Ryan C. Burdick
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
- Virology 24
- HIV Research and Treatment 24
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- HIV/AIDS drug development and treatment 11
- HIV/AIDS Research and Interventions 3
- Co-authors
- Vinay K. Pathak (25 shared papers)Wei-Shau Hu (18 shared papers)Chenglei Li (3 shared papers)Kunio Nagashima (2 shared papers)Krista A. Delviks‐Frankenberry (4 shared papers)T Izumi (3 shared papers)Belete A. Desimmie (3 shared papers)MohamedHusen Munshi (1 shared paper)
- Journals
- Journal of Virology (6 papers)Proceedings of the National Academy of Sciences (5 papers)PLoS ONE (2 papers)PLoS Pathogens (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Ryan C. Burdick
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 67
- Virology 846
- Infectious Diseases 431
- Immunology 230
- Molecular Biology 605
- Epidemiology 255
Countries citing papers authored by Ryan C. Burdick
This map shows the geographic impact of Ryan C. Burdick'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 Ryan C. Burdick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan C. Burdick more than expected).
Fields of papers citing papers by Ryan C. Burdick
This network shows the impact of papers produced by Ryan C. Burdick. 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 Ryan C. Burdick. The network helps show where Ryan C. Burdick may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan C. Burdick, 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 | 2020 | 215 | |
| 2 | 2013 | 165 | |
| 3 | 2010 | 121 | |
| 4 | 2021 | 115 | |
| 5 | 2017 | 94 | |
| 6 | 2010 | 73 | |
| 7 | 2015 | 68 | |
| 8 | 2013 | 63 | |
| 9 | 2016 | 44 | |
| 10 | 2009 | 41 | |
| 11 | 2013 | 38 | |
| 12 | 2017 | 35 | |
| 13 | 2015 | 35 | |
| 14 | 2016 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2007 | 26 | |
| 17 | 2024 | 25 | |
| 18 | 2008 | 18 | |
| 19 | 2015 | 11 | |
| 20 | 2025 | 10 |
About Ryan C. Burdick
Ryan C. Burdick is a scholar working on Virology, Infectious Diseases, Molecular Biology, Epidemiology and Immunology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (24 papers), HIV/AIDS drug development and treatment (11 papers), Cytomegalovirus and herpesvirus research (7 papers), RNA Research and Splicing (4 papers), Immune Cell Function and Interaction (3 papers), HIV/AIDS Research and Interventions (3 papers), CRISPR and Genetic Engineering (3 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Virology (846 citations), Infectious Diseases (431 citations), Immunology (230 citations), Molecular Biology (605 citations) and Epidemiology (255 citations). Ryan C. Burdick has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Vinay K. Pathak, Wei-Shau Hu, Chenglei Li, Kunio Nagashima, Krista A. Delviks‐Frankenberry, T Izumi, Belete A. Desimmie, MohamedHusen Munshi, Jonathan Rawson and Dongfei Qi. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, PLoS ONE, PLoS Pathogens and Science Advances.
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.