Young Hee Ryu
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
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- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Lipid Membrane Structure and Behavior 1
-
- Immune Response and Inflammation 6
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- Seung Hyun Han (8 shared papers)Sang‐Gi Paik (1 shared paper)Hayyoung Lee (1 shared paper)Jie‐Oh Lee (1 shared paper)Jin Young Kang (1 shared paper)Mi Sun Jin (1 shared paper)Cheol‐Heui Yun (7 shared papers)Jung Eun Baik (3 shared papers)
- Journals
- Molecular Immunology (2 papers)Journal of Leukocyte Biology (1 paper)Cancer Letters (1 paper)Immunity (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Young Hee Ryu
13 papers receiving 1.1k citations
Young Hee Ryu's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 586
- Microbiology 166
- Periodontics 92
- Oral Surgery 59
- Cancer Research 121
Countries citing papers authored by Young Hee Ryu
This map shows the geographic impact of Young Hee 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 Young Hee Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Hee Ryu more than expected).
Fields of papers citing papers by Young Hee Ryu
This network shows the impact of papers produced by Young Hee 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 Young Hee Ryu. The network helps show where Young Hee Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Hee Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Recognition of Lipopeptide Patterns by Toll-like Receptor 2-Toll-like Receptor 6 Heterodimer Hit paper breakdown → | 2009 | 606 |
| 2 | 2008 | 153 | |
| 3 | Comparison of proteome between hepatitis B virus- and hepatitis C virus-associated hepatocellular carcinoma. | 2003 | 104 |
| 4 | 2008 | 80 | |
| 5 | 2010 | 38 | |
| 6 | 2009 | 36 | |
| 7 | 2015 | 31 | |
| 8 | 2011 | 26 | |
| 9 | 2015 | 19 | |
| 10 | 2006 | 19 | |
| 11 | 2008 | 13 | |
| 12 | 2009 | 10 | |
| 13 | 2017 | 8 |
About Young Hee Ryu
Young Hee Ryu is a scholar working on Molecular Biology, Immunology, Food Science, Cancer Research and Infectious Diseases, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers), NF-κB Signaling Pathways (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Immunology (586 citations), Microbiology (166 citations), Periodontics (92 citations), Oral Surgery (59 citations) and Cancer Research (121 citations). Young Hee Ryu has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Seung Hyun Han, Sang‐Gi Paik, Hayyoung Lee, Jie‐Oh Lee, Jin Young Kang, Mi Sun Jin, Cheol‐Heui Yun, Jung Eun Baik, Kangseok Lee and Jintaek Im. Their work appears in journals such as Molecular Immunology, Journal of Leukocyte Biology, Cancer Letters, Immunity and Journal of Cell Science.
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.