Kah Kee Tan
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- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 2
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- Respiratory viral infections research 7
- Pneumonia and Respiratory Infections 6
- Influenza Virus Research Studies 4
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- Bacterial Infections and Vaccines 2
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- Vaccine Coverage and Hesitancy 2
- Co-authors
- Kurubaran GanasegeranSami Abdo Radman Al‐DubaiWan Ying GanDavid NgK. E. ChooW A AriffinYanee HutagalungLee Gaik Chan
- Journals
- Frontiers in Immunology (1 paper)Emerging infectious diseases (1 paper)Journal of Epidemiology & Community Health (1 paper)
- Partner nations
- MalaysiaUnited StatesIreland
In The Last Decade
Kah Kee Tan
29 papers receiving 257 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 89
- Epidemiology 131
- Microbiology 23
- Modeling and Simulation 16
- Virology 11
Countries citing papers authored by Kah Kee Tan
This map shows the geographic impact of Kah Kee Tan'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 Kah Kee Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kah Kee Tan more than expected).
Fields of papers citing papers by Kah Kee Tan
This network shows the impact of papers produced by Kah Kee Tan. 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 Kah Kee Tan. The network helps show where Kah Kee Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kah Kee Tan, 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 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 1 | |
| 10 | Parental preferences with regards to disclosure following adverse events occurring in relation to medication use or diagnosis in the care of their children - perspectives from Malaysia. | 2016 | 1 |
| 11 | 2015 | 30 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 15 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 35 | |
| 16 | 2011 | 15 | |
| 17 | 2008 | 1 | |
| 18 | 1999 | 6 | |
| 19 | 1994 | 3 | |
| 20 | 1990 | 12 |
About Kah Kee Tan
Kah Kee Tan is a scholar working on Infectious Diseases, Microbiology and Modeling and Simulation, having authored 29 papers that have together received 274 indexed citations. Recurring topics across this work include Respiratory viral infections research (7 papers), Pneumonia and Respiratory Infections (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Influenza Virus Research Studies (4 papers), COVID-19 Clinical Research Studies (3 papers), Vaccine Coverage and Hesitancy (2 papers), Bacterial Infections and Vaccines (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (89 citations), Epidemiology (131 citations) and Microbiology (23 citations). Kah Kee Tan has collaborated with scholars based in Malaysia, United States and Ireland. Frequent co-authors include Kurubaran Ganasegeran, Sami Abdo Radman Al‐Dubai, Wan Ying Gan, David Ng, K. E. Choo, W A Ariffin, Yanee Hutagalung, Lee Gaik Chan, Alain Bouckenooghe and Craig S. Roberts. Their work appears in journals such as Frontiers in Immunology, Emerging infectious diseases and Journal of Epidemiology & Community Health.
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.