Young‐Chan Kwon

1.1k citations
26 papers · 795 · h-index 15

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 789 citations

Peers

Young‐Chan Kwon
Comparison fields: 5 of 87
  • Infectious Diseases 262
  • Hepatology 94
  • Public Health, Environmental and Occupational Health 188
  • Neurology 52
  • Epidemiology 195
Replace Stephan Becker with:
Stephan Becker Germany
Nabab Khan United States
Lei Tan China
Joby Cole United Kingdom
Niki Vassilaki Greece
Sebastiano Sansano Switzerland
Shoko Nogusa United States
Junji Chida Japan
Herwig Koppensteiner Germany
Young‐Chan Kwon relative to Stephan Becker Germany Stephan Becker's profile →
Citations per field
00.5×4.5×
Stephan Becker · 1×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017169
2 2015121
3 202295
4 202058
5 201543
6 200938
7
Hepatitis C virus infection: establishment of chronicity and liver disease progression.
201431
8 202129
9 201725
10 201824
11 202222
12 202121
13 201618
14 202116
15 202314
16 202012
17 202112
18 202211
19 202110
20 20228

About Young‐Chan Kwon

Young‐Chan Kwon is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Neurology and Epidemiology, having authored 26 papers that have together received 795 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers), Mosquito-borne diseases and control (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Hepatitis C virus research (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Infectious Diseases (262 citations), Hepatology (94 citations), Public Health, Environmental and Occupational Health (188 citations), Neurology (52 citations) and Epidemiology (195 citations). Young‐Chan Kwon has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Ratna B. Ray, Ranjit Ray, Gun Young Yoon, Gi Uk Jeong, Keith Meyer, Robert Steele, Byoung-Shik Shim, Michael Diamond, Audrey S. Richard and Kimberly Schmitt. Their work appears in journals such as Journal of Virology, Microbiology Spectrum, Viruses, The Journal of Immunology and PROTEOMICS.

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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