Won‐Bin Young
Impact in
- Virology top 2%
- HIV Research and Treatment
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
- Co-authors
- Kamel Khalili (6 shared papers)Wenhui Hu (5 shared papers)Eric T. Ahrens (3 shared papers)Yonggang Zhang (3 shared papers)Ting Zhang (3 shared papers)Chaoran Yin (3 shared papers)Raj Putatunda (3 shared papers)Rafal Kaminski (4 shared papers)
- Journals
- Journal of Virology (3 papers)Molecular Therapy — Nucleic Acids (2 papers)BioTechniques (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Won‐Bin Young
21 papers receiving 1.1k citations
Won‐Bin Young's Hit Papers
Peers
Comparison fields: 5 of 61
- Virology 318
- Molecular Biology 544
- Radiology, Nuclear Medicine and Imaging 117
- Genetics 114
- Biomaterials 39
Countries citing papers authored by Won‐Bin Young
This map shows the geographic impact of Won‐Bin Young'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 Won‐Bin Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Bin Young more than expected).
Fields of papers citing papers by Won‐Bin Young
This network shows the impact of papers produced by Won‐Bin Young. 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 Won‐Bin Young. The network helps show where Won‐Bin Young may publish in the future.
Co-authors
The 25 scholars most cited alongside Won‐Bin Young, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sequential LASER ART and CRISPR Treatments Eliminate HIV-1 in a Subset of Infected Humanized Mice Hit paper breakdown → | 2019 | 250 |
| 2 | 2017 | 244 | |
| 3 | 2015 | 143 | |
| 4 | 2018 | 80 | |
| 5 | 2012 | 62 | |
| 6 | 2011 | 58 | |
| 7 | 2016 | 58 | |
| 8 | 2010 | 56 | |
| 9 | 2016 | 54 | |
| 10 | 1990 | 52 | |
| 11 | 2017 | 17 | |
| 12 | 2013 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2000 | 5 | |
| 17 | 2000 | 3 | |
| 18 | 2000 | 2 | |
| 19 | 2007 | 1 | |
| 20 | 2009 | 1 |
About Won‐Bin Young
Won‐Bin Young is a scholar working on Virology, Genetics, Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (6 papers), Protein Structure and Dynamics (2 papers), Prion Diseases and Protein Misfolding (2 papers), Advanced MRI Techniques and Applications (2 papers), Advanced NMR Techniques and Applications (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Virology (318 citations), Molecular Biology (544 citations), Radiology, Nuclear Medicine and Imaging (117 citations), Genetics (114 citations) and Biomaterials (39 citations). Won‐Bin Young has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Kamel Khalili, Wenhui Hu, Eric T. Ahrens, Yonggang Zhang, Ting Zhang, Chaoran Yin, Raj Putatunda, Rafal Kaminski, Deepak K. K. Kadayakkara and Fang Li. Their work appears in journals such as Journal of Virology, Molecular Therapy — Nucleic Acids, BioTechniques, Scientific Reports and Nature Communications.
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.