David T. She
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Histone Deacetylase Inhibitors Research 1
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- Neuroscience and Neural Engineering 1
- Co-authors
- Thiruma V. Arumugam (4 shared papers)Sang‐Ha Baik (2 shared papers)David C. Reutens (4 shared papers)Randal X. Moldrich (2 shared papers)Christopher G. Sobey (1 shared paper)Edward H. Koo (1 shared paper)Dong‐Gyu Jo (1 shared paper)Elliot Dolan‐Evans (1 shared paper)
- Journals
- Scientific Reports (1 paper)Brain Behavior and Immunity (1 paper)Translational Stroke Research (1 paper)Behavioural Brain Research (1 paper)NeuroImage (1 paper)
- Partner nations
- SingaporeAustraliaSouth Korea
In The Last Decade
David T. She
9 papers receiving 423 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 52
- Neurology 96
- Physiology 27
- Developmental Neuroscience 14
- Cognitive Neuroscience 64
Countries citing papers authored by David T. She
This map shows the geographic impact of David T. She'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 David T. She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. She more than expected).
Fields of papers citing papers by David T. She
This network shows the impact of papers produced by David T. She. 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 David T. She. The network helps show where David T. She may publish in the future.
Co-authors
The 25 scholars most cited alongside David T. She, 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 | 141 | |
| 2 | 2013 | 79 | |
| 3 | 2018 | 72 | |
| 4 | 2013 | 43 | |
| 5 | 2017 | 34 | |
| 6 | 2013 | 20 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 5 | |
| 10 | 2018 | 0 |
About David T. She
David T. She is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Geriatrics and Gerontology and Cognitive Neuroscience, having authored 10 papers that have together received 425 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Epilepsy research and treatment (2 papers), Autophagy in Disease and Therapy (2 papers), Cellular Mechanics and Interactions (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Neuroscience and Neural Engineering (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (52 citations), Neurology (96 citations), Physiology (27 citations), Developmental Neuroscience (14 citations) and Cognitive Neuroscience (64 citations). David T. She has collaborated with scholars based in Singapore, Australia and South Korea. Frequent co-authors include Thiruma V. Arumugam, Sang‐Ha Baik, David C. Reutens, Randal X. Moldrich, Christopher G. Sobey, Edward H. Koo, Dong‐Gyu Jo, Elliot Dolan‐Evans, David Y. Fann and Michael Nelson. Their work appears in journals such as Scientific Reports, Brain Behavior and Immunity, Translational Stroke Research, Behavioural Brain Research and NeuroImage.
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.