Young‐Chan Kwon

1.0k citations
25 papers · 759 · h-index 14

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

Young‐Chan Kwon

24 papers receiving 755 citations

Peers

Young‐Chan Kwon
Comparison fields: 5 of 85
  • Infectious Diseases 269
  • Hepatology 102
  • Neurology 58
  • Public Health, Environmental and Occupational Health 185
  • Neurology 88
Replace Nabab Khan with:
Nabab Khan United States
Paula Monteiro Perin Germany
Yaling Xing China
Niki Vassilaki Greece
Shoko Nogusa United States
Sebastiano Sansano Switzerland
Shi Liu China
Junji Chida Japan
Young‐Chan Kwon relative to Nabab Khan United States Nabab Khan's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Young‐Chan Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Young‐Chan Kwon Line = papers co-authored together Young‐Chan Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017164
2 2015118
3 202290
4 202054
5 201542
6 200938
7
Hepatitis C virus infection: establishment of chronicity and liver disease progression.
201431
8 202126
9 201725
10 201823
11 202120
12 202219
13 201617
14 202114
15 202012
16 202111
17 202311
18 202210
19 20219
20 20187

About Young‐Chan Kwon

Young‐Chan Kwon is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Public Health, Environmental and Occupational Health and Neurology, having authored 25 papers that have together received 759 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Mosquito-borne diseases and control (5 papers), Long-Term Effects of COVID-19 (4 papers), HIV Research and Treatment (2 papers), Complement system in diseases (2 papers), Hepatitis C virus research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (269 citations), Hepatology (102 citations), Neurology (58 citations), Public Health, Environmental and Occupational Health (185 citations) and Neurology (88 citations). Young‐Chan Kwon has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Ratna B. Ray, Ranjit Ray, Gi Uk Jeong, Gun Young Yoon, Robert Steele, Keith Meyer, Byoung-Shik Shim, Audrey S. Richard, Rong Zhang and Yuka Otsuka. Their work appears in journals such as Journal of Virology, Viruses, Microbiology Spectrum, Scientific Reports and Nature Communications.

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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