Donghyok Kwon

908 total citations
50 papers, 647 citations indexed

About

Donghyok Kwon is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Donghyok Kwon has authored 50 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 17 papers in Epidemiology and 13 papers in Modeling and Simulation. Recurrent topics in Donghyok Kwon's work include SARS-CoV-2 and COVID-19 Research (18 papers), Influenza Virus Research Studies (13 papers) and COVID-19 epidemiological studies (13 papers). Donghyok Kwon is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (18 papers), Influenza Virus Research Studies (13 papers) and COVID-19 epidemiological studies (13 papers). Donghyok Kwon collaborates with scholars based in South Korea, United States and Philippines. Donghyok Kwon's co-authors include Chanhee Chae, Changsun Choi, Ji-Hyuk Park, Jaeseung Shin, Seung-Ki Youn, Chun Kang, Joo-Yeon Lee, Ok‐Jin Kim, Hee‐Bok Oh and Kyeong‐Cheol Shin and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Donghyok Kwon

49 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghyok Kwon South Korea 15 382 170 118 73 65 50 647
Viviana Sotomayor Chile 10 178 0.5× 223 1.3× 91 0.8× 72 1.0× 119 1.8× 17 624
Sophie J. Smither United Kingdom 17 705 1.8× 437 2.6× 48 0.4× 71 1.0× 65 1.0× 41 1.2k
Katharina Alpers Germany 15 310 0.8× 152 0.9× 102 0.9× 23 0.3× 166 2.6× 39 820
Zengqiang Kou China 11 206 0.5× 60 0.4× 32 0.3× 61 0.8× 24 0.4× 73 488
Dipankar Biswas India 20 191 0.5× 442 2.6× 48 0.4× 68 0.9× 36 0.6× 52 984
My V. T. Phan United Kingdom 20 717 1.9× 144 0.8× 75 0.6× 29 0.4× 130 2.0× 57 977
Julie R. Harris United States 18 761 2.0× 711 4.2× 29 0.2× 41 0.6× 59 0.9× 73 1.1k
Stephen Balinandi Uganda 18 764 2.0× 113 0.7× 45 0.4× 67 0.9× 66 1.0× 47 913
Thomas A. Weppelmann United States 17 236 0.6× 69 0.4× 235 2.0× 56 0.8× 120 1.8× 52 796
Stephanie A Richard United States 15 248 0.6× 212 1.2× 32 0.3× 50 0.7× 33 0.5× 37 637

Countries citing papers authored by Donghyok Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Donghyok Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyok Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Donghyok Kwon. A scholar is included among the top collaborators of Donghyok 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 Donghyok Kwon. Donghyok 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.
2.
Choe, Young June, et al.. (2023). Comparative Effectiveness of COVID-19 Bivalent Versus Monovalent mRNA Vaccines in the Early Stage of Bivalent Vaccination in Korea: October 2022 to January 2023. Journal of Korean Medical Science. 38(46). e396–e396. 3 indexed citations
3.
Choe, Young June, Boyeong Ryu, Donghyok Kwon, et al.. (2023). Pediatric Deaths Associated With Coronavirus Disease 2019 (COVID-19) in Korea. Journal of Korean Medical Science. 38(3). e21–e21. 5 indexed citations
4.
Kim, Yeon-Ju, et al.. (2023). COVID-19 Cases and Deaths among Healthcare Personnel with the Progression of the Pandemic in Korea from March 2020 to February 2022. Tropical Medicine and Infectious Disease. 8(6). 308–308. 2 indexed citations
5.
Ryu, Boyeong, et al.. (2023). Risk Factors for Sudden Death Within 2 Days After Diagnosis of COVID-19 in Korea. Journal of Korean Medical Science. 38(27). e214–e214. 1 indexed citations
6.
Ryu, Boyeong, et al.. (2023). Risk factors for deaths associated with COVID-19 according to the cause of death classification in Republic of Korea. Osong Public Health and Research Perspectives. 14(2). 89–99.
7.
Kwon, Donghyok, et al.. (2023). Temporal association between the age-specific incidence of Guillain-Barré syndrome and SARS-CoV-2 vaccination in Republic of Korea: a nationwide time-series correlation study. Osong Public Health and Research Perspectives. 14(3). 224–231. 3 indexed citations
8.
Park, Shin Young, et al.. (2022). Epidemiological Characteristics and Transmission Patterns of COVID-19 Cases Among Children and Adolescents Aged 0–18 Years in South Korea. Dove Medical Press (Taylor and Francis Group). 5 indexed citations
9.
Mendoza, Victoria, Renier Mendoza, Yu Bin Seo, et al.. (2022). Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study. Journal of Korean Medical Science. 37(26). e209–e209. 11 indexed citations
10.
11.
Kim, Dong-Hyun, Eun‐Jee Oh, Kyungwon Oh, et al.. (2022). Seroprevalence of SARS-CoV-2 antibodies in the community based on participants in the 2020 Korea National Health and Nutrition Examination Survey. Epidemiology and Health. 44. e2022028–e2022028. 3 indexed citations
12.
Lee, Jacob, et al.. (2021). COVID-19 Vaccine Priority Strategy Using a Heterogenous Transmission Model Based on Maximum Likelihood Estimation in the Republic of Korea. International Journal of Environmental Research and Public Health. 18(12). 6469–6469. 15 indexed citations
13.
Kim, Yeon-Ju, Eun‐Jin Kim, Sangwon Lee, & Donghyok Kwon. (2021). Review of the early reports of the epidemiological characteristics of the B.1.1.7 variant of SARS-CoV-2 and its spread worldwide. Osong Public Health and Research Perspectives. 12(3). 139–148. 8 indexed citations
14.
Park, Ae Kyung, Il‐Hwan Kim, Junyoung Kim, et al.. (2021). Genomic Surveillance of SARS-CoV-2: Distribution of Clades in the Republic of Korea in 2020. Osong Public Health and Research Perspectives. 12(1). 37–43. 24 indexed citations
15.
Kwon, Donghyok, et al.. (2020). Characteristics of Acute Stroke in Patients with Coronavirus Disease 2019 and Challenges in Stroke Management during an Epidemic. Cerebrovascular Diseases. 49. 82–83. 1 indexed citations
16.
Lee, Chang, et al.. (2016). Laboratory-acquired dengue virus infection by needlestick injury. 28(4). 19–26. 1 indexed citations
17.
Lee, Chang, et al.. (2016). Laboratory-acquired dengue virus infection by needlestick injury: a case report, South Korea, 2014. Annals of Occupational and Environmental Medicine. 28(1). 16–16. 14 indexed citations
18.
Yi, Hwajung, et al.. (2013). Impact of influenza virus escape‐mutations on influenza detection by the rapid influenza diagnostic test. Journal of Medical Virology. 85(4). 709–715. 6 indexed citations
19.
Kwon, Donghyok, Joo-Yeon Lee, Wooyoung Choi, et al.. (2012). Avian Influenza A (H5N1) Virus Antibodies in Poultry Cullers, South Korea, 2003–2004. Emerging infectious diseases. 18(6). 986–988. 14 indexed citations
20.
Choi, Wooyoung, Minji Kim, Donghyok Kwon, et al.. (2009). Amantadine-resistant influenza A viruses isolated in South Korea from 2003 to 2009. Antiviral Research. 84(2). 199–202. 28 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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