Han Seok Koh

About

Han Seok Koh is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Han Seok Koh has authored 7 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Han Seok Koh’s work include Galectins and Cancer Biology (5 papers), Signaling Pathways in Disease (4 papers) and T-cell and Retrovirus Studies (2 papers). Han Seok Koh is often cited by papers focused on Galectins and Cancer Biology (5 papers), Signaling Pathways in Disease (4 papers) and T-cell and Retrovirus Studies (2 papers). Han Seok Koh collaborates with scholars based in South Korea, United States and United Kingdom. Han Seok Koh's co-authors include Eun Jung Park, Hee Jung Yoon, Chi Young Chang, Sae‐Bom Jeon, Sung Ho Jeon, Hyung-Seok Kim, Randall S. Johnson, In-Hoo Kim, Rho Hyun Seong and Changjin Lee and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Han Seok Koh i

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Fields of papers citing papers by Han Seok Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han Seok Koh. 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 Han Seok Koh. The network helps show where Han Seok Koh may publish in the future.

Countries citing papers authored by Han Seok Koh

Since Specialization

Citations

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