Greg D. Field
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- Photoreceptor and optogenetics research 26
- Neuroscience and Neural Engineering 12
- Neuroscience and Neuropharmacology Research 6
- Neurobiology and Insect Physiology Research 5
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 30
- Visual perception and processing mechanisms 19
- Molecular Biology top 5%
- Retinal Development and Disorders 45
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies 4
- Co-authors
- E. J. ChichilniskyFred RiekeA. M. LitkeAlexander SherJeffrey L. GauthierJonathon ShlensMartin GreschnerAlapakkam P. Sampath
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Greg D. Field
57 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 1.6k
- Cognitive Neuroscience 1.6k
- Molecular Biology 1.6k
- Sensory Systems 104
- Endocrine and Autonomic Systems 123
Countries citing papers authored by Greg D. Field
This map shows the geographic impact of Greg D. Field'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 Greg D. Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg D. Field more than expected).
Fields of papers citing papers by Greg D. Field
This network shows the impact of papers produced by Greg D. Field. 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 Greg D. Field. The network helps show where Greg D. Field may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Greg D. Field, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 17 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 28 | |
| 7 | 2019 | 56 | |
| 8 | 2018 | 11 | |
| 9 | 2016 | 12 | |
| 10 | 2014 | 45 | |
| 11 | 2014 | 29 | |
| 12 | 2014 | 2 | |
| 13 | Toward a complete functional classification of ganglion cells in the rat retina | 2013 | 1 |
| 14 | Advances in color science: From retina to behavior (The Journal of Neuroscience (2010) (14955-14963)) | 2010 | 3 |
| 15 | 2010 | 117 | |
| 16 | Functional Identification of Individual Cones in the Receptive Fields of Primate Retinal Ganglion Cells | 2009 | 1 |
| 17 | 2009 | 104 | |
| 18 | 2009 | 76 | |
| 19 | Light Adaptation Changes the Size of Receptive Fields in Seven Distinct Primate Retinal Ganglion Cell Types | 2008 | 1 |
| 20 | 2007 | 134 |
About Greg D. Field
Greg D. Field is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 60 papers that have together received 2.8k indexed citations. Recurring topics across this work include Retinal Development and Disorders (45 papers), Neural dynamics and brain function (30 papers), Photoreceptor and optogenetics research (26 papers), Visual perception and processing mechanisms (19 papers), Neuroscience and Neural Engineering (12 papers), Neuroscience and Neuropharmacology Research (6 papers), Neurobiology and Insect Physiology Research (5 papers) and Olfactory and Sensory Function Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Cognitive Neuroscience (1.6k citations) and Molecular Biology (1.6k citations). Greg D. Field has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include E. J. Chichilnisky, Fred Rieke, A. M. Litke, Alexander Sher, Jeffrey L. Gauthier, Jonathon Shlens, Martin Greschner, Alapakkam P. Sampath, Dumitru Petrusca and Suva Roy. Their work appears in journals such as Journal of Neuroscience, Neuron, eLife, Journal of Neurophysiology and Nature Communications.
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.