Seong Won

1.6k total citations
6 papers, 308 citations indexed

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 308 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 Genomics and Phylogenetic Studies (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 Genomics and Phylogenetic Studies (2 papers). Seong Won collaborates with scholars based in United States and Ireland. Seong Won's co-authors include Vineet Bafna, Jian Wang, Nuno Bandeira, Sunghee Woo, Jeremy Carver, Benjamin Pullman, Mingxun Wang, Clark C. Guest, Seungjin Na and Michael J. MacCoss and has published in prestigious journals such as Molecular & Cellular Proteomics, Journal of Proteome Research and PROTEOMICS.

In The Last Decade

Seong Won

6 papers receiving 304 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Seong Won United States	6	269	194	14	13	13	6	308
Leah V. Schaffer United States	12	339 1.3×	317 1.6×	9 0.6×	12 0.9×	18 1.4×	21	487
Sophia Steigerwald Denmark	4	257 1.0×	219 1.1×	16 1.1×	12 0.9×	23 1.8×	10	360
Patricia Hernandez Switzerland	7	309 1.1×	309 1.6×	5 0.4×	8 0.6×	16 1.2×	11	418
Xie‐Xuan Zhou Denmark	4	311 1.2×	276 1.4×	10 0.7×	7 0.5×	15 1.2×	6	380
Simon Perkins United Kingdom	11	333 1.2×	254 1.3×	18 1.3×	18 1.4×	23 1.8×	15	439
Colin Combe United Kingdom	7	411 1.5×	156 0.8×	17 1.2×	6 0.5×	18 1.4×	11	478
Rachel Miller United States	10	306 1.1×	233 1.2×	15 1.1×	27 2.1×	12 0.9×	21	435
Sven Brehmer Germany	6	159 0.6×	138 0.7×	6 0.4×	13 1.0×	8 0.6×	9	231
Zhen-Lin Chen China	5	287 1.1×	106 0.5×	17 1.2×	6 0.5×	17 1.3×	6	385
Roger Olivella Spain	4	277 1.0×	65 0.3×	23 1.6×	12 0.9×	11 0.8×	5	350

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).

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.

Co-authorship network of co-authors of Seong Won

This figure shows the co-authorship network connecting the top 25 collaborators of Seong Won. A scholar is included among the top collaborators of Seong Won based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seong Won. Seong Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Li, Shangzhong, Seong Won, Deniz Baycın Hızal, et al.. (2019). Proteogenomic Annotation of Chinese Hamsters Reveals Extensive Novel Translation Events and Endogenous Retroviral Elements. Journal of Proteome Research. 18(6). 2433–2445. 12 indexed citations

2.

Wang, Mingxun, Jian Wang, Jeremy Carver, et al.. (2018). Assembling the Community-Scale Discoverable Human Proteome. Cell Systems. 7(4). 412–421.e5. 123 indexed citations

3.

Won, Seong, Stefano Bonissone, Seungjin Na, Pavel A. Pevzner, & Vineet Bafna. (2017). The Antibody Repertoire of Colorectal Cancer. Molecular & Cellular Proteomics. 16(12). 2111–2124. 5 indexed citations

4.

Woo, Sunghee, Seong Won, Stefano Bonissone, et al.. (2015). Advanced Proteogenomic Analysis Reveals Multiple Peptide Mutations and Complex Immunoglobulin Peptides in Colon Cancer. Journal of Proteome Research. 14(9). 3555–3567. 28 indexed citations

5.

Woo, Sunghee, Seong Won, Seungjin Na, et al.. (2014). Proteogenomic strategies for identification of aberrant cancer peptides using large‐scale next‐generation sequencing data. PROTEOMICS. 14(23-24). 2719–2730. 54 indexed citations

6.

Woo, Sunghee, Seong Won, Gennifer E. Merrihew, et al.. (2013). Proteogenomic Database Construction Driven from Large Scale RNA-seq Data. Journal of Proteome Research. 13(1). 21–28. 86 indexed citations

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.

Explore authors with similar magnitude of impact