Kin On Kwok
- Modeling and Simulation top 0.1%
- Infectious Diseases top 1%
- Health top 0.5%
- Clinical Psychology top 2%
- Economics and Econometrics top 2%
- Co-authors
- Samuel Yeung Shan WongWan In WeiArthur TangKin‐Kit LiSteven RileyShui Shan LeeJulian W. TangFlorence Lai
- Topics
- COVID-19 epidemiological studies (41 papers)Influenza Virus Research Studies (22 papers)Vaccine Coverage and Hesitancy (17 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Kin On Kwok
86 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Modeling and Simulation 1.2k
- Infectious Diseases 1.1k
- Health 1.0k
- Clinical Psychology 686
- Economics and Econometrics 615
Countries citing papers authored by Kin On Kwok
This map shows the geographic impact of Kin On Kwok'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 Kin On Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin On Kwok more than expected).
Fields of papers citing papers by Kin On Kwok
This network shows the impact of papers produced by Kin On Kwok. 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 Kin On Kwok. The network helps show where Kin On Kwok may publish in the future.
Co-authorship network of co-authors of Kin On Kwok
This figure shows the co-authorship network connecting the top 25 collaborators of Kin On Kwok. A scholar is included among the top collaborators of Kin On Kwok 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 Kin On Kwok. Kin On Kwok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 21 | |
| 4 | 46 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 91 | |
| 9 | 15 | |
| 10 | 29 | |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 208 | |
| 14 | 13 | |
| 15 | 17 | |
| 16 | 19 | |
| 17 | 0 | |
| 18 | 32 | |
| 19 | 11 | |
| 20 | 11 |
About Kin On Kwok
Kin On Kwok is a scholar working on Modeling and Simulation, Health and Health Informatics, having authored 91 papers that have together received 3.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (41 papers), Influenza Virus Research Studies (22 papers) and Vaccine Coverage and Hesitancy (17 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Health (1.0k citations) and Infectious Diseases (1.1k citations). Kin On Kwok has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Samuel Yeung Shan Wong, Wan In Wei, Arthur Tang, Kin‐Kit Li, Steven Riley, Shui Shan Lee, Julian W. Tang, Florence Lai, Jonathan M. Read and Yi Yuan. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and American Journal of Epidemiology.
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.