Won‐Sik Yeo

22 total papers · 1.1k total citations
15 papers, 862 citations indexed

About

Won‐Sik Yeo is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Won‐Sik Yeo has authored 15 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Infectious Diseases. Recurrent topics in Won‐Sik Yeo's work include Bacterial Genetics and Biotechnology (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Bacterial biofilms and quorum sensing (4 papers). Won‐Sik Yeo is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Bacterial biofilms and quorum sensing (4 papers). Won‐Sik Yeo collaborates with scholars based in United States, South Korea and Spain. Won‐Sik Yeo's co-authors include Jung‐Hye Roe, Taeok Bae, Qian Liu, Joon‐Hee Lee, Joonhee Lee, Kwang Cheol Jeong, Soo Jin Jeon, Klibs N. Galvão, Kyung-Chang Lee and Henry V. Huang and has published in prestigious journals such as Molecular Cell, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Won‐Sik Yeo

13 papers receiving 853 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	433	217	170	170	101	15	862
Donna M. Bates	445 1.0×	169 0.8×	130 0.8×	147 0.9×	86 0.9×	11	709
Adnan Hasona	684 1.6×	192 0.9×	42 0.2×	178 1.0×	55 0.5×	16	962
Martijn Bekker	449 1.0×	143 0.7×	96 0.6×	149 0.9×	57 0.6×	19	715
Haythem Latif	780 1.8×	219 1.0×	54 0.3×	72 0.4×	108 1.1×	13	1.1k
Neil Shearer	299 0.7×	97 0.4×	75 0.4×	62 0.4×	65 0.6×	27	859
George N. Bennett	761 1.8×	209 1.0×	103 0.6×	34 0.2×	50 0.5×	17	1.0k
Clemente I. Montero	452 1.0×	104 0.5×	93 0.5×	35 0.2×	44 0.4×	18	756
Nadine Taudte	229 0.5×	132 0.6×	69 0.4×	27 0.2×	39 0.4×	15	804
Pascale de Philip	251 0.6×	54 0.2×	33 0.2×	69 0.4×	91 0.9×	24	814
Roslyn N. Brown	318 0.7×	112 0.5×	48 0.3×	72 0.4×	153 1.5×	21	780

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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