Lawrence Mok
Impact in
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- Virology top 10%
- Rabies epidemiology and control
Papers in
-
- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 3
- Viral gastroenteritis research and epidemiology 2
-
- Signaling Pathways in Disease 1
- Co-authors
- James W. Wynne (6 shared papers)Peng Zhou (3 shared papers)Lin‐Fa Wang (3 shared papers)Victoria Boyd (3 shared papers)Wojtek P. Michalski (4 shared papers)Michelle L. Baker (3 shared papers)Mary Tachedjian (4 shared papers)Gilda Tachedjian (1 shared paper)
- Journals
- Scientific Reports (1 paper)BMC Genomics (1 paper)Journal of General Virology (1 paper)Genome biology (1 paper)Heliyon (1 paper)
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
Lawrence Mok
10 papers receiving 327 citations
Peers
Comparison fields: 5 of 59
- Infectious Diseases 225
- Virology 34
- Ecology, Evolution, Behavior and Systematics 76
- Immunology 77
- Animal Science and Zoology 30
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 | 221 | |
| 2 | 2014 | 41 | |
| 3 | 2018 | 16 | |
| 4 | 1996 | 16 | |
| 5 | 2014 | 12 | |
| 6 | 2015 | 9 | |
| 7 | 2015 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 1 |
About Lawrence Mok
Lawrence Mok is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Cardiology and Cardiovascular Medicine and Virology, having authored 10 papers that have together received 331 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Outbreaks Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), interferon and immune responses (1 paper), Signaling Pathways in Disease (1 paper), Rabies epidemiology and control (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Infectious Diseases (225 citations), Virology (34 citations), Ecology, Evolution, Behavior and Systematics (76 citations), Immunology (77 citations) and Animal Science and Zoology (30 citations). Lawrence Mok has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include James W. Wynne, Peng Zhou, Lin‐Fa Wang, Victoria Boyd, Wojtek P. Michalski, Michelle L. Baker, Mary Tachedjian, Gilda Tachedjian, Christopher Cowled and Justin H. J. Ng. Their work appears in journals such as Scientific Reports, BMC Genomics, Journal of General Virology, Genome biology and Heliyon.
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.