Soon‐Seek Yoon

144 total papers · 1.4k total citations
99 papers, 1.0k citations indexed

About

Soon‐Seek Yoon is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Soon‐Seek Yoon has authored 99 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 20 papers in Ecology, Evolution, Behavior and Systematics and 20 papers in Genetics. Recurrent topics in Soon‐Seek Yoon's work include Antibiotic Resistance in Bacteria (17 papers), Animal Disease Management and Epidemiology (14 papers) and Salmonella and Campylobacter epidemiology (14 papers). Soon‐Seek Yoon is often cited by papers focused on Antibiotic Resistance in Bacteria (17 papers), Animal Disease Management and Epidemiology (14 papers) and Salmonella and Campylobacter epidemiology (14 papers). Soon‐Seek Yoon collaborates with scholars based in South Korea, Vietnam and United States. Soon‐Seek Yoon's co-authors include Suk‐Kyung Lim, Dong Chan Moon, Ji-Hyun Choi, Hyun‐Ju Song, Hee Young Kang, Yi-Seok Joo, Abraham Fikru Mechesso, Jae‐Won Byun, Hachung Yoon and Sujeong Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Soon‐Seek Yoon

96 papers receiving 965 citations

Author Peers

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

Author Last Decade Papers Cites
Soon‐Seek Yoon 387 280 215 190 153 99 1.0k
J. Köfer 407 1.1× 288 1.0× 167 0.8× 147 0.8× 219 1.4× 145 1.2k
Jean‐Pierre Vaillancourt 397 1.0× 408 1.5× 121 0.6× 474 2.5× 249 1.6× 57 1.2k
Andrea Caprioli 737 1.9× 220 0.8× 74 0.3× 222 1.2× 164 1.1× 44 1.2k
Emma Snary 396 1.0× 348 1.2× 216 1.0× 121 0.6× 411 2.7× 61 1.2k
Maria Luisa Marenzoni 286 0.7× 190 0.7× 176 0.8× 83 0.4× 83 0.5× 81 939
Fernando Sánchez‐Vizcaíno 262 0.7× 204 0.7× 155 0.7× 145 0.8× 70 0.5× 44 907
Santiago Vega 427 1.1× 347 1.2× 281 1.3× 145 0.8× 349 2.3× 49 1.1k
Hyuk‐Joon Kwon 434 1.1× 197 0.7× 58 0.3× 227 1.2× 254 1.7× 84 1.2k
Masuo SUEYOSHI 587 1.5× 163 0.6× 89 0.4× 517 2.7× 222 1.5× 87 1.2k
L.J.M. Kusiluka 342 0.9× 315 1.1× 227 1.1× 142 0.7× 76 0.5× 60 1.0k

Countries citing papers authored by Soon‐Seek Yoon

Since Specialization
Citations

This map shows the geographic impact of Soon‐Seek Yoon'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 Soon‐Seek Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soon‐Seek Yoon more than expected).

Fields of papers citing papers by Soon‐Seek Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon‐Seek Yoon. 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 Soon‐Seek Yoon. The network helps show where Soon‐Seek Yoon may publish in the future.

Co-authorship network of co-authors of Soon‐Seek Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Soon‐Seek Yoon. A scholar is included among the top collaborators of Soon‐Seek Yoon 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 Soon‐Seek Yoon. Soon‐Seek Yoon 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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2026