Jung‐Hoon Kwon

1.7k total citations · 1 hit paper
75 papers, 1.3k citations indexed

About

Jung‐Hoon Kwon is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Jung‐Hoon Kwon has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Epidemiology, 46 papers in Agronomy and Crop Science and 37 papers in Infectious Diseases. Recurrent topics in Jung‐Hoon Kwon's work include Influenza Virus Research Studies (53 papers), Animal Disease Management and Epidemiology (46 papers) and Viral gastroenteritis research and epidemiology (17 papers). Jung‐Hoon Kwon is often cited by papers focused on Influenza Virus Research Studies (53 papers), Animal Disease Management and Epidemiology (46 papers) and Viral gastroenteritis research and epidemiology (17 papers). Jung‐Hoon Kwon collaborates with scholars based in South Korea, United States and Mongolia. Jung‐Hoon Kwon's co-authors include Dong‐Hun Lee, David E. Swayne, Kateri Bertran, Chang‐Seon Song, Seong‐Su Yuk, Jin-Yong Noh, Erdene-Ochir Tseren-Ochir, Chang‐Seon Song, Jae-Keun Park and Sol Jeong and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Jung‐Hoon Kwon

72 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evolution, global spread, and pathogenicity of highly pathogenic avian influenza H5Nx clade 2.3.4.4

2017 276 citations Dong‐Hun Lee, Kateri Bertran et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jung‐Hoon Kwon South Korea	19	881	639	601	218	120	75	1.3k
Chang‐Seon Song South Korea	15	429 0.5×	328 0.5×	252 0.4×	197 0.9×	102 0.8×	35	778
Ching‐Ho Wang Taiwan	20	493 0.6×	442 0.7×	194 0.3×	354 1.6×	205 1.7×	66	1.1k
Jinxiong Liu China	13	342 0.4×	287 0.4×	417 0.7×	116 0.5×	101 0.8×	18	857
Yongkun Zhao China	21	543 0.6×	817 1.3×	182 0.3×	248 1.1×	274 2.3×	106	1.5k
Haibo Wu China	16	804 0.9×	498 0.8×	513 0.9×	113 0.5×	86 0.7×	87	1.0k
Woonsung Na South Korea	19	339 0.4×	444 0.7×	270 0.4×	115 0.5×	211 1.8×	73	1.1k
Huaguang Lu United States	25	471 0.5×	892 1.4×	229 0.4×	359 1.6×	759 6.3×	53	1.8k
Akatsuki Saito Japan	21	290 0.3×	672 1.1×	108 0.2×	61 0.3×	227 1.9×	83	1.5k
Tuckweng Kok Australia	22	752 0.9×	324 0.5×	97 0.2×	72 0.3×	193 1.6×	49	1.3k
P. L. Young Australia	11	474 0.5×	522 0.8×	148 0.2×	119 0.5×	40 0.3×	35	815

Countries citing papers authored by Jung‐Hoon Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Jung‐Hoon Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung‐Hoon Kwon

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

All Works

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20 of 20 papers shown

Cho, Ki-Hyun, et al.. (2025). Pathological Characterization of African Swine Fever Viruses With Genetic Deletions Detected in South Korea. Transboundary and Emerging Diseases. 2025(1). 9917280–9917280.

Jeong, Chang‐Gi, Chung-Young Lee, Jung‐Hoon Kwon, et al.. (2024). Emergence of HPAI H5N6 Clade 2.3.4.4b in Wild Birds: A Case Study From South Korea, 2023. Transboundary and Emerging Diseases. 2024(1). 4141478–4141478. 1 indexed citations

Nah, Jin‐Ju, Jida Choi, Ki-Hyun Cho, et al.. (2024). Genomic Epidemiology of African Swine Fever Virus Identified in Domestic Pig Farms in South Korea during 2019–2021. Transboundary and Emerging Diseases. 2024(1). 9077791–9077791. 4 indexed citations

Jeong, Sol, et al.. (2024). Genomic epidemiology of highly pathogenic avian influenza A (H5N1) virus in wild birds in South Korea during 2021–2022: Changes in viral epidemic patterns. Virus Evolution. 10(1). veae014–veae014. 5 indexed citations

Park, Jae-Keun, Chang‐Seon Song, Sangyong Choi, et al.. (2023). Chimeric H5 influenza virus-like particle vaccine elicits broader cross-clade antibody responses in chickens than in ducks. Frontiers in Veterinary Science. 10. 1158233–1158233.

Shin, Yeun‐Kyung, Hae‐Eun Kang, Jung‐Hoon Kwon, et al.. (2023). Development and evaluation of a triplex real-time quantitative reverse transcription-polymerase chain reaction for rapid and differential detection of three feline respiratory viral pathogens. Korean Journal of Veterinary Service. 46(4). 269–281. 1 indexed citations

Lee, Jiho, Jin-Yong Noh, Jei-Hyun Jeong, et al.. (2023). Age is a determinant factor in the susceptibility of domestic ducks to H5 clade 2.3.2.1c and 2.3.4.4e high pathogenicity avian influenza viruses. Frontiers in Veterinary Science. 10. 1207289–1207289. 6 indexed citations

Kim, Jiyun, et al.. (2023). Detection of intercontinental reassortant H6 avian influenza viruses from wild birds in South Korea, 2015 and 2017. Frontiers in Veterinary Science. 10. 1157984–1157984. 1 indexed citations

Criado, Miriã F., Aemro Kassa, Kateri Bertran, et al.. (2023). Efficacy of multivalent recombinant herpesvirus of turkey vaccines against high pathogenicity avian influenza, infectious bursal disease, and Newcastle disease viruses. Vaccine. 41(18). 2893–2904. 11 indexed citations

10.

Lee, Yuna, Dong‐Hun Lee, Jung‐Hoon Kwon, et al.. (2021). Genetic Characterization of Novel H7Nx Low Pathogenic Avian Influenza Viruses from Wild Birds in South Korea during the Winter of 2020–2021. Viruses. 13(11). 2274–2274. 3 indexed citations

11.

Byun, Sung June, Shanmugam Sureshkumar, Seong‐Su Yuk, et al.. (2020). The 3D8 single chain variable fragment protein suppresses Newcastle disease virus transmission in transgenic chickens. BMC Veterinary Research. 16(1). 273–273. 3 indexed citations

12.

Kwon, Jung‐Hoon, Jin-Yong Noh, Jei-Hyun Jeong, et al.. (2019). Different pathogenicity of two strains of clade 2.3.4.4c H5N6 highly pathogenic avian influenza viruses bearing different PA and NS gene in domestic ducks. Virology. 530. 11–18. 12 indexed citations

13.

Tseren-Ochir, Erdene-Ochir, Jung‐Hoon Kwon, Jin-Yong Noh, et al.. (2018). Molecular characterization and genetic diversity of avian paramyxovirus type 4 isolated in South Korea from 2013 to 2017. Infection Genetics and Evolution. 61. 127–133. 6 indexed citations

14.

Yuk, Seong‐Su, Dong‐Hun Lee, Jae-Keun Park, et al.. (2016). Pre-immune state induced by chicken interferon gamma inhibits the replication of H1N1 human and H9N2 avian influenza viruses in chicken embryo fibroblasts. Virology Journal. 13(1). 71–71. 18 indexed citations

15.

Lee, Dong‐Hun, Jung‐Hoon Kwon, Jae-Keun Park, et al.. (2016). Experimental Infection of Chickens with Intercontinental Reassortant H9N2 Influenza Viruses from Wild Birds. Avian Diseases. 60(2). 493–495. 3 indexed citations

16.

Noh, Jin-Yong, Jae-Keun Park, Dong‐Hun Lee, et al.. (2016). Chimeric Bivalent Virus-Like Particle Vaccine for H5N1 HPAI and ND Confers Protection against a Lethal Challenge in Chickens and Allows a Strategy of Differentiating Infected from Vaccinated Animals (DIVA). PLoS ONE. 11(9). e0162946–e0162946. 19 indexed citations

17.

Yuk, Seong‐Su, Dong‐Hun Lee, Jae-Keun Park, et al.. (2015). Immune response in domestic ducks following intradermal delivery of inactivated vaccine against H5N1 highly pathogenic avian influenza virus adjuvanted with oligodeoxynucleotides containing CpG motifs. Poultry Science. 94(8). 1836–1842. 6 indexed citations

18.

Park, Jae-Keun, Dong‐Hun Lee, Chung Hwan Cho, et al.. (2014). Supplementation of oil-based inactivated H9N2 vaccine with M2e antigen enhances resistance against heterologous H9N2 avian influenza virus infection. Veterinary Microbiology. 169(3-4). 211–217. 18 indexed citations

19.

Lee, Dong‐Hun, Jae-Keun Park, Jung‐Hoon Kwon, et al.. (2013). Virus-like particle vaccine protects against H3N2 canine influenza virus in dog. Vaccine. 31(32). 3268–3273. 19 indexed citations

20.

Lee, Yuna, Ha-Na Youn, Jung‐Hoon Kwon, et al.. (2013). Sublingual administration of Lactobacillus rhamnosus affects respiratory immune responses and facilitates protection against influenza virus infection in mice. Antiviral Research. 98(2). 284–290. 43 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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