Sukhyun Ryu

70 papers and 1.6k indexed citations i.

About

Sukhyun Ryu is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Sukhyun Ryu has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Modeling and Simulation, 29 papers in Infectious Diseases and 21 papers in Epidemiology. Recurrent topics in Sukhyun Ryu’s work include COVID-19 epidemiological studies (29 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Influenza Virus Research Studies (9 papers). Sukhyun Ryu is often cited by papers focused on COVID-19 epidemiological studies (29 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Influenza Virus Research Studies (9 papers). Sukhyun Ryu collaborates with scholars based in South Korea, Hong Kong and United States. Sukhyun Ryu's co-authors include Benjamin J. Cowling, Byung Chul Chun, Huizhi Gao, Eunice Y. C. Shiu, Jessica Y. Wong, Jingyi Xiao, Min Whui Fong, Sheikh Taslim Ali, Jun‐Sik Lim and Eric H. Y. Lau and has published in prestigious journals such as Scientific Reports, The Journal of Infectious Diseases and Emerging infectious diseases.

In The Last Decade

Co-authorship network of co-authors of Sukhyun Ryu i

Fields of papers citing papers by Sukhyun Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukhyun Ryu. 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 Sukhyun Ryu. The network helps show where Sukhyun Ryu may publish in the future.

Countries citing papers authored by Sukhyun Ryu

Since Specialization
Citations

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