Jonathan Stuckey
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
- Virology 12
- HIV Research and Treatment 12
-
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Peter D. Kwong (6 shared papers)Tongqing Zhou (5 shared papers)Young Do Kwon (4 shared papers)Joseph Sodroski (3 shared papers)Marie Pancera (4 shared papers)Shahzad Majeed (3 shared papers)Leopold Kong (3 shared papers)William R. Schief (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (2 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Host & Microbe (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Jonathan Stuckey
13 papers receiving 2k citations
Jonathan Stuckey's Hit Papers
Peers
Comparison fields: 5 of 46
- Virology 1.4k
- Infectious Diseases 392
- Structural Biology 21
- Molecular Biology 315
- Computational Theory and Mathematics 40
Countries citing papers authored by Jonathan Stuckey
This map shows the geographic impact of Jonathan Stuckey'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 Jonathan Stuckey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Stuckey more than expected).
Fields of papers citing papers by Jonathan Stuckey
This network shows the impact of papers produced by Jonathan Stuckey. 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 Jonathan Stuckey. The network helps show where Jonathan Stuckey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Stuckey, 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 | Structure and immune recognition of trimeric pre-fusion HIV-1 Env Hit paper breakdown → | 2014 | 651 |
| 2 | 2015 | 302 | |
| 3 | 2020 | 285 | |
| 4 | 2009 | 282 | |
| 5 | 2012 | 217 | |
| 6 | 2015 | 147 | |
| 7 | 2014 | 55 | |
| 8 | 2017 | 37 | |
| 9 | 2013 | 35 | |
| 10 | 2024 | 18 | |
| 11 | 2023 | 10 | |
| 12 | 2009 | 4 | |
| 13 | 2010 | 4 |
About Jonathan Stuckey
Jonathan Stuckey is a scholar working on Virology, Infectious Diseases, Organic Chemistry, Molecular Biology and Nuclear Energy and Engineering, having authored 13 papers that have together received 2k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Carbohydrate Chemistry and Synthesis (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Virology (1.4k citations), Infectious Diseases (392 citations), Structural Biology (21 citations), Molecular Biology (315 citations) and Computational Theory and Mathematics (40 citations). Jonathan Stuckey has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Peter D. Kwong, Tongqing Zhou, Young Do Kwon, Joseph Sodroski, Marie Pancera, Shahzad Majeed, Leopold Kong, William R. Schief, Chih-chin Huang and James E. Robinson. Their work appears in journals such as Nature Structural & Molecular Biology, PLoS ONE, Proceedings of the National Academy of Sciences, Cell Host & Microbe and Nature.
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.