Taeyong Kwon

1.7k total citations
32 papers, 923 citations indexed

About

Taeyong Kwon is a scholar working on Infectious Diseases, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Taeyong Kwon has authored 32 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 14 papers in Agronomy and Crop Science and 13 papers in Animal Science and Zoology. Recurrent topics in Taeyong Kwon's work include Viral gastroenteritis research and epidemiology (16 papers), Animal Disease Management and Epidemiology (14 papers) and Animal Virus Infections Studies (13 papers). Taeyong Kwon is often cited by papers focused on Viral gastroenteritis research and epidemiology (16 papers), Animal Disease Management and Epidemiology (14 papers) and Animal Virus Infections Studies (13 papers). Taeyong Kwon collaborates with scholars based in United States, South Korea and Spain. Taeyong Kwon's co-authors include Sung J. Yoo, Young S. Lyoo, Jüergen A. Richt, Natasha N. Gaudreault, Choi‐Kyu Park, Igor Morozov, Jessie D. Trujillo, Mariano Carossino, Dashzeveg Bold and Daniel W. Madden and has published in prestigious journals such as Nature Communications, PLoS ONE and Virology.

In The Last Decade

Taeyong Kwon

29 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taeyong Kwon United States 15 663 545 277 159 109 32 923
Karla M. Stucker United States 13 388 0.6× 283 0.5× 171 0.6× 127 0.8× 61 0.6× 16 559
Sandra Vreman Netherlands 11 728 1.1× 340 0.6× 58 0.2× 19 0.1× 101 0.9× 22 884
Harini Sooryanarain United States 15 320 0.5× 118 0.2× 78 0.3× 40 0.3× 35 0.3× 23 533
Tania S. Bonny United States 8 304 0.5× 197 0.4× 126 0.5× 41 0.3× 13 0.1× 16 442
Rodrigo Melim Zerbinati Brazil 10 582 0.9× 170 0.3× 41 0.1× 28 0.2× 29 0.3× 19 775
Daniel W. Madden United States 9 545 0.8× 254 0.5× 50 0.2× 210 1.3× 421 3.9× 14 869
Jacob Schön Germany 11 507 0.8× 211 0.4× 55 0.2× 18 0.1× 45 0.4× 21 642
Luciano Kleber de Souza Luna Brazil 15 562 0.8× 172 0.3× 28 0.1× 208 1.3× 28 0.3× 31 741
Melinda Jenkins-Moore United States 11 399 0.6× 233 0.4× 51 0.2× 15 0.1× 131 1.2× 12 715
Longchao Zhu United States 10 328 0.5× 192 0.4× 97 0.4× 52 0.3× 18 0.2× 11 474

Countries citing papers authored by Taeyong Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Taeyong Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taeyong Kwon. 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 Taeyong Kwon. The network helps show where Taeyong Kwon may publish in the future.

Co-authorship network of co-authors of Taeyong Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Taeyong Kwon. A scholar is included among the top collaborators of Taeyong Kwon 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 Taeyong Kwon. Taeyong Kwon 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.
Kwon, Taeyong, Jessie D. Trujillo, Mariano Carossino, et al.. (2024). Pigs are highly susceptible to but do not transmit mink-derived highly pathogenic avian influenza virus H5N1 clade 2.3.4.4b. Emerging Microbes & Infections. 13(1). 2353292–2353292. 11 indexed citations
2.
3.
Pérez-Núñez, Daniel, Daniel W. Madden, David A. Meekins, et al.. (2024). Generation and Genetic Stability of a PolX and 5′ MGF-Deficient African Swine Fever Virus Mutant for Vaccine Development. Vaccines. 12(10). 1125–1125.
4.
Kwon, Taeyong, Jordan T Gebhardt, Mohammed Nooruzzaman, et al.. (2024). Bovine Highly Pathogenic Avian Influenza Virus Stability and Inactivation in the Milk Byproduct Lactose. Viruses. 16(9). 1451–1451. 7 indexed citations
5.
Kwon, Taeyong, Jordan T Gebhardt, Natasha N. Gaudreault, et al.. (2024). Development and optimization of sampling techniques for environmental samples from African swine fever virus-contaminated surfaces with no organic contaminants. Frontiers in Veterinary Science. 11. 1425928–1425928. 3 indexed citations
6.
Trujillo, Jessie D., Cassandra K Jones, Taeyong Kwon, et al.. (2023). Detection of African Swine Fever Virus in Feed and Feed Mill Environment Following Extended Storage. Transboundary and Emerging Diseases. 2023. 1–7. 4 indexed citations
7.
Kwon, Taeyong, Natasha N. Gaudreault, Konner Cool, et al.. (2023). Stability of SARS-CoV-2 in Biological Fluids of Animals. Viruses. 15(3). 761–761. 6 indexed citations
8.
Ganti, Ketaki, Silvia Carnaccini, Lucas M. Ferreri, et al.. (2022). Influenza A virus reassortment in mammals gives rise to genetically distinct within-host subpopulations. Nature Communications. 13(1). 6846–6846. 33 indexed citations
9.
McDowell, Chester D., Dashzeveg Bold, Jessie D. Trujillo, et al.. (2022). Experimental Infection of Domestic Pigs with African Swine Fever Virus Isolated in 2019 in Mongolia. Viruses. 14(12). 2698–2698. 8 indexed citations
10.
Trujillo, Jessie D., Cassandra K Jones, Taeyong Kwon, et al.. (2021). Effect of mixing and feed batch sequencing on the prevalence and distribution of African swine fever virus in swine feed. Transboundary and Emerging Diseases. 69(1). 115–120. 4 indexed citations
11.
Kwon, Taeyong, Natasha N. Gaudreault, & Jüergen A. Richt. (2021). Seasonal Stability of SARS-CoV-2 in Biological Fluids. Pathogens. 10(5). 540–540. 21 indexed citations
12.
Trujillo, Jessie D., Cassandra K Jones, Natasha N. Gaudreault, et al.. (2020). Evaluating the Distribution of African Swine Fever Virus Within a Feed Mill Environment Following Manufacture of Inoculated Feed. Kansas Agricultural Experiment Station Research Reports. 6(10). 3 indexed citations
13.
Meekins, David A., Igor Morozov, Jessie D. Trujillo, et al.. (2020). Susceptibility of swine cells and domestic pigs to SARS-CoV-2. Emerging Microbes & Infections. 9(1). 2278–2288. 70 indexed citations
14.
15.
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
16.
Kwon, Taeyong, Sung J. Yoo, Sun-Young Sunwoo, et al.. (2018). Independent evolution of porcine reproductive and respiratory syndrome virus 2 with genetic heterogeneity in antigenic regions of structural proteins in Korea. Archives of Virology. 164(1). 213–224. 15 indexed citations
17.
Kwon, Taeyong, Sung J. Yoo, Choi‐Kyu Park, & Young S. Lyoo. (2017). Prevalence of novel porcine circovirus 3 in Korean pig populations. Veterinary Microbiology. 207. 178–180. 159 indexed citations
18.
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
19.
Kwon, Taeyong, et al.. (2016). Genotypic diversity of porcine circovirus type 2 (PCV2) and genotype shift to PCV2d in Korean pig population. Virus Research. 228. 24–29. 78 indexed citations
20.
Lee, Dong‐Uk, Taeyong Kwon, Sung J. Yoo, et al.. (2016). Wild boars harboring porcine epidemic diarrhea virus (PEDV) may play an important role as a PEDV reservoir. Veterinary Microbiology. 192. 90–94. 19 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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