Sung Won Han

117 papers and 1.5k indexed citations i.

About

Sung Won Han is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Sung Won Han has authored 117 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Epidemiology and 14 papers in Artificial Intelligence. Recurrent topics in Sung Won Han’s work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers) and Pregnancy and preeclampsia studies (8 papers). Sung Won Han is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers) and Pregnancy and preeclampsia studies (8 papers). Sung Won Han collaborates with scholars based in South Korea, United States and Hong Kong. Sung Won Han's co-authors include Kwok‐Leung Tsui, Judy Zhong, Geum Joon Cho, Iman Osman, Min‐Jeong Oh, Manish K. Aghi, Arman Jahangiri, Richard L. Shapiro, Woo-Seok Shin and Tak Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Sung Won Han i

Fields of papers citing papers by Sung Won Han

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 Sung Won Han. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sung Won Han may publish in the future.

Countries citing papers authored by Sung Won Han

Since Specialization
Citations

This map shows the geographic impact of Sung Won Han'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 Sung Won Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Won Han more than expected).

Rankless by CCL
2025