King Pan Chan

18 papers and 874 indexed citations i.

About

King Pan Chan is a scholar working on Epidemiology, Health, Toxicology and Mutagenesis and Modeling and Simulation. According to data from OpenAlex, King Pan Chan has authored 18 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Health, Toxicology and Mutagenesis and 6 papers in Modeling and Simulation. Recurrent topics in King Pan Chan’s work include Influenza Virus Research Studies (12 papers), Climate Change and Health Impacts (7 papers) and COVID-19 epidemiological studies (6 papers). King Pan Chan is often cited by papers focused on Influenza Virus Research Studies (12 papers), Climate Change and Health Impacts (7 papers) and COVID-19 epidemiological studies (6 papers). King Pan Chan collaborates with scholars based in Hong Kong, China and United Kingdom. King Pan Chan's co-authors include Chit Ming Wong, Lin Yang, Malik Peiris, TH Lam, TQ Thach, G. Neil Thomas, Hak Kan Lai, Anthony J. Hedley, Kwok Hung Chan and Hubert Lam and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Health Perspectives.

In The Last Decade

Co-authorship network of co-authors of King Pan Chan i

Fields of papers citing papers by King Pan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King Pan 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 King Pan Chan. The network helps show where King Pan Chan may publish in the future.

Countries citing papers authored by King Pan Chan

Since Specialization
Citations

This map shows the geographic impact of King Pan 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 King Pan Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King Pan 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