Patrick T.W. Law
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- Liver Disease Diagnosis and Treatment
Papers in
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- Gut microbiota and health 4
-
- interferon and immune responses 2
- Biomarkers in Disease Mechanisms 2
- Co-authors
- Joseph J.�Y. Sung (4 shared papers)Hoi Shan Kwan (1 shared paper)David Ka‐Wai Yeung (1 shared paper)Angel Mei–Ling Chim (1 shared paper)Chiu‐Wing Winnie Chu (1 shared paper)Tommy Tsan‐Yuk Lam (1 shared paper)Henry Lik‐Yuen Chan (1 shared paper)Jun Yu (1 shared paper)
In The Last Decade
Patrick T.W. Law
16 papers receiving 560 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 161
- Epidemiology 222
- Animal Science and Zoology 56
- Physiology 139
- Biological Psychiatry 11
Countries citing papers authored by Patrick T.W. Law
This map shows the geographic impact of Patrick T.W. Law'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 Patrick T.W. Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick T.W. Law more than expected).
Fields of papers citing papers by Patrick T.W. Law
This network shows the impact of papers produced by Patrick T.W. Law. 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 Patrick T.W. Law. The network helps show where Patrick T.W. Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick T.W. Law, 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 | 2013 | 277 | |
| 2 | 2005 | 125 | |
| 3 | 2005 | 35 | |
| 4 | 2016 | 24 | |
| 5 | 2016 | 17 | |
| 6 | 1995 | 15 | |
| 7 | 2017 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 1996 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2005 | 6 | |
| 12 | Molecular and genetic characterisation of the SARS coronavirus auxiliary protein X1 in Drosophila. | 2008 | 6 |
| 13 | The 3a protein of SARS-coronavirus induces apoptosis in vero E6 cells | 2005 | 5 |
| 14 | 1997 | 5 | |
| 15 | 2018 | 2 | |
| 16 | 2012 | 2 |
About Patrick T.W. Law
Patrick T.W. Law is a scholar working on Molecular Biology, Immunology, Physiology, Infectious Diseases and Animal Science and Zoology, having authored 16 papers that have together received 570 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Animal Virus Infections Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Diet and metabolism studies (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), interferon and immune responses (2 papers), Biomarkers in Disease Mechanisms (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Infectious Diseases (161 citations), Epidemiology (222 citations), Animal Science and Zoology (56 citations), Physiology (139 citations) and Biological Psychiatry (11 citations). Patrick T.W. Law has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Joseph J.�Y. Sung, Hoi Shan Kwan, David Ka‐Wai Yeung, Angel Mei–Ling Chim, Chiu‐Wing Winnie Chu, Tommy Tsan‐Yuk Lam, Henry Lik‐Yuen Chan, Jun Yu, Grace Lai–Hung Wong and Vincent Wai‐Sun Wong. Their work appears in journals such as Genomics, Journal of Cellular Biochemistry, Scientific Reports, Toxicology and Journal of Allergy and Clinical Immunology.
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.