Sunkuk Kwon

44 papers and 1.7k indexed citations i.

About

Sunkuk Kwon is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Sunkuk Kwon has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 13 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Sunkuk Kwon’s work include Lymphatic System and Diseases (22 papers), Sympathectomy and Hyperhidrosis Treatments (9 papers) and Planarian Biology and Electrostimulation (5 papers). Sunkuk Kwon is often cited by papers focused on Lymphatic System and Diseases (22 papers), Sympathectomy and Hyperhidrosis Treatments (9 papers) and Planarian Biology and Electrostimulation (5 papers). Sunkuk Kwon collaborates with scholars based in United States, China and India. Sunkuk Kwon's co-authors include Eva M. Sevick‐Muraca, John C. Rasmussen, Kristen E. Adams, Michel E. Mawad, Ke Shi, Ke Shi, Germaine D. Agollah, Mary A. Hall, Grace Wu and Melissa B. Aldrich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Sunkuk Kwon i

Fields of papers citing papers by Sunkuk Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sunkuk Kwon

Since Specialization
Citations

This map shows the geographic impact of Sunkuk Kwon'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 Sunkuk Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunkuk Kwon 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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2025