Yan Kwok
Impact in
- Toxicology top 5%
- Microbiology top 10%
Papers in
-
- Cancer therapeutics and mechanisms 6
- Metabolism, Diabetes, and Cancer 3
- Receptor Mechanisms and Signaling 3
- Co-authors
- Laurence H. Hurley (7 shared papers)W. C. Hon (1 shared paper)Raphael A. Nemenoff (3 shared papers)Joseph Avruch (3 shared papers)James W. Gibb (4 shared papers)Rapin Osathanondh (2 shared papers)Perry J. Blackshear (2 shared papers)Gerald I. Shulman (2 shared papers)
- Journals
- Vaccine (3 papers)Journal of Biological Chemistry (3 papers)Journal of the American Chemical Society (2 papers)Life Sciences (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Yan Kwok
28 papers receiving 918 citations
Peers
Comparison fields: 5 of 93
- Toxicology 47
- Microbiology 64
- Endocrine and Autonomic Systems 63
- Molecular Biology 506
- Plant Science 220
Countries citing papers authored by Yan Kwok
This map shows the geographic impact of Yan Kwok'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 Yan Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Kwok more than expected).
Fields of papers citing papers by Yan Kwok
This network shows the impact of papers produced by Yan Kwok. 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 Yan Kwok. The network helps show where Yan Kwok may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Kwok, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 262 | |
| 2 | 1997 | 86 | |
| 3 | Insulin-stimulated tyrosine protein kinase. Characterization and relation to the insulin receptor. | 1984 | 76 |
| 4 | 2009 | 62 | |
| 5 | 1984 | 59 | |
| 6 | 1986 | 52 | |
| 7 | 1979 | 51 | |
| 8 | 1997 | 38 | |
| 9 | 1998 | 29 | |
| 10 | 1998 | 28 | |
| 11 | 1999 | 23 | |
| 12 | 2011 | 23 | |
| 13 | 1998 | 22 | |
| 14 | 1997 | 21 | |
| 15 | 2000 | 18 | |
| 16 | 1979 | 18 | |
| 17 | 1981 | 17 | |
| 18 | 2000 | 12 | |
| 19 | 2010 | 11 | |
| 20 | 1980 | 10 |
About Yan Kwok
Yan Kwok is a scholar working on Molecular Biology, Epidemiology, Organic Chemistry, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 28 papers that have together received 969 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (6 papers), Bioactive Compounds and Antitumor Agents (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Synthesis and Biological Evaluation (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroendocrine regulation and behavior (3 papers), Neuroscience of respiration and sleep (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Toxicology (47 citations), Microbiology (64 citations), Endocrine and Autonomic Systems (63 citations), Molecular Biology (506 citations) and Plant Science (220 citations). Yan Kwok has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Laurence H. Hurley, W. C. Hon, Raphael A. Nemenoff, Joseph Avruch, James W. Gibb, Rapin Osathanondh, Perry J. Blackshear, Gerald I. Shulman, Qingping Zeng and C. González. Their work appears in journals such as Vaccine, Journal of Biological Chemistry, Journal of the American Chemical Society, Life Sciences and Biochemistry.
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.