Wayne Tsang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
Papers in
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- Ion channel regulation and function 4
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 2
- Signaling Pathways in Disease 2
-
- Cardiac electrophysiology and arrhythmias 4
- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Tuan H. Kuo (11 shared papers)Yingjie Yu (2 shared papers)Rajiv Joseph (3 shared papers)Dexian Dou (2 shared papers)Dejing Dou (1 shared paper)Hyeong-Reh Choi Kim (1 shared paper)R Joseph (1 shared paper)Li Zhu (1 shared paper)
- Journals
- Brain Research (4 papers)Biochemical and Biophysical Research Communications (3 papers)Archives of Biochemistry and Biophysics (2 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Cell Calcium (1 paper)
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Wayne Tsang
19 papers receiving 802 citations
Peers
Comparison fields: 5 of 80
- Neurology 83
- Physiology 43
- Molecular Biology 549
- Cellular and Molecular Neuroscience 136
- Cell Biology 119
Countries citing papers authored by Wayne Tsang
This map shows the geographic impact of Wayne Tsang'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 Wayne Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Tsang more than expected).
Fields of papers citing papers by Wayne Tsang
This network shows the impact of papers produced by Wayne Tsang. 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 Wayne Tsang. The network helps show where Wayne Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Tsang, 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 | 1998 | 163 | |
| 2 | 1995 | 122 | |
| 3 | 1994 | 82 | |
| 4 | 1995 | 67 | |
| 5 | 1997 | 53 | |
| 6 | 1992 | 51 | |
| 7 | 1991 | 45 | |
| 8 | 1992 | 37 | |
| 9 | 1987 | 37 | |
| 10 | 1988 | 26 | |
| 11 | 1987 | 22 | |
| 12 | 1996 | 22 | |
| 13 | 1991 | 22 | |
| 14 | 1993 | 19 | |
| 15 | 1987 | 15 | |
| 16 | 1993 | 11 | |
| 17 | 1985 | 11 | |
| 18 | 1993 | 7 | |
| 19 | 1992 | 1 |
About Wayne Tsang
Wayne Tsang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Cellular and Molecular Neuroscience and Physiology, having authored 19 papers that have together received 813 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (4 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Signaling Pathways in Disease (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Neurology (83 citations), Physiology (43 citations), Molecular Biology (549 citations), Cellular and Molecular Neuroscience (136 citations) and Cell Biology (119 citations). Wayne Tsang has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Tuan H. Kuo, Yingjie Yu, Rajiv Joseph, Dexian Dou, Dejing Dou, Hyeong-Reh Choi Kim, R Joseph, Li Zhu, Kevin Wang and Joseph Wiener. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Biochimica et Biophysica Acta (BBA) - Biomembranes and Cell Calcium.
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.