Yoon‐Seok Chung

118 total papers · 2.8k total citations
69 papers, 1.9k citations indexed

About

Yoon‐Seok Chung is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Yoon‐Seok Chung has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Infectious Diseases, 32 papers in Epidemiology and 15 papers in Virology. Recurrent topics in Yoon‐Seok Chung's work include Respiratory viral infections research (15 papers), Viral gastroenteritis research and epidemiology (15 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Yoon‐Seok Chung is often cited by papers focused on Respiratory viral infections research (15 papers), Viral gastroenteritis research and epidemiology (15 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Yoon‐Seok Chung collaborates with scholars based in South Korea, United States and United Kingdom. Yoon‐Seok Chung's co-authors include Myung Guk Han, Heui Man Kim, Jeong‐Min Kim, Nam‐Joo Lee, Sang Hee Woo, Hye Jun Jo, John Archer, Michael H. Malim, Steven M. Wolinsky and Ramón Lorenzo-Redondo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Yoon‐Seok Chung

63 papers receiving 1.8k citations

Hit Papers

Persistent HIV-1 replicat... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yoon‐Seok Chung 1.1k 534 389 316 259 69 1.9k
Jeroen J. A. van Kampen 1.1k 1.0× 322 0.6× 471 1.2× 379 1.2× 201 0.8× 90 2.2k
Pierre Frange 1.4k 1.2× 612 1.1× 708 1.8× 265 0.8× 456 1.8× 95 2.7k
Jay S. Epstein 749 0.7× 678 1.3× 754 1.9× 455 1.4× 432 1.7× 113 2.8k
Thushan I. de Silva 1.3k 1.2× 351 0.7× 487 1.3× 357 1.1× 353 1.4× 90 2.1k
Bárbara Schmidt 1.2k 1.1× 914 1.7× 370 1.0× 285 0.9× 515 2.0× 109 2.3k
Benoît Visseaux 1.3k 1.1× 450 0.8× 676 1.7× 216 0.7× 119 0.5× 122 1.9k
David J. Gocke 889 0.8× 274 0.5× 1.1k 2.7× 251 0.8× 244 0.9× 54 2.4k
Laurence Baril 1.0k 0.9× 252 0.5× 682 1.8× 170 0.5× 208 0.8× 74 2.4k
John L. Schmitz 658 0.6× 292 0.5× 306 0.8× 217 0.7× 615 2.4× 84 2.4k
Slim Fourati 942 0.8× 431 0.8× 476 1.2× 193 0.6× 150 0.6× 93 1.6k

Countries citing papers authored by Yoon‐Seok Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yoon‐Seok Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon‐Seok Chung

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