David Tsay
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 6
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- Neural dynamics and brain function 6
- Co-authors
- Steven A. Siegelbaum (2 shared papers)Joshua T. Dudman (2 shared papers)Rafael Yuste (3 shared papers)Knut Holthoff (2 shared papers)Cam Patterson (1 shared paper)Yu Gan (2 shared papers)Charles C. Marboe (2 shared papers)Christine P. Hendon (2 shared papers)
- Journals
- Neuron (3 papers)Circulation (1 paper)Journal of Biomedical Optics (1 paper)Bell Labs Technical Journal (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
David Tsay
10 papers receiving 627 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 450
- Cognitive Neuroscience 278
- Health Informatics 6
- Neurology 34
- Developmental Neuroscience 16
Countries citing papers authored by David Tsay
This map shows the geographic impact of David Tsay'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 Tsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tsay more than expected).
Fields of papers citing papers by David Tsay
This network shows the impact of papers produced by David Tsay. 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 Tsay. The network helps show where David Tsay may publish in the future.
Co-authors
The 9 scholars most cited alongside David Tsay, 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 | 2007 | 173 | |
| 2 | 2007 | 146 | |
| 3 | 2002 | 99 | |
| 4 | 2003 | 86 | |
| 5 | 2016 | 51 | |
| 6 | 2018 | 41 | |
| 7 | 2002 | 31 | |
| 8 | 2002 | 7 | |
| 9 | 2017 | 1 | |
| 10 | 2005 | 1 |
About David Tsay
David Tsay is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Surgery and Molecular Biology, having authored 10 papers that have together received 636 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Optical Coherence Tomography Applications (2 papers), Coronary Interventions and Diagnostics (2 papers), Advanced Memory and Neural Computing (2 papers), Retinal Imaging and Analysis (1 paper), Ion channel regulation and function (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (450 citations), Cognitive Neuroscience (278 citations), Health Informatics (6 citations), Neurology (34 citations) and Developmental Neuroscience (16 citations). David Tsay has collaborated with scholars based in United States and Germany. Frequent co-authors include Steven A. Siegelbaum, Joshua T. Dudman, Rafael Yuste, Knut Holthoff, Cam Patterson, Yu Gan, Charles C. Marboe, Christine P. Hendon and Xinwen Yao. Their work appears in journals such as Neuron, Circulation, Journal of Biomedical Optics, Bell Labs Technical Journal and Journal of Neurophysiology.
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.