Eric D. Garrison
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neurogenesis and neuroplasticity mechanisms 5
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- Building Energy and Comfort Optimization 5
- Co-authors
- Robert H. Miller (7 shared papers)Molly T. Karl (7 shared papers)Benjamin L.L. Clayton (2 shared papers)Kevin Cameron Allan (2 shared papers)Paul J. Tesar (2 shared papers)H. Elizabeth Shick (2 shared papers)Cheryl Clarkson‐Paredes (2 shared papers)Lilianne Barbar (1 shared paper)
- Journals
- Smart Cities (1 paper)Frontiers in Cellular Neuroscience (1 paper)Brain Behavior & Immunity - Health (1 paper)Nature Methods (1 paper)Glia (1 paper)
- Partner nations
- United States
In The Last Decade
Eric D. Garrison
13 papers receiving 578 citations
Peers
Comparison fields: 5 of 74
- Developmental Neuroscience 217
- Neurology 107
- Cellular and Molecular Neuroscience 101
- Molecular Biology 346
- Aging 8
Countries citing papers authored by Eric D. Garrison
This map shows the geographic impact of Eric D. Garrison'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 Eric D. Garrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Garrison more than expected).
Fields of papers citing papers by Eric D. Garrison
This network shows the impact of papers produced by Eric D. Garrison. 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 Eric D. Garrison. The network helps show where Eric D. Garrison may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Garrison, 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 | 2018 | 277 | |
| 2 | 2018 | 182 | |
| 3 | 2020 | 47 | |
| 4 | 2024 | 26 | |
| 5 | 2017 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2018 | 9 | |
| 8 | 2020 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 | |
| 14 | Accuracy of a Crude Approach to Urban Multi-Scale Building Energy Models Compared to 15-min Electricity Use | 2023 | 0 |
About Eric D. Garrison
Eric D. Garrison is a scholar working on Developmental Neuroscience, Building and Construction, Cancer Research, Renewable Energy, Sustainability and the Environment and Pathology and Forensic Medicine, having authored 14 papers that have together received 583 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Multiple Sclerosis Research Studies (3 papers), MicroRNA in disease regulation (3 papers), Smart Grid Energy Management (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Energy Efficiency and Management (2 papers) and Immune cells in cancer (1 paper). The work is most often cited by research in Developmental Neuroscience (217 citations), Neurology (107 citations), Cellular and Molecular Neuroscience (101 citations), Molecular Biology (346 citations) and Aging (8 citations). Eric D. Garrison has collaborated with scholars based in United States. Frequent co-authors include Robert H. Miller, Molly T. Karl, Benjamin L.L. Clayton, Kevin Cameron Allan, Paul J. Tesar, H. Elizabeth Shick, Cheryl Clarkson‐Paredes, Lilianne Barbar, Daniel C. Factor and Valentina Fossati. Their work appears in journals such as Smart Cities, Frontiers in Cellular Neuroscience, Brain Behavior & Immunity - Health, Nature Methods and Glia.
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.