Fai Tang
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Biological Psychiatry top 10%
Papers in
-
- Neuropeptides and Animal Physiology 37
-
- Receptor Mechanisms and Signaling 18
- Co-authors
- O Wai‐Sum (11 shared papers)Bernard M.Y. Cheung (4 shared papers)David Borchelt (1 shared paper)Guilian Xu (1 shared paper)Alicja L. Markowska (1 shared paper)Alena Savonenko (1 shared paper)Johanna L Morton (1 shared paper)Donald L. Price (1 shared paper)
In The Last Decade
Fai Tang
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 511
- Biological Psychiatry 48
- Behavioral Neuroscience 52
- Physiology 312
- Endocrine and Autonomic Systems 63
Countries citing papers authored by Fai Tang
This map shows the geographic impact of Fai Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fai Tang more than expected).
Fields of papers citing papers by Fai Tang
This network shows the impact of papers produced by Fai Tang. 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 Tang. The network helps show where Fai Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fai Tang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 330 | |
| 2 | 2004 | 83 | |
| 3 | 1984 | 61 | |
| 4 | 2012 | 46 | |
| 5 | 1990 | 44 | |
| 6 | 2010 | 44 | |
| 7 | 2013 | 36 | |
| 8 | 2003 | 31 | |
| 9 | 2006 | 29 | |
| 10 | 2004 | 26 | |
| 11 | 2008 | 25 | |
| 12 | 2007 | 22 | |
| 13 | 2010 | 19 | |
| 14 | 2007 | 19 | |
| 15 | 1989 | 15 | |
| 16 | 1991 | 15 | |
| 17 | 2001 | 15 | |
| 18 | 2005 | 14 | |
| 19 | 1997 | 13 | |
| 20 | 2004 | 11 |
About Fai Tang
Fai Tang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (37 papers), Receptor Mechanisms and Signaling (18 papers), Hormonal Regulation and Hypertension (8 papers), Neuroendocrine regulation and behavior (5 papers), Regulation of Appetite and Obesity (5 papers), Stress Responses and Cortisol (4 papers), Alzheimer's disease research and treatments (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (511 citations), Biological Psychiatry (48 citations), Behavioral Neuroscience (52 citations), Physiology (312 citations) and Endocrine and Autonomic Systems (63 citations). Fai Tang has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include O Wai‐Sum, Bernard M.Y. Cheung, David Borchelt, Guilian Xu, Alicja L. Markowska, Alena Savonenko, Johanna L Morton, Donald L. Price, Victoria Gonzales and Tatiana Melnikova. Their work appears in journals such as Biology of Reproduction, Clinical and Experimental Pharmacology and Physiology, Reproductive Biology and Endocrinology, Neuroendocrinology and Neuropeptides.
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.