Sik Yoon
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Collagen: Extraction and Characterization
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Immunology 19
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 6
- Co-authors
- Jeon‐Ok Moon (13 shared papers)Jong-Young Kwak (10 shared papers)Sun‐Yong Baek (25 shared papers)Bong-Seon Kim (24 shared papers)Sae‐Ock Oh (25 shared papers)Seon-Yeong Hwang (8 shared papers)Mi‐Hye Lee (1 shared paper)Hae Young Chung (5 shared papers)
- Journals
- International Journal of Molecular Sciences (7 papers)Marine Drugs (5 papers)International Journal of Molecular Medicine (5 papers)Archives of Pharmacal Research (5 papers)RSC Advances (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Sik Yoon
103 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 136
- Biomaterials 524
- Pharmacology 267
- Biochemistry 124
- Molecular Medicine 102
- Cell Biology 280
Countries citing papers authored by Sik Yoon
This map shows the geographic impact of Sik Yoon'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 Sik Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sik Yoon more than expected).
Fields of papers citing papers by Sik Yoon
This network shows the impact of papers produced by Sik Yoon. 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 Sik Yoon. The network helps show where Sik Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sik Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 230 | |
| 2 | 2004 | 138 | |
| 3 | 2011 | 119 | |
| 4 | 2010 | 99 | |
| 5 | 2011 | 98 | |
| 6 | 2018 | 94 | |
| 7 | 2011 | 92 | |
| 8 | 2015 | 86 | |
| 9 | 2017 | 81 | |
| 10 | 2003 | 81 | |
| 11 | 2010 | 68 | |
| 12 | 2019 | 67 | |
| 13 | 2018 | 66 | |
| 14 | 2013 | 64 | |
| 15 | 2015 | 63 | |
| 16 | 2016 | 60 | |
| 17 | 2011 | 59 | |
| 18 | 2016 | 59 | |
| 19 | 2013 | 53 | |
| 20 | 2003 | 52 |
About Sik Yoon
Sik Yoon is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Oncology and Biomaterials, having authored 104 papers that have together received 3.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (13 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Cancer Cells and Metastasis (8 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Immunotherapy and Immune Responses (8 papers), Liver physiology and pathology (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Biomaterials (524 citations), Pharmacology (267 citations), Biochemistry (124 citations), Molecular Medicine (102 citations) and Cell Biology (280 citations). Sik Yoon has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jeon‐Ok Moon, Jong-Young Kwak, Sun‐Yong Baek, Bong-Seon Kim, Sae‐Ock Oh, Seon-Yeong Hwang, Mi‐Hye Lee, Hae Young Chung, Muhammad Ikram and Young Hun Jeong. Their work appears in journals such as International Journal of Molecular Sciences, Marine Drugs, International Journal of Molecular Medicine, Archives of Pharmacal Research and RSC Advances.
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.