Young-Wook Won
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
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- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 8
- Advanced biosensing and bioanalysis techniques 3
- Heme Oxygenase-1 and Carbon Monoxide 2
- Heat shock proteins research 2
- Genetics 5
- Virus-based gene therapy research 4
- Co-authors
- David A. Bull (9 shared papers)Amit N. Patel (1 shared paper)Yong‐Hee Kim (6 shared papers)Sung Wan Kim (6 shared papers)Minhyung Lee (3 shared papers)Kwang Suk Lim (4 shared papers)Chung Hee Sonn (1 shared paper)Kyung‐Mi Lee (1 shared paper)
- Journals
- Journal of Controlled Release (5 papers)Biomaterials (3 papers)Molecular Pharmaceutics (2 papers)Pharmaceutical Research (1 paper)Biochimie (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Young-Wook Won
15 papers receiving 483 citations
Peers
Comparison fields: 5 of 77
- Biomaterials 158
- Genetics 70
- Molecular Medicine 32
- Pharmaceutical Science 30
- Molecular Biology 263
Countries citing papers authored by Young-Wook Won
This map shows the geographic impact of Young-Wook Won'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-Wook Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Wook Won more than expected).
Fields of papers citing papers by Young-Wook Won
This network shows the impact of papers produced by Young-Wook Won. 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-Wook Won. The network helps show where Young-Wook Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Young-Wook Won, 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 | 2014 | 140 | |
| 2 | 2011 | 63 | |
| 3 | 2012 | 51 | |
| 4 | 2011 | 36 | |
| 5 | 2013 | 32 | |
| 6 | 2011 | 29 | |
| 7 | 2010 | 28 | |
| 8 | 2014 | 25 | |
| 9 | 2010 | 24 | |
| 10 | 2012 | 18 | |
| 11 | 2012 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2019 | 9 | |
| 14 | 2013 | 5 | |
| 15 | 2015 | 2 |
About Young-Wook Won
Young-Wook Won is a scholar working on Molecular Biology, Genetics, Biomaterials, Surgery and Epidemiology, having authored 15 papers that have together received 490 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Virus-based gene therapy research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Trace Elements in Health (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Heat shock proteins research (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Biomaterials (158 citations), Genetics (70 citations), Molecular Medicine (32 citations), Pharmaceutical Science (30 citations) and Molecular Biology (263 citations). Young-Wook Won has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include David A. Bull, Amit N. Patel, Yong‐Hee Kim, Sung Wan Kim, Minhyung Lee, Kwang Suk Lim, Chung Hee Sonn, Kyung‐Mi Lee, Hyun‐Ah Kim and Jang Kyoung Kim. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Molecular Pharmaceutics, Pharmaceutical Research and Biochimie.
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.