Pak‐To Chan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Infection Control and Ventilation
- Respiratory Support and Mechanisms
Papers in
-
- Infection Control and Ventilation 9
- Respiratory Support and Mechanisms 1
-
- COVID-19 epidemiological studies 5
- Co-authors
- Yuguo Li (10 shared papers)Nan Zhang (4 shared papers)Wenzhao Chen (4 shared papers)Hui‐Ling Yen (1 shared paper)Julian W. Tang (1 shared paper)Peihua Wang (4 shared papers)Te Miao (5 shared papers)Pengcheng Zhao (4 shared papers)
- Journals
- Building and Environment (3 papers)International Journal of Environmental Research and Public Health (2 papers)Journal of Hazardous Materials (2 papers)Scientific Reports (1 paper)Indoor Air (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Pak‐To Chan
13 papers receiving 423 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 64
- Pulmonary and Respiratory Medicine 295
- Critical Care and Intensive Care Medicine 29
- Infectious Diseases 80
- Speech and Hearing 26
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 | 114 | |
| 2 | 2020 | 88 | |
| 3 | 2020 | 40 | |
| 4 | 2021 | 39 | |
| 5 | 2019 | 39 | |
| 6 | 2021 | 35 | |
| 7 | 2020 | 21 | |
| 8 | 1981 | 19 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 11 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 2 | |
| 13 | 1981 | 1 |
About Pak‐To Chan
Pak‐To Chan is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Infectious Diseases, Health, Toxicology and Mutagenesis and Surgery, having authored 13 papers that have together received 430 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), Vitamin K Research Studies (1 paper), SARS-CoV-2 detection and testing (1 paper), Respiratory Support and Mechanisms (1 paper) and Water Systems and Optimization (1 paper). The work is most often cited by research in Modeling and Simulation (64 citations), Pulmonary and Respiratory Medicine (295 citations), Critical Care and Intensive Care Medicine (29 citations), Infectious Diseases (80 citations) and Speech and Hearing (26 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 W. Tang, Peihua Wang, Te Miao, Pengcheng Zhao, Boni Su and Gavin M. Joynt. Their work appears in journals such as Building and Environment, International Journal of Environmental Research and Public Health, Journal of Hazardous Materials, Scientific Reports and Indoor Air.
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.