Wang‐Shick Ryu

3.3k citations
80 papers · 2.8k · h-index 26

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Wang‐Shick Ryu

79 papers receiving 2.7k citations

Peers

Wang‐Shick Ryu
Comparison fields: 5 of 107
  • Hepatology 1.1k
  • Epidemiology 1.5k
  • Virology 151
  • Infectious Diseases 462
  • Immunology 291
Replace King-Song Jeng with:
King-Song Jeng Taiwan
David Tyrrell Canada
Soon Bong Hwang South Korea
Takayuki Hishiki Japan
Yan‐Hwa Wu Lee Taiwan
Philippe Gripon France
Zongyi Hu United States
Sharookh B. Kapadia United States
Artur Kaul Germany
Susan L. Uprichard United States
Wang‐Shick Ryu relative to King-Song Jeng Taiwan King-Song Jeng's profile →
Citations per field
00.5×1.5×1.8×
King-Song Jeng · 1×
Citations per year

Countries citing papers authored by Wang‐Shick Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐Shick Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang‐Shick Ryu. 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 Wang‐Shick Ryu. The network helps show where Wang‐Shick Ryu may publish in the future.

Co-authors

The 25 scholars most cited alongside Wang‐Shick Ryu, 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 Wang‐Shick Ryu Line = papers co-authored together Wang‐Shick Ryu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004194
2
Expression of cyclooxygenase-2 (COX-2) in hepatocellular carcinoma and growth inhibition of hepatoma cell lines by a COX-2 inhibitor, NS-398.
2001189
3 2010183
4 2018183
5 1992167
6 2009116
7 198992
8 202091
9 200485
10 199384
11 201478
12 200972
13 200171
14 200070
15 201461
16 201058
17 201958
18 200953
19 199553
20 201644

About Wang‐Shick Ryu

Wang‐Shick Ryu is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Virology and Animal Science and Zoology, having authored 80 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (39 papers), Hepatitis C virus research (29 papers), Viral gastroenteritis research and epidemiology (17 papers), Animal Virus Infections Studies (9 papers), Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (8 papers), Bacteriophages and microbial interactions (8 papers) and Plant Virus Research Studies (5 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.5k citations), Virology (151 citations), Infectious Diseases (462 citations) and Immunology (291 citations). Wang‐Shick Ryu has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Haifeng Wang, John M. Taylor, Manfred Bayer, Chunkyu Ko, Janet E. Mertz, Dong-Kyun Ryu, Young-Min Park, Haifeng Wang, Seungtaek Kim and Marc Peter Windisch. Their work appears in journals such as Journal of Virology, Journal of General Virology, Molecules and Cells, Journal of Hepatology and Virology.

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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