Song Seok Shin

67 papers and 1.3k indexed citations i.

About

Song Seok Shin is a scholar working on Molecular Biology, Cell Biology and Dermatology. According to data from OpenAlex, Song Seok Shin has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Cell Biology and 15 papers in Dermatology. Recurrent topics in Song Seok Shin’s work include melanin and skin pigmentation (17 papers), Skin Protection and Aging (12 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Song Seok Shin is often cited by papers focused on melanin and skin pigmentation (17 papers), Skin Protection and Aging (12 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Song Seok Shin collaborates with scholars based in South Korea, United States and Japan. Song Seok Shin's co-authors include Ho Sik Rho, Jae Youl Cho, Yong Deog Hong, Heung Soo Baek, Juewon Kim, Young Hoon Joo, Eunji Kim, Dae Bang Seo, Su Hwan Kim and Yeon Su Jeong and has published in prestigious journals such as Scientific Reports, Journal of Colloid and Interface Science and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Song Seok Shin i

Fields of papers citing papers by Song Seok Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Seok Shin

Since Specialization
Citations

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