Sunghwan Sohn

118 papers and 4.0k indexed citations i.

About

Sunghwan Sohn is a scholar working on Artificial Intelligence, Molecular Biology and Physiology. According to data from OpenAlex, Sunghwan Sohn has authored 118 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 36 papers in Molecular Biology and 20 papers in Physiology. Recurrent topics in Sunghwan Sohn’s work include Biomedical Text Mining and Ontologies (36 papers), Topic Modeling (22 papers) and Machine Learning in Healthcare (22 papers). Sunghwan Sohn is often cited by papers focused on Biomedical Text Mining and Ontologies (36 papers), Topic Modeling (22 papers) and Machine Learning in Healthcare (22 papers). Sunghwan Sohn collaborates with scholars based in United States, South Korea and Belarus. Sunghwan Sohn's co-authors include Hongfang Liu, Christopher G. Chute, Guergana Savova, James Masanz, Philip V. Ogren, Jiaping Zheng, Sijia Liu, Yanshan Wang, Feichen Shen and Liwei Wang and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Journal of Bone and Joint Surgery.

In The Last Decade

Co-authorship network of co-authors of Sunghwan Sohn i

Fields of papers citing papers by Sunghwan Sohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sunghwan Sohn

Since Specialization
Citations

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