Greg Hood
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
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- HIV, Drug Use, Sexual Risk 3
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- Optical Imaging and Spectroscopy Techniques 3
- Co-authors
- R. Clay Reid (2 shared papers)Wei-Chung Allen Lee (2 shared papers)Arthur W. Wetzel (5 shared papers)Mark L. Andermann (1 shared paper)Sergey Yurgenson (1 shared paper)Davi D. Bock (1 shared paper)Hyun Sook Kim (1 shared paper)Aaron Kerlin (1 shared paper)
- Journals
- Nature (2 papers)Neurocomputing (2 papers)Clinical Infectious Diseases (1 paper)Journal of the International AIDS Society (1 paper)Biological Invasions (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Greg Hood
16 papers receiving 1.0k citations
Greg Hood's Hit Papers
Peers
Comparison fields: 5 of 108
- Structural Biology 127
- Biophysics 227
- Cognitive Neuroscience 594
- Cellular and Molecular Neuroscience 491
- Aging 19
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
| # | Work | ||
|---|---|---|---|
| 1 | Network anatomy and in vivo physiology of visual cortical neurons Hit paper breakdown → | 2011 | 587 |
| 2 | 2016 | 316 | |
| 3 | 1997 | 30 | |
| 4 | 2016 | 27 | |
| 5 | 2001 | 23 | |
| 6 | 2009 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2017 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2016 | 8 | |
| 11 | 2011 | 7 | |
| 12 | 2002 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2010 | 1 | |
| 16 | Using P-GENESIS for Parallel Simulation of GENESIS Models | 2005 | 1 |
About Greg Hood
Greg Hood is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Molecular Biology and Cognitive Neuroscience, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers), Sex work and related issues (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Structural Biology (127 citations), Biophysics (227 citations), Cognitive Neuroscience (594 citations), Cellular and Molecular Neuroscience (491 citations) and Aging (19 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, Mark L. Andermann, Sergey Yurgenson, Davi D. Bock, Hyun Sook Kim, Aaron Kerlin, Edward Soucy and Brett J. Graham. Their work appears in journals such as Nature, Neurocomputing, Clinical Infectious Diseases, Journal of the International AIDS Society and Biological Invasions.
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.