Pak‐To Chan

13 papers and 359 indexed citations i.

About

Pak‐To Chan is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Pak‐To Chan has authored 13 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 5 papers in Modeling and Simulation and 4 papers in Infectious Diseases. Recurrent topics in Pak‐To Chan’s work include Infection Control and Ventilation (9 papers), COVID-19 epidemiological studies (5 papers) and Infection Control in Healthcare (3 papers). Pak‐To Chan is often cited by papers focused on Infection Control and Ventilation (9 papers), COVID-19 epidemiological studies (5 papers) and Infection Control in Healthcare (3 papers). Pak‐To Chan collaborates with scholars based in Hong Kong, China and United Kingdom. Pak‐To Chan's co-authors include Yuguo Li, Nan Zhang, Wenzhao Chen, Julian W. Tang, Hui‐Ling Yen, Pengcheng Zhao, Peihua Wang, Te Miao, Philip C.W. Lui and Gavin M. Joynt and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Pak‐To Chan i

Fields of papers citing papers by Pak‐To Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Pak‐To Chan

Since Specialization
Citations

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).

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.

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2025