Shuk-Kwan Chuang
- Epidemiology top 10%
- Modeling and Simulation top 1%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Thomas TsangBenjamin J. CowlingLM HoJoseph T. WuDkm IpSu‐Vui LoEric H. Y. LauSteven Riley
- Topics
- Influenza Virus Research Studies (7 papers)COVID-19 epidemiological studies (6 papers)Respiratory viral infections research (5 papers)
- Journals
- Journal of Hazardous MaterialsThe Journal of Infectious DiseasesEmerging infectious diseases
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shuk-Kwan Chuang
20 papers receiving 660 citations
Peers
Comparison fields: 5 of 82
- Epidemiology 369
- Modeling and Simulation 284
- Infectious Diseases 267
- Public Health, Environmental and Occupational Health 118
- Molecular Biology 70
Countries citing papers authored by Shuk-Kwan Chuang
This map shows the geographic impact of Shuk-Kwan Chuang'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 Shuk-Kwan Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuk-Kwan Chuang more than expected).
Fields of papers citing papers by Shuk-Kwan Chuang
This network shows the impact of papers produced by Shuk-Kwan Chuang. 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 Shuk-Kwan Chuang. The network helps show where Shuk-Kwan Chuang may publish in the future.
Co-authorship network of co-authors of Shuk-Kwan Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuk-Kwan Chuang. A scholar is included among the top collaborators of Shuk-Kwan Chuang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuk-Kwan Chuang. Shuk-Kwan Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 31 | |
| 11 | 45 | |
| 12 | 7 | |
| 13 | 111 | |
| 14 | 5 | |
| 15 | Scarlet Fever Epidemic | 7 |
| 16 | 80 | |
| 17 | 182 | |
| 18 | 77 | |
| 19 | 26 | |
| 20 | A fatal case of Chromobacterium violaceum septicemia in Hong Kong. | 2 |
About Shuk-Kwan Chuang
Shuk-Kwan Chuang is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 20 papers that have together received 681 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (6 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Modeling and Simulation (284 citations), Infectious Diseases (267 citations) and Epidemiology (369 citations). Shuk-Kwan Chuang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Thomas Tsang, Benjamin J. Cowling, LM Ho, Joseph T. Wu, Dkm Ip, Su‐Vui Lo, Eric H. Y. Lau, Steven Riley, Edward Goldstein and Peng Wu. Their work appears in journals such as Journal of Hazardous Materials, The Journal of Infectious Diseases and Emerging infectious diseases.
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.