Won‐Bin Young
Impact in
-
- Innovation and Socioeconomic Development
- Virology top 5%
- HIV Research and Treatment
Papers in
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- CRISPR and Genetic Engineering 10
- RNA Interference and Gene Delivery 4
- Genetics 8
- Virus-based gene therapy research 7
- Co-authors
- Kamel Khalili (6 shared papers)Eric T. Ahrens (3 shared papers)Wenhui Hu (5 shared papers)Daniel T. Simmons (3 shared papers)Raj Putatunda (3 shared papers)Chaoran Yin (3 shared papers)Ting Zhang (3 shared papers)Yonggang Zhang (3 shared papers)
- Journals
- Journal of Virology (5 papers)Scientific Reports (2 papers)BioTechniques (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Won‐Bin Young
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Business and International Management 99
- Virology 205
- Aging 19
- Molecular Biology 555
- Pathology and Forensic Medicine 130
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 207 | |
| 2 | 1991 | 141 | |
| 3 | 2015 | 129 | |
| 4 | 2018 | 64 | |
| 5 | 2016 | 55 | |
| 6 | 2012 | 55 | |
| 7 | 2011 | 55 | |
| 8 | 1990 | 52 | |
| 9 | 2010 | 51 | |
| 10 | 1993 | 48 | |
| 11 | 2016 | 47 | |
| 12 | 1993 | 32 | |
| 13 | 1984 | 24 | |
| 14 | 1997 | 20 | |
| 15 | 2017 | 15 | |
| 16 | 2021 | 9 | |
| 17 | Strategies for the development of new and better pharmacological treatments for acute spinal cord injury. | 1993 | 9 |
| 18 | 2017 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2013 | 8 |
About Won‐Bin Young
Won‐Bin Young is a scholar working on Molecular Biology, Genetics, Virology, Oncology and Epidemiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), HIV Research and Treatment (7 papers), Virus-based gene therapy research (7 papers), Polyomavirus and related diseases (4 papers), RNA Interference and Gene Delivery (4 papers), Bacteriophages and microbial interactions (3 papers), Immune Cell Function and Interaction (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Business and International Management (99 citations), Virology (205 citations), Aging (19 citations), Molecular Biology (555 citations) and Pathology and Forensic Medicine (130 citations). Won‐Bin Young has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Kamel Khalili, Eric T. Ahrens, Wenhui Hu, Daniel T. Simmons, Raj Putatunda, Chaoran Yin, Ting Zhang, Yonggang Zhang, Rafal Kaminski and Deepak K. Kadayakkara. Their work appears in journals such as Journal of Virology, Scientific Reports, BioTechniques, Molecular Therapy — Nucleic Acids and Molecular Therapy.
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.