Won-Sik Yeo

12 total papers · 463 total citations
9 papers, 333 citations indexed

About

Won-Sik Yeo is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Won-Sik Yeo has authored 9 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Won-Sik Yeo's work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Genetics and Biotechnology (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Won-Sik Yeo is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Genetics and Biotechnology (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Won-Sik Yeo collaborates with scholars based in United States, China and South Korea. Won-Sik Yeo's co-authors include Taeok Bae, Quanjiang Ji, Yifei Zhang, Weizhong Chen, Hoonsik Cho, Qian Liu, Kyeong Kyu Kim, Rekha Arya, Eric P. Skaar and Hyunyoung Jeong and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Won-Sik Yeo

9 papers receiving 331 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Won-Sik Yeo	252	156	84	43	40	9	333
Julienne C. Kaiser	237 0.9×	151 1.0×	83 1.0×	53 1.2×	30 0.8×	8	376
Jessica King	212 0.8×	190 1.2×	59 0.7×	26 0.6×	42 1.1×	8	348
Marcel Prax	204 0.8×	99 0.6×	115 1.4×	59 1.4×	38 0.9×	14	335
S Nakashima	230 0.9×	207 1.3×	108 1.3×	34 0.8×	46 1.1×	16	382
Thomas Kersten	186 0.7×	133 0.9×	71 0.8×	35 0.8×	30 0.8×	8	397
Nadine Daou	178 0.7×	119 0.8×	58 0.7×	17 0.4×	40 1.0×	8	314
Bartłomiej Salamaga	148 0.6×	117 0.8×	68 0.8×	37 0.9×	46 1.1×	12	299
Fabio Lino Gratani	245 1.0×	132 0.8×	162 1.9×	59 1.4×	33 0.8×	10	331
Mirka E. Wörmann	232 0.9×	128 0.8×	138 1.6×	33 0.8×	74 1.9×	13	387
Tiffany M. Zarrella	207 0.8×	79 0.5×	119 1.4×	26 0.6×	52 1.3×	9	300

Countries citing papers authored by Won-Sik Yeo

Since Specialization

Citations

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

Fields of papers citing papers by Won-Sik Yeo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won-Sik Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Won-Sik Yeo. A scholar is included among the top collaborators of Won-Sik Yeo 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 Won-Sik Yeo. Won-Sik Yeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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