Sin Fun Sia

23 papers and 2.7k indexed citations i.

About

Sin Fun Sia is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Sin Fun Sia has authored 23 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 10 papers in Infectious Diseases and 8 papers in Immunology. Recurrent topics in Sin Fun Sia’s work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (9 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Sin Fun Sia is often cited by papers focused on Influenza Virus Research Studies (16 papers), Respiratory viral infections research (9 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Sin Fun Sia collaborates with scholars based in Hong Kong, China and United States. Sin Fun Sia's co-authors include Malik Peiris, Hui‐Ling Yen, John M. Nicholls, Prathanporn Kaewpreedee, Leo L. M. Poon, YL Lau, Mcw Chan, Ka-Tim Choy, Peter Pak‐Hang Cheung and Alex W. H. Chin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Sin Fun Sia i

Fields of papers citing papers by Sin Fun Sia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin Fun Sia. 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 Sin Fun Sia. The network helps show where Sin Fun Sia may publish in the future.

Countries citing papers authored by Sin Fun Sia

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025