Lawrence Mok
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- Virology top 10%
- Rabies epidemiology and control
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 1
- Muscle Physiology and Disorders 1
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- Viral gastroenteritis research and epidemiology 2
- Viral Infections and Vectors 2
- Co-authors
- James W. Wynne (6 shared papers)Mary Tachedjian (4 shared papers)Wojtek P. Michalski (4 shared papers)Lin‐Fa Wang (3 shared papers)Peng Zhou (3 shared papers)Victoria Boyd (3 shared papers)Michelle L. Baker (3 shared papers)Ian H. Mendenhall (1 shared paper)
- Journals
- Genome biology (1 paper)Heliyon (1 paper)PLoS ONE (1 paper)American Journal of Physiology-Cell Physiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
Lawrence Mok
10 papers receiving 335 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 218
- Virology 33
- Ecology, Evolution, Behavior and Systematics 77
- Immunology 76
- Animal Science and Zoology 26
Countries citing papers authored by Lawrence Mok
This map shows the geographic impact of Lawrence Mok'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 Lawrence Mok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Mok more than expected).
Fields of papers citing papers by Lawrence Mok
This network shows the impact of papers produced by Lawrence Mok. 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 Lawrence Mok. The network helps show where Lawrence Mok may publish in the future.
Co-authors
The 25 scholars most cited alongside Lawrence Mok, 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 | 2016 | 228 | |
| 2 | 2014 | 41 | |
| 3 | 2018 | 16 | |
| 4 | 1996 | 16 | |
| 5 | 2014 | 12 | |
| 6 | 2015 | 9 | |
| 7 | 2017 | 6 | |
| 8 | 2015 | 6 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 2 |
About Lawrence Mok
Lawrence Mok is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine and Physiology, having authored 10 papers that have together received 339 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Vectors (2 papers), Animal Virus Infections Studies (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Muscle Physiology and Disorders (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Infectious Diseases (218 citations), Virology (33 citations), Ecology, Evolution, Behavior and Systematics (77 citations), Immunology (76 citations) and Animal Science and Zoology (26 citations). Lawrence Mok has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include James W. Wynne, Mary Tachedjian, Wojtek P. Michalski, Lin‐Fa Wang, Peng Zhou, Victoria Boyd, Michelle L. Baker, Ian H. Mendenhall, Jie Cui and Justin H. J. Ng. Their work appears in journals such as Genome biology, Heliyon, PLoS ONE, American Journal of Physiology-Cell Physiology and Proceedings of the National Academy of Sciences.
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.