Pak‐To Chan
- Pulmonary and Respiratory Medicine top 10%
- Infectious Diseases
- Modeling and Simulation top 5%
- Health, Toxicology and Mutagenesis
- Oncology
- Topics
- Infection Control and Ventilation (9 papers)COVID-19 epidemiological studies (5 papers)Infection Control in Healthcare (3 papers)
- Cited by
- Modeling and SimulationPulmonary and Respiratory MedicineCritical Care and Intensive Care Medicine
- Journals
- Journal of Hazardous MaterialsScientific ReportsInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Pak‐To Chan
13 papers receiving 406 citations
Peers
Comparison fields: 5 of 96
- Pulmonary and Respiratory Medicine 308
- Infectious Diseases 88
- Modeling and Simulation 73
- Health, Toxicology and Mutagenesis 52
- Oncology 46
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-authorship network of co-authors of Pak‐To Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Pak‐To Chan. A scholar is included among the top collaborators of Pak‐To Chan 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 Pak‐To Chan. Pak‐To Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 39 | |
| 5 | 34 | |
| 6 | 21 | |
| 7 | 87 | |
| 8 | 37 | |
| 9 | 38 | |
| 10 | 109 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 1 |
About Pak‐To Chan
Pak‐To Chan is a scholar working on Modeling and Simulation, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 13 papers that have together received 417 indexed citations. Recurring topics across this work include Infection Control and Ventilation (9 papers), COVID-19 epidemiological studies (5 papers) and Infection Control in Healthcare (3 papers). The work is most often cited by research in Modeling and Simulation (73 citations), Pulmonary and Respiratory Medicine (308 citations) and Critical Care and Intensive Care Medicine (33 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, Julian W. Tang, Hui‐Ling Yen, Peihua Wang, Te Miao, Pengcheng Zhao, Wei Jia and C Leung. Their work appears in journals such as Journal of Hazardous Materials, Scientific Reports 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.