Sin Fun Sia

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 Nicholls, Ka-Tim Choy and YL Lau 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

Fields of papers citing papers by Sin Fun Sia

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Sin Fun Sia. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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