Wayne Tsang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
Papers in
-
- Ion channel regulation and function 4
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 3
- Receptor Mechanisms and Signaling 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cardiac electrophysiology and arrhythmias 4
- Co-authors
- Tuan H. Kuo (11 shared papers)Yingjie Yu (2 shared papers)Rajiv Joseph (3 shared papers)Hyeong-Reh Choi Kim (1 shared paper)Dexian Dou (2 shared papers)R Joseph (1 shared paper)Dejing Dou (1 shared paper)Kevin Wang (3 shared papers)
- Journals
- Brain Research (4 papers)Biochemical and Biophysical Research Communications (3 papers)Archives of Biochemistry and Biophysics (2 papers)Journal of Biological Chemistry (1 paper)DNA and Cell Biology (1 paper)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Wayne Tsang
19 papers receiving 833 citations
Peers
Comparison fields: 5 of 79
- Neurology 77
- Physiology 44
- Molecular Biology 543
- Cellular and Molecular Neuroscience 141
- Cell Biology 122
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 | 169 | |
| 2 | 1995 | 135 | |
| 3 | 1994 | 82 | |
| 4 | 1995 | 68 | |
| 5 | 1997 | 55 | |
| 6 | 1992 | 51 | |
| 7 | 1991 | 49 | |
| 8 | 1992 | 41 | |
| 9 | 1987 | 39 | |
| 10 | 1988 | 28 | |
| 11 | 1991 | 24 | |
| 12 | 1996 | 23 | |
| 13 | 1987 | 22 | |
| 14 | 1993 | 22 | |
| 15 | 1987 | 18 | |
| 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 856 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (4 papers), RNA Interference and Gene Delivery (3 papers), RNA Research and Splicing (3 papers), T-cell and B-cell Immunology (2 papers), Receptor Mechanisms and Signaling (2 papers), Immune Cell Function and Interaction (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Neurology (77 citations), Physiology (44 citations), Molecular Biology (543 citations), Cellular and Molecular Neuroscience (141 citations) and Cell Biology (122 citations). Wayne Tsang has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Tuan H. Kuo, Yingjie Yu, Rajiv Joseph, Hyeong-Reh Choi Kim, Dexian Dou, R Joseph, Dejing Dou, Kevin Wang, Joseph Wiener and Clement A. Diglio. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry and DNA and Cell Biology.
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.