Young Do Kwon
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
Papers in
- Virology 46
- HIV Research and Treatment 46
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- HIV/AIDS drug development and treatment 9
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Peter D. Kwong (26 shared papers)Joseph Sodroski (8 shared papers)Tongqing Zhou (7 shared papers)Yongping Yang (8 shared papers)John R. Mascola (7 shared papers)Andrés Finzi (3 shared papers)Xueling Wu (3 shared papers)Lawrence S. Shapiro (5 shared papers)
- Journals
- Journal of Virology (5 papers)Cell Reports (4 papers)Structure (4 papers)Science (4 papers)Cell (4 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Young Do Kwon
59 papers receiving 6.7k citations
Young Do Kwon's Hit Papers
Peers
Comparison fields: 5 of 76
- Virology 4.8k
- Infectious Diseases 725
- Radiology, Nuclear Medicine and Imaging 543
- Molecular Biology 1.1k
- Immunology 243
Countries citing papers authored by Young Do Kwon
This map shows the geographic impact of Young Do Kwon'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 Do Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Do Kwon more than expected).
Fields of papers citing papers by Young Do Kwon
This network shows the impact of papers produced by Young Do Kwon. 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 Do Kwon. The network helps show where Young Do Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Do Kwon, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural Basis for Broad and Potent Neutralization of HIV-1 by Antibody VRC01 Hit paper breakdown → | 2010 | 978 |
| 2 | Structure of HIV-1 gp120 V1/V2 domain with broadly neutralizing antibody PG9 Hit paper breakdown → | 2011 | 735 |
| 3 | 2016 | 355 | |
| 4 | 2013 | 315 | |
| 5 | 2015 | 302 | |
| 6 | 2009 | 282 | |
| 7 | 2009 | 256 | |
| 8 | 2016 | 254 | |
| 9 | 2014 | 250 | |
| 10 | 2018 | 242 | |
| 11 | 2017 | 235 | |
| 12 | 2012 | 217 | |
| 13 | 2015 | 200 | |
| 14 | 2013 | 190 | |
| 15 | 2003 | 165 | |
| 16 | 2017 | 151 | |
| 17 | 2008 | 147 | |
| 18 | 2019 | 110 | |
| 19 | 1997 | 97 | |
| 20 | 2014 | 97 |
About Young Do Kwon
Young Do Kwon is a scholar working on Virology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computational Theory and Mathematics, having authored 59 papers that have together received 6.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (46 papers), HIV/AIDS drug development and treatment (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Ubiquitin and proteasome pathways (2 papers), Computational Drug Discovery Methods (2 papers), Protein purification and stability (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Virology (4.8k citations), Infectious Diseases (725 citations), Radiology, Nuclear Medicine and Imaging (543 citations), Molecular Biology (1.1k citations) and Immunology (243 citations). Young Do Kwon has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Peter D. Kwong, Joseph Sodroski, Tongqing Zhou, Yongping Yang, John R. Mascola, Andrés Finzi, Xueling Wu, Lawrence S. Shapiro, Jiang Zhu and Ivelin S. Georgiev. Their work appears in journals such as Journal of Virology, Cell Reports, Structure, Science and Cell.
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.