KH Chan
Impact in
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Kwok‐Yung Yuen (3 shared papers)Yi Guan (2 shared papers)W. Lim (2 shared papers)Leo L. M. Poon (2 shared papers)Malik Peiris (2 shared papers)Vincent Chi‐Chung Cheng (2 shared papers)John M. Nicholls (1 shared paper)WW Yan (1 shared paper)
In The Last Decade
KH Chan
10 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Infectious Diseases 3.3k
- Modeling and Simulation 520
- Animal Science and Zoology 1.1k
- General Dentistry 45
- Epidemiology 612
Countries citing papers authored by KH Chan
This map shows the geographic impact of KH Chan'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 KH Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KH Chan more than expected).
Fields of papers citing papers by KH Chan
This network shows the impact of papers produced by KH Chan. 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 KH Chan. The network helps show where KH Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside KH Chan, 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 | Coronavirus as a possible cause of severe acute respiratory syndrome Hit paper breakdown → | 2003 | 2173 |
| 2 | Isolation and Characterization of Viruses Related to the SARS Coronavirus from Animals in Southern China Hit paper breakdown → | 2003 | 1670 |
| 3 | 2020 | 181 | |
| 4 | 2012 | 78 | |
| 5 | An empirical study of the impact of intellectual capital performance on business performance | 2010 | 22 |
| 6 | 2006 | 10 | |
| 7 | 2007 | 3 | |
| 8 | Recruitment of stroke patients for acute therapy in Hong Kong - Experience from a teaching hospital | 2000 | 1 |
| 9 | Management of Gastrostomy Sites in Institutionalised Children with Severe Neurological Impairment | 2006 | 1 |
| 10 | The relationship between Knowledge Management and Intellectual Capital in listed companies of mainland China | 2011 | 1 |
About KH Chan
KH Chan is a scholar working on Infectious Diseases, Epidemiology, Surgery, Strategy and Management and General Dentistry, having authored 10 papers that have together received 4.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Social and Intergroup Psychology (1 paper), Child Nutrition and Feeding Issues (1 paper), Clinical practice guidelines implementation (1 paper), Advanced Chemical Physics Studies (1 paper), Animal Virus Infections Studies (1 paper), Ethics in Business and Education (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Infectious Diseases (3.3k citations), Modeling and Simulation (520 citations), Animal Science and Zoology (1.1k citations), General Dentistry (45 citations) and Epidemiology (612 citations). KH Chan has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Kwok‐Yung Yuen, Yi Guan, W. Lim, Leo L. M. Poon, Malik Peiris, Vincent Chi‐Chung Cheng, John M. Nicholls, WW Yan, TK Ng and Dnc Tsang. Their work appears in journals such as Journal of Hospital Infection, International Journal of STD & AIDS, Journal of Business Research, Science and Canadian Journal of Chemistry.
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.