Woo‐Sik Son

20 papers and 293 indexed citations i.

About

Woo‐Sik Son is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Woo‐Sik Son has authored 20 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 9 papers in Modeling and Simulation and 7 papers in Epidemiology. Recurrent topics in Woo‐Sik Son’s work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Woo‐Sik Son is often cited by papers focused on COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Woo‐Sik Son collaborates with scholars based in South Korea and United States. Woo‐Sik Son's co-authors include Young-Jai Park, Okyu Kwon, Ji‐Eun Park, Soo Beom Choi, Insung Ahn, Dong‐Uk Hwang, Jung-Wan Ryu, Soo-Young Lee, Chil-Min Kim and Yun Soo Myung and has published in prestigious journals such as Scientific Reports, Journal of High Energy Physics and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Woo‐Sik Son i

Fields of papers citing papers by Woo‐Sik Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Sik Son. 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 Woo‐Sik Son. The network helps show where Woo‐Sik Son may publish in the future.

Countries citing papers authored by Woo‐Sik Son

Since Specialization
Citations

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