David Kuo
Impact in
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- Neuroscience of respiration and sleep
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 4
- Co-authors
- William C. de Groat (7 shared papers)Tadashi Hisamitsu (3 shared papers)Irving Nadelhaft (3 shared papers)George M. Krauthamer (4 shared papers)William DeGroat (1 shared paper)Dwayne S. Yamasaki (3 shared papers)Marshall Urist (1 shared paper)Alexander Stojadinovic (1 shared paper)
- Journals
- The Journal of Comparative Neurology (6 papers)Brain Research (4 papers)Blood (2 papers)Infection and Immunity (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
David Kuo
37 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Endocrine and Autonomic Systems 206
- Cellular and Molecular Neuroscience 504
- Equine 33
- Physiology 412
- Urology 94
Countries citing papers authored by David Kuo
This map shows the geographic impact of David Kuo'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 Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kuo more than expected).
Fields of papers citing papers by David Kuo
This network shows the impact of papers produced by David Kuo. 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 Kuo. The network helps show where David Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside David Kuo, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 331 | |
| 2 | 2019 | 173 | |
| 3 | 1984 | 131 | |
| 4 | 1983 | 121 | |
| 5 | 1983 | 119 | |
| 6 | 2016 | 117 | |
| 7 | 1984 | 92 | |
| 8 | Pre-mRNA splicing and retinitis pigmentosa. | 2006 | 89 |
| 9 | 1982 | 88 | |
| 10 | 1985 | 81 | |
| 11 | 2018 | 58 | |
| 12 | 1980 | 54 | |
| 13 | 1982 | 53 | |
| 14 | 2006 | 51 | |
| 15 | 2016 | 49 | |
| 16 | 1982 | 37 | |
| 17 | 1984 | 35 | |
| 18 | 1981 | 34 | |
| 19 | 2005 | 31 | |
| 20 | 1985 | 28 |
About David Kuo
David Kuo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology, Ophthalmology and Immunology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Neuroscience of respiration and sleep (4 papers), RNA and protein synthesis mechanisms (4 papers), Glaucoma and retinal disorders (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Retinal and Optic Conditions (3 papers), Neuropeptides and Animal Physiology (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (206 citations), Cellular and Molecular Neuroscience (504 citations), Equine (33 citations), Physiology (412 citations) and Urology (94 citations). David Kuo has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include William C. de Groat, Tadashi Hisamitsu, Irving Nadelhaft, George M. Krauthamer, William DeGroat, Dwayne S. Yamasaki, Marshall Urist, Alexander Stojadinovic, Stephen Mastorides and Denis H. Y. Leung. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research, Blood, Infection and Immunity and Bioinformatics.
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.