)Jason Tucciarone (1 shared paper)Roger A. Nicoll (1 shared paper)J. Sebastian Espinosa (1 shared paper)Nengyin Sheng (1 shared paper)Jeffry S. Isaacson (3 shared papers)
- Journals
- Journal of Neuroscience (2 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)Nature Neuroscience (1 paper)Journal of Neurophysiology (1 paper)Cell (1 paper)
- Partner nations
- United StatesNorwayGermany
In The Last Decade
Daniel P. Darcy
7 papers receiving 971 citations
Daniel P. Darcy's Hit Papers
Peers
Comparison fields: 5 of 78
- Sensory Systems 201
- Cellular and Molecular Neuroscience 616
- Cognitive Neuroscience 575
- Developmental Neuroscience 53
- Neurology 53
Countries citing papers authored by Daniel P. Darcy
This map shows the geographic impact of Daniel P. Darcy'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 Daniel P. Darcy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Darcy more than expected).
Fields of papers citing papers by Daniel P. Darcy
This network shows the impact of papers produced by Daniel P. Darcy. 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 Daniel P. Darcy. The network helps show where Daniel P. Darcy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Darcy, 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 | A Cortical Circuit for Gain Control by Behavioral State Hit paper breakdown → | 2014 | 637 |
| 2 | 2005 | 151 | |
| 3 | 2016 | 98 | |
| 4 | 2010 | 54 | |
| 5 | 2009 | 31 | |
| 6 | 2010 | 5 | |
| 7 | 2019 | 4 |
About Daniel P. Darcy
Daniel P. Darcy is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Sensory Systems, having authored 7 papers that have together received 980 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Olfactory and Sensory Function Studies (2 papers), EEG and Brain-Computer Interfaces (2 papers), Multisensory perception and integration (1 paper), Neurobiology and Insect Physiology Research (1 paper), Neural dynamics and brain function (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Sensory Systems (201 citations), Cellular and Molecular Neuroscience (616 citations), Cognitive Neuroscience (575 citations), Developmental Neuroscience (53 citations) and Neurology (53 citations). Daniel P. Darcy has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Michael P. Stryker, Z. Josh Huang, Yu Fu, Jason Tucciarone, Roger A. Nicoll, J. Sebastian Espinosa, Nengyin Sheng, Jeffry S. Isaacson, Gabe J. Murphy and Ulrich Engelke. Their work appears in journals such as Journal of Neuroscience, IEEE Journal of Selected Topics in Signal Processing, Nature Neuroscience, Journal of Neurophysiology and Cell.
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.