C.S. Lau
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- SARS-CoV-2 detection and testing 6
- SARS-CoV-2 and COVID-19 Research 6
-
- Biosensors and Analytical Detection 4
- Co-authors
- Peter K.C. Cheng (3 shared papers)Wilina Lim (3 shared papers)Derek A. Wong (1 shared paper)Eugene Y. H. Yeung (1 shared paper)Sin-Ming Ip (1 shared paper)Ann H. Wong (2 shared papers)Stephen S. Y. Lau (5 shared papers)Kitty K.Y. Wong (5 shared papers)
- Journals
- Journal of Medical Virology (2 papers)Journal of Clinical Virology (2 papers)The Lancet (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- China
In The Last Decade
C.S. Lau
8 papers receiving 356 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 280
- Modeling and Simulation 52
- General Dentistry 8
- Neurology 34
- Epidemiology 62
Countries citing papers authored by C.S. Lau
This map shows the geographic impact of C.S. Lau'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 C.S. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.S. Lau more than expected).
Fields of papers citing papers by C.S. Lau
This network shows the impact of papers produced by C.S. Lau. 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 C.S. Lau. The network helps show where C.S. Lau may publish in the future.
Co-authors
The 14 scholars most cited alongside C.S. Lau, 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 | 2004 | 231 | |
| 2 | 2020 | 59 | |
| 3 | 2011 | 45 | |
| 4 | 2010 | 16 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 2 |
About C.S. Lau
C.S. Lau is a scholar working on Infectious Diseases, Biomedical Engineering, Epidemiology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 367 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Biosensors and Analytical Detection (4 papers), Respiratory viral infections research (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), COVID-19 diagnosis using AI (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Infectious Diseases (280 citations), Modeling and Simulation (52 citations), General Dentistry (8 citations), Neurology (34 citations) and Epidemiology (62 citations). C.S. Lau has collaborated with scholars based in China. Frequent co-authors include Peter K.C. Cheng, Wilina Lim, Derek A. Wong, Eugene Y. H. Yeung, Sin-Ming Ip, Ann H. Wong, Stephen S. Y. Lau, Kitty K.Y. Wong, Gannon C.K. Mak and Dominic N.C. Tsang. Their work appears in journals such as Journal of Medical Virology, Journal of Clinical Virology, The Lancet, Diagnostic Microbiology and Infectious Disease and SHILAP Revista de lepidopterología.
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.