Young‐Chan Kwon

1.0k total citations
25 papers, 759 citations indexed

About

Young‐Chan Kwon is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Young‐Chan Kwon has authored 25 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Young‐Chan Kwon's work include SARS-CoV-2 and COVID-19 Research (6 papers), Mosquito-borne diseases and control (5 papers) and COVID-19 Clinical Research Studies (5 papers). Young‐Chan Kwon is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Mosquito-borne diseases and control (5 papers) and COVID-19 Clinical Research Studies (5 papers). Young‐Chan Kwon collaborates with scholars based in South Korea, United States and Australia. Young‐Chan Kwon's co-authors include Ratna B. Ray, Ranjit Ray, Gun Young Yoon, Gi Uk Jeong, Robert Steele, Keith Meyer, Byoung-Shik Shim, Hyeryun Choe, Yuka Otsuka and Fatma Berri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Young‐Chan Kwon

24 papers receiving 755 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‐Chan Kwon South Korea 14 269 233 199 185 122 25 759
Nabab Khan United States 18 262 1.0× 238 1.0× 200 1.0× 75 0.4× 107 0.9× 35 781
Herwig Koppensteiner Germany 16 218 0.8× 343 1.5× 154 0.8× 67 0.4× 278 2.3× 25 1.0k
Niki Vassilaki Greece 17 169 0.6× 194 0.8× 344 1.7× 53 0.3× 79 0.6× 54 888
Paula Monteiro Perin Germany 7 276 1.0× 94 0.4× 163 0.8× 40 0.2× 98 0.8× 7 598
Yaling Xing China 10 508 1.9× 360 1.5× 176 0.9× 73 0.4× 439 3.6× 15 1.0k
Mercedes Armand‐Ugón Spain 22 541 2.0× 556 2.4× 213 1.1× 34 0.2× 271 2.2× 36 1.4k
Shi Liu China 17 134 0.5× 323 1.4× 351 1.8× 35 0.2× 250 2.0× 35 791
Binhua Liang Canada 18 216 0.8× 322 1.4× 172 0.9× 21 0.1× 105 0.9× 58 859

Countries citing papers authored by Young‐Chan Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Chan Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Chan Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Chan Kwon. A scholar is included among the top collaborators of Young‐Chan 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 Young‐Chan Kwon. Young‐Chan 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.
Zhang, Lizhou, et al.. (2025). Variation in virion phosphatidylserine content drives differential GAS6 binding among closely related flaviviruses. Journal of Virology. 99(10). e0111125–e0111125.
2.
Jeong, Gi Uk, Insu Hwang, Ji Hyun Choi, et al.. (2024). Generation of a lethal mouse model expressing human ACE2 and TMPRSS2 for SARS-CoV-2 infection and pathogenesis. Experimental & Molecular Medicine. 56(5). 1221–1229. 4 indexed citations
3.
Jeong, Gi Uk, Hyung‐Jun Kwon, Wern Hann Ng, et al.. (2022). Ocular tropism of SARS-CoV-2 in animal models with retinal inflammation via neuronal invasion following intranasal inoculation. Nature Communications. 13(1). 7675–7675. 19 indexed citations
4.
Lee, Sun-Hee, Gun Young Yoon, Su Jin Lee, et al.. (2022). Immunological and Pathological Peculiarity of Severe Acute Respiratory Syndrome Coronavirus 2 Beta Variant. Microbiology Spectrum. 10(5). e0237122–e0237122. 7 indexed citations
5.
Friedman, Meyer J., Haram Lee, Young‐Chan Kwon, & Soohwan Oh. (2022). Dynamics of Viral and Host 3D Genome Structure upon Infection. Journal of Microbiology and Biotechnology. 32(12). 1515–1526. 10 indexed citations
6.
Jeong, Gi Uk, Jaemyun Lyu, Kyun‐Do Kim, et al.. (2022). SARS-CoV-2 Infection of Microglia Elicits Proinflammatory Activation and Apoptotic Cell Death. Microbiology Spectrum. 10(3). e0109122–e0109122. 90 indexed citations
7.
Maharjan, Puna Maya, Haerim Kim, Jaewon Lee, et al.. (2021). Plant-Expressed Receptor Binding Domain of the SARS-CoV-2 Spike Protein Elicits Humoral Immunity in Mice. Vaccines. 9(9). 978–978. 26 indexed citations
8.
Jeong, Gi Uk, Gun Young Yoon, Insu Hwang, et al.. (2021). Comparison of Plaque Size, Thermal Stability, and Replication Rate among SARS-CoV-2 Variants of Concern. Viruses. 14(1). 55–55. 14 indexed citations
9.
Shin, Hye Jin, Keun Bon Ku, Hae Soo Kim, et al.. (2021). Receptor-binding domain of SARS-CoV-2 spike protein efficiently inhibits SARS-CoV-2 infection and attachment to mouse lung. International Journal of Biological Sciences. 17(14). 3786–3794. 11 indexed citations
10.
11.
Patra, Tapas, Sandip K. Bose, Young‐Chan Kwon, Keith Meyer, & Ranjit Ray. (2020). Inhibition of p70 isoforms of S6K1 induces anoikis to prevent transformed human hepatocyte growth. Life Sciences. 265. 118764–118764. 12 indexed citations
12.
Jeong, Gi Uk, et al.. (2020). Therapeutic Strategies Against COVID-19 and Structural Characterization of SARS-CoV-2: A Review. Frontiers in Microbiology. 11. 1723–1723. 54 indexed citations
13.
Kwon, Young‐Chan & Ranjit Ray. (2018). Complement Regulation and Immune Evasion by Hepatitis C Virus. Methods in molecular biology. 1911. 337–347. 7 indexed citations
14.
Kwon, Young‐Chan, Keith Meyer, Guangyong Peng, et al.. (2018). Hepatitis C Virus E2 Envelope Glycoprotein Induces an Immunoregulatory Phenotype in Macrophages. Hepatology. 69(5). 1873–1884. 23 indexed citations
15.
Meyer, Keith, Young‐Chan Kwon, Ratna B. Ray, & Ranjit Ray. (2017). N-terminal gelsolin fragment potentiates TRAIL mediated death in resistant hepatoma cells. Scientific Reports. 7(1). 12803–12803. 5 indexed citations
16.
Richard, Audrey S., Byoung-Shik Shim, Young‐Chan Kwon, et al.. (2017). AXL-dependent infection of human fetal endothelial cells distinguishes Zika virus from other pathogenic flaviviruses. Proceedings of the National Academy of Sciences. 114(8). 2024–2029. 164 indexed citations
17.
Kwon, Young‐Chan, Hangeun Kim, Keith Meyer, Adrian M. Di Bisceglie, & Ranjit Ray. (2016). Distinct CD55 Isoform Synthesis and Inhibition of Complement-Dependent Cytolysis by Hepatitis C Virus. The Journal of Immunology. 197(4). 1127–1136. 17 indexed citations
18.
Kwon, Young‐Chan, Sandip K. Bose, Robert Steele, et al.. (2015). Promotion of Cancer Stem-Like Cell Properties in Hepatitis C Virus-Infected Hepatocytes. Journal of Virology. 89(22). 11549–11556. 42 indexed citations
19.
Kwon, Young‐Chan, et al.. (2014). Hepatitis C virus infection: establishment of chronicity and liver disease progression.. PubMed. 13. 977–96. 31 indexed citations
20.
Choo, Hyo‐Jung, Young‐Chan Kwon, Byung‐Yoon Ahn, et al.. (2009). Proteome analysis of adipocyte lipid rafts reveals that gC1qR plays essential roles in adipogenesis and insulin signal transduction. PROTEOMICS. 9(9). 2373–2382. 38 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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