Jonathan Rawson
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
- Virology 14
- HIV Research and Treatment 14
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- HIV/AIDS drug development and treatment 10
- HIV/AIDS Research and Interventions 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Wei-Shau Hu (8 shared papers)Vinay K. Pathak (8 shared papers)Louis M. Mansky (12 shared papers)MohamedHusen Munshi (1 shared paper)Ryan C. Burdick (1 shared paper)Kunio Nagashima (1 shared paper)Chenglei Li (1 shared paper)Olga A. Nikolaitchik (7 shared papers)
- Journals
- Retrovirology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Viruses (2 papers)
- Partner nations
- United States
In The Last Decade
Jonathan Rawson
23 papers receiving 594 citations
Peers
Comparison fields: 5 of 62
- Virology 336
- Infectious Diseases 231
- Immunology 108
- Agronomy and Crop Science 42
- Molecular Biology 273
Countries citing papers authored by Jonathan Rawson
This map shows the geographic impact of Jonathan Rawson'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 Rawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Rawson more than expected).
Fields of papers citing papers by Jonathan Rawson
This network shows the impact of papers produced by Jonathan Rawson. 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 Rawson. The network helps show where Jonathan Rawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Rawson, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 215 | |
| 2 | 2021 | 39 | |
| 3 | 2015 | 33 | |
| 4 | 2010 | 32 | |
| 5 | 2011 | 32 | |
| 6 | 2018 | 31 | |
| 7 | 2013 | 25 | |
| 8 | 2014 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2021 | 20 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2016 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2015 | 7 | |
| 20 | 2014 | 5 |
About Jonathan Rawson
Jonathan Rawson is a scholar working on Virology, Infectious Diseases, Molecular Biology, Epidemiology and Immunology, having authored 23 papers that have together received 601 indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), HIV/AIDS drug development and treatment (10 papers), Cytomegalovirus and herpesvirus research (5 papers), CRISPR and Genetic Engineering (5 papers), HIV/AIDS Research and Interventions (3 papers), RNA and protein synthesis mechanisms (3 papers), COVID-19 Clinical Research Studies (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Virology (336 citations), Infectious Diseases (231 citations), Immunology (108 citations), Agronomy and Crop Science (42 citations) and Molecular Biology (273 citations). Jonathan Rawson has collaborated with scholars based in United States. Frequent co-authors include Wei-Shau Hu, Vinay K. Pathak, Louis M. Mansky, MohamedHusen Munshi, Ryan C. Burdick, Kunio Nagashima, Chenglei Li, Olga A. Nikolaitchik, Sean R. Landman and Cavan Reilly. Their work appears in journals such as Retrovirology, Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry and Viruses.
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.