Fai Tsang
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
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- Nuclear Receptors and Signaling
Papers in
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- RNA regulation and disease 3
- Polyamine Metabolism and Applications 1
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- Parkinson's Disease Mechanisms and Treatments 5
- Co-authors
- Kah‐Leong Lim (4 shared papers)Katherine C. M. Chew (4 shared papers)W.S. Fred Wong (4 shared papers)Valina L. Dawson (2 shared papers)Ted M. Dawson (2 shared papers)Tuck Wah Soong (4 shared papers)Juan C. Troncoso (1 shared paper)Han Seok Ko (1 shared paper)
- Journals
- IUBMB Life (1 paper)NeuroMolecular Medicine (1 paper)Human Molecular Genetics (1 paper)Journal of Biological Chemistry (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Fai Tsang
13 papers receiving 408 citations
Peers
Comparison fields: 5 of 75
- Neurology 180
- Neurology 61
- Cellular and Molecular Neuroscience 87
- Physiology 107
- Nutrition and Dietetics 49
Countries citing papers authored by Fai Tsang
This map shows the geographic impact of Fai 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 Fai Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fai Tsang more than expected).
Fields of papers citing papers by Fai Tsang
This network shows the impact of papers produced by Fai 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 Fai Tsang. The network helps show where Fai Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fai 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 | 2005 | 169 | |
| 2 | 2011 | 73 | |
| 3 | 2018 | 29 | |
| 4 | 1998 | 25 | |
| 5 | 2000 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2002 | 21 | |
| 8 | 2013 | 13 | |
| 9 | 2003 | 12 | |
| 10 | 2003 | 11 | |
| 11 | Effects of inhibitors of the tyrosine kinase signaling cascade on an in vitro model of allergic airways. | 1999 | 6 |
| 12 | 2015 | 5 | |
| 13 | 2014 | 4 |
About Fai Tsang
Fai Tsang is a scholar working on Molecular Biology, Neurology, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Mast cells and histamine (3 papers), RNA regulation and disease (3 papers), Trace Elements in Health (2 papers), Nuclear Receptors and Signaling (2 papers), Circadian rhythm and melatonin (2 papers), Biochemical effects in animals (2 papers) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Neurology (180 citations), Neurology (61 citations), Cellular and Molecular Neuroscience (87 citations), Physiology (107 citations) and Nutrition and Dietetics (49 citations). Fai Tsang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Kah‐Leong Lim, Katherine C. M. Chew, W.S. Fred Wong, Valina L. Dawson, Ted M. Dawson, Tuck Wah Soong, Juan C. Troncoso, Han Seok Ko, Olga Pletniková and T. M. Lim. Their work appears in journals such as IUBMB Life, NeuroMolecular Medicine, Human Molecular Genetics, Journal of Biological Chemistry and Journal of Neuroscience.
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.