Greg Hood
Impact in
- Structural Biology top 2%
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
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- Neural dynamics and brain function 3
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- Neural Networks and Applications 4
- Co-authors
- R. Clay Reid (2 shared papers)Wei-Chung Allen Lee (2 shared papers)Arthur W. Wetzel (5 shared papers)Aaron Kerlin (1 shared paper)Sergey Yurgenson (1 shared paper)Edward Soucy (1 shared paper)Mark L. Andermann (1 shared paper)Davi D. Bock (1 shared paper)
- Journals
- Nature (2 papers)Neurocomputing (2 papers)Risk Analysis (1 paper)Biological Invasions (1 paper)Biomedical Optics Express (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Greg Hood
22 papers receiving 1.1k citations
Greg Hood's Hit Papers
Peers
Comparison fields: 5 of 107
- Structural Biology 134
- Biophysics 235
- Cognitive Neuroscience 639
- Cellular and Molecular Neuroscience 516
- Aging 21
Countries citing papers authored by Greg Hood
This map shows the geographic impact of Greg Hood'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 Hood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Hood more than expected).
Fields of papers citing papers by Greg Hood
This network shows the impact of papers produced by Greg Hood. 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 Hood. The network helps show where Greg Hood may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Hood, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network anatomy and in vivo physiology of visual cortical neurons Hit paper breakdown → | 2011 | 626 |
| 2 | 2016 | 328 | |
| 3 | 1997 | 31 | |
| 4 | 2016 | 28 | |
| 5 | 2001 | 25 | |
| 6 | 2009 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 1997 | 18 | |
| 9 | 1998 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 1997 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2011 | 7 | |
| 15 | 1986 | 6 | |
| 16 | 2002 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2010 | 1 |
About Greg Hood
Greg Hood is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Neuroscience and Neuropharmacology Research (3 papers), HIV/AIDS Research and Interventions (3 papers), Cell Image Analysis Techniques (3 papers), Neural dynamics and brain function (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Structural Biology (134 citations), Biophysics (235 citations), Cognitive Neuroscience (639 citations), Cellular and Molecular Neuroscience (516 citations) and Aging (21 citations). Greg Hood has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include R. Clay Reid, Wei-Chung Allen Lee, Arthur W. Wetzel, Aaron Kerlin, Sergey Yurgenson, Edward Soucy, Mark L. Andermann, Davi D. Bock, Katie Glattfelder and Vincent Bonin. Their work appears in journals such as Nature, Neurocomputing, Risk Analysis, Biological Invasions and Biomedical Optics Express.
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.