Young S. Lyoo

1.8k total citations
65 papers, 1.4k citations indexed

About

Young S. Lyoo is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Young S. Lyoo has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Animal Science and Zoology, 34 papers in Infectious Diseases and 31 papers in Genetics. Recurrent topics in Young S. Lyoo's work include Animal Virus Infections Studies (41 papers), Viral gastroenteritis research and epidemiology (34 papers) and Virus-based gene therapy research (31 papers). Young S. Lyoo is often cited by papers focused on Animal Virus Infections Studies (41 papers), Viral gastroenteritis research and epidemiology (34 papers) and Virus-based gene therapy research (31 papers). Young S. Lyoo collaborates with scholars based in South Korea, United States and Canada. Young S. Lyoo's co-authors include Sung J. Yoo, Taeyong Kwon, Choi‐Kyu Park, Dong‐Uk Lee, Sun-Young Sunwoo, Prem S. Paul, Hee‐Myung Park, Seong‐Hee Kim, Kyoung-Ki Lee and Dong‐In Jung and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Young S. Lyoo

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young S. Lyoo South Korea 21 809 758 528 393 229 65 1.4k
Dianjun Cao United States 25 1.0k 1.3× 595 0.8× 345 0.7× 294 0.7× 75 0.3× 47 1.5k
Shixing Yang China 20 665 0.8× 478 0.6× 207 0.4× 247 0.6× 102 0.4× 84 1.1k
Junsuke Shirai Japan 15 597 0.7× 493 0.7× 173 0.3× 260 0.7× 187 0.8× 77 879
Yuta Kanai Japan 16 706 0.9× 277 0.4× 147 0.3× 236 0.6× 69 0.3× 52 900
Pavel Iša Mexico 20 936 1.2× 416 0.5× 338 0.6× 304 0.8× 69 0.3× 42 1.4k
S M Matsui United States 17 1.0k 1.3× 554 0.7× 366 0.7× 384 1.0× 49 0.2× 19 1.1k
Marta Sabara Canada 18 779 1.0× 397 0.5× 363 0.7× 226 0.6× 116 0.5× 45 1.1k
Karol Sestak United States 23 936 1.2× 566 0.7× 228 0.4× 343 0.9× 25 0.1× 55 1.7k
Carole Simard Canada 18 512 0.6× 225 0.3× 125 0.2× 157 0.4× 147 0.6× 25 875
Alessandra Cavalli Italy 29 2.2k 2.7× 2.0k 2.7× 1.9k 3.5× 428 1.1× 79 0.3× 76 2.8k

Countries citing papers authored by Young S. Lyoo

Since Specialization
Citations

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

Fields of papers citing papers by Young S. Lyoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young S. Lyoo. 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 Young S. Lyoo. The network helps show where Young S. Lyoo may publish in the future.

Co-authorship network of co-authors of Young S. Lyoo

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

All Works

20 of 20 papers shown
1.
Park, Jong-Hyun, Kyoung-Ki Lee, Hye-Young Jeoung, et al.. (2023). Genetic Characterization and Evolution of Porcine Deltacoronavirus Isolated in the Republic of Korea in 2022. Pathogens. 12(5). 686–686. 2 indexed citations
2.
Park, Jong-Hyun, et al.. (2022). Simple and rapid colorimetric detection of African swine fever virus by loop-mediated isothermal amplification assay using a hydroxynaphthol blue metal indicator. Korean Journal of Veterinary Service. 45(1). 19–30. 1 indexed citations
4.
Park, Jong-Hyun, Jong‐Min Kim, Kyoung-Ki Lee, et al.. (2021). Detection of a novel porcine circovirus 4 in Korean pig herds using a loop-mediated isothermal amplification assay. Journal of Virological Methods. 299. 114350–114350. 30 indexed citations
5.
Kim, Jong‐Min, Ji-Young Park, Seong‐Hee Kim, et al.. (2021). A simple colorimetric detection of porcine epidemic diarrhea virus by reverse transcription loop-mediated isothermal amplification assay using hydroxynaphthol blue metal indicator. Journal of Virological Methods. 298. 114289–114289. 15 indexed citations
6.
Ku, Bok‐Kyung, Jin‐Ju Nah, Soyoon Ryoo, et al.. (2020). Probe‐based real‐time reverse transcription loop‐mediated isothermal amplification (RRT‐LAMP) assay for rapid and specific detection of foot‐and‐mouth disease virus. Transboundary and Emerging Diseases. 67(6). 2936–2945. 11 indexed citations
7.
Park, Ji Young, et al.. (2020). Advanced target‐specific probe‐based real‐time loop‐mediated isothermal amplification assay for the rapid and specific detection of porcine circovirus 3. Transboundary and Emerging Diseases. 67(6). 2336–2344. 10 indexed citations
8.
Kwon, Taeyong, Sung J. Yoo, Dong‐Uk Lee, et al.. (2018). Differential evolution of antigenic regions of porcine reproductive and respiratory syndrome virus 1 before and after vaccine introduction. Virus Research. 260. 12–19. 15 indexed citations
9.
Park, Yu‐Ri, Minji Park, Ji-Young Park, et al.. (2017). Multiplex real-time polymerase chain reaction for the differential detection of porcine circovirus 2 and 3. Journal of Virological Methods. 250. 11–16. 42 indexed citations
10.
Lee, Dong‐Uk, et al.. (2016). Genetic diversity of ORF 4–6 of type 1 porcine reproductive and respiratory syndrome virus in naturally infected pigs. Veterinary Microbiology. 199. 54–61. 11 indexed citations
11.
12.
Yoo, Sung J., et al.. (2015). A novel porcine bocavirus harbors a variant NP gene. SpringerPlus. 4(1). 370–370. 13 indexed citations
13.
Seo, Sang Won, et al.. (2012). Detection of antibodies against classical swine fever virus in fecal samples from wild boar. Veterinary Microbiology. 161(1-2). 218–221. 12 indexed citations
14.
Sunwoo, Sun-Young, et al.. (2011). Genetic characterization of H7N2 influenza virus isolated from pigs. Veterinary Microbiology. 153(3-4). 393–397. 35 indexed citations
16.
Lee, Seung Yoon, et al.. (2006). Serological and genetic characterization of the European strain of the porcine reproductive and respiratory syndrome virus isolated in Korea. 46(4). 363–370. 24 indexed citations
17.
Lyoo, Young S., et al.. (2001). Notes : Antibacterial Compound against Pasturella multocida and Actinobacillus pleuropneumoniae Causing Porcine Pneumonia. Journal of Microbiology and Biotechnology. 11(2). 350–353. 1 indexed citations
18.
‍Kim, Do Young, et al.. (1998). Detection of Akabane Virus Antigen from Aborted Fetal Calf Brain Tissue by Immunohistochemistry. 한국임상수의학회지. 15(1). 100–103. 1 indexed citations
19.
Paul, Prem S. & Young S. Lyoo. (1993). Immunogens of rotaviruses. Veterinary Microbiology. 37(3-4). 299–317. 19 indexed citations
20.
Paul, Prem S., et al.. (1988). High-resolution chromatography of nucleic acids on the gen-pak fax column. Journal of Chromatography A. 444. 47–65. 25 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.

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