Seong Won

6 papers and 283 indexed citations i.

About

Seong Won is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Seong Won has authored 6 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Oncology. Recurrent topics in Seong Won’s work include Advanced Proteomics Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). Seong Won is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). Seong Won collaborates with scholars based in United States and Ireland. Seong Won's co-authors include Vineet Bafna, Sunghee Woo, Jeremy Carver, Nuno Bandeira, Jian Wang, Mingxun Wang, Benjamin Pullman, Clark C. Guest, Yupeng He and Gennifer E. Merrihew and has published in prestigious journals such as Molecular & Cellular Proteomics, Journal of Proteome Research and PROTEOMICS.

In The Last Decade

Co-authorship network of co-authors of Seong Won i

Fields of papers citing papers by Seong Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seong Won

Since Specialization
Citations

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