Pak‐To Chan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Infection Control and Ventilation
- Respiratory Support and Mechanisms
Papers in
-
- COVID-19 epidemiological studies 5
-
- Infection Control and Ventilation 9
- Co-authors
- Yuguo Li (10 shared papers)Nan Zhang (4 shared papers)Wenzhao Chen (4 shared papers)Hui‐Ling Yen (1 shared paper)Julian Wei-Tze Tang (1 shared paper)Pengcheng Zhao (4 shared papers)Peihua Wang (4 shared papers)Te Miao (5 shared papers)
- Journals
- Building and Environment (3 papers)Journal of Hazardous Materials (2 papers)International Journal of Environmental Research and Public Health (2 papers)British Journal of Haematology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Pak‐To Chan
13 papers receiving 466 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 72
- Pulmonary and Respiratory Medicine 317
- Critical Care and Intensive Care Medicine 30
- Infectious Diseases 90
- Health, Toxicology and Mutagenesis 60
Countries citing papers authored by Pak‐To Chan
This map shows the geographic impact of Pak‐To 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 Pak‐To Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pak‐To Chan more than expected).
Fields of papers citing papers by Pak‐To Chan
This network shows the impact of papers produced by Pak‐To 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 Pak‐To Chan. The network helps show where Pak‐To Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pak‐To 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 | 2018 | 133 | |
| 2 | 2020 | 94 | |
| 3 | 2021 | 46 | |
| 4 | 2020 | 43 | |
| 5 | 2019 | 41 | |
| 6 | 2021 | 39 | |
| 7 | 2020 | 21 | |
| 8 | 1981 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 12 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 1981 | 1 |
About Pak‐To Chan
Pak‐To Chan is a scholar working on Modeling and Simulation, Pulmonary and Respiratory Medicine, Infectious Diseases, Health, Toxicology and Mutagenesis and Virology, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Infection Control and Ventilation (9 papers), COVID-19 epidemiological studies (5 papers), Infection Control in Healthcare (3 papers), Indoor Air Quality and Microbial Exposure (2 papers), COVID-19 impact on air quality (1 paper), Rabies epidemiology and control (1 paper), Water Systems and Optimization (1 paper) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Modeling and Simulation (72 citations), Pulmonary and Respiratory Medicine (317 citations), Critical Care and Intensive Care Medicine (30 citations), Infectious Diseases (90 citations) and Health, Toxicology and Mutagenesis (60 citations). Pak‐To Chan has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Yuguo Li, Nan Zhang, Wenzhao Chen, Hui‐Ling Yen, Julian Wei-Tze Tang, Pengcheng Zhao, Peihua Wang, Te Miao, Lowell Ling and Czarina C.H. Leung. Their work appears in journals such as Building and Environment, Journal of Hazardous Materials, International Journal of Environmental Research and Public Health, British Journal of Haematology and International Journal of Radiation Oncology*Biology*Physics.
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.