KH Chan
- Infectious Diseases top 0.2%
- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
- Tuberculosis Research and Epidemiology 2
- Modeling and Simulation top 0.5%
- Animal Science and Zoology top 1%
- Neurology top 2%
- Epidemiology top 2%
- Influenza Virus Research Studies 3
- Respiratory viral infections research 3
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- Viral Infections and Immunology Research 1
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- Thermal Regulation in Medicine 1
KH Chan
11 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 3.1k
- Modeling and Simulation 553
- Animal Science and Zoology 395
- Neurology 547
- Epidemiology 1.1k
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-authorship network
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 | 2019 | 2 | |
| 2 | Molecular tests for rapid detection of rifampicin and isoniazid resistance in Mycobacterium tuberculosis. | 2015 | 1 |
| 3 | 2010 | 8 | |
| 4 | A comparative study of the stigma associated with infectious diseases (SARS, AIDS, TB). | 2009 | 24 |
| 5 | 2008 | 0 | |
| 6 | Re-emergence of fatal human influenza A subtype H5N1 diseasebreakdown → | 2004 | 645 |
| 7 | 2004 | 98 | |
| 8 | 2004 | 84 | |
| 9 | 2004 | 195 | |
| 10 | Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: a prospective studybreakdown → | 2003 | 1758 |
| 11 | Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People's Republic of China, in February, 2003breakdown → | 2003 | 1082 |
| 12 | Treatment of severe acute respiratory syndrome with lopinavir/ritonavir: a multicentre retrospective matched cohort study. | 2003 | 325 |
About KH Chan
KH Chan is a scholar working on Infectious Diseases, Modeling and Simulation, Critical Care and Intensive Care Medicine, Epidemiology and Animal Science and Zoology, having authored 12 papers that have together received 4.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers), Tuberculosis Research and Epidemiology (2 papers), Viral Infections and Immunology Research (1 paper) and Thermal Regulation in Medicine (1 paper). The work is most often cited by research in Infectious Diseases (3.1k citations), Modeling and Simulation (553 citations), Animal Science and Zoology (395 citations), Neurology (547 citations) and Epidemiology (1.1k citations). KH Chan has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Malik Peiris, Kwok‐Yung Yuen, Yi Guan, Leo L. M. Poon, Chung‐Ming Chu, Vincent Chi‐Chung Cheng, Ivan Fan‐Ngai Hung, KI Law, Qing Chang and Philip H. Li. Their work appears in journals such as The Lancet, Clinical Infectious Diseases, BMJ Open Respiratory Research, Emerging infectious diseases and DMW - Deutsche Medizinische Wochenschrift.
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.