Jonathan Rawson

803 citations
23 papers · 559 indexed · h-index 13

Impact in

Papers in

    • HIV Research and Treatment 15
    • HIV/AIDS drug development and treatment 11
    • SARS-CoV-2 and COVID-19 Research 3
    • HIV/AIDS Research and Interventions 3
    • COVID-19 Clinical Research Studies 3

Jonathan Rawson

23 papers receiving 555 citations

Peers

Jonathan Rawson
Comparison fields: 5 of 63
  • Virology 325
  • Infectious Diseases 242
  • Immunology 102
  • Agronomy and Crop Science 43
  • Molecular Biology 261
Replace Terri D. Lyddon with:
Terri D. Lyddon United States
Nikoloz Shkriabai United States
Sayuri Sakuragi Japan
Aitziber Agirre Spain
Miranda Shehu-Xhilaga Australia
Parmit K. Singh United States
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E. A. Cohen United States
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Citations per field
00.5×3.2×
Terri D. Lyddon · 1×
Citations per year

Countries citing papers authored by Jonathan Rawson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jonathan Rawson Line = papers co-authored together Jonathan Rawson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202310
2 202311
3 202311
4 20223
5 202212
6 202118
7 202137
8 2020205
9 202023
10 201829
11 201710
12 201614
13 201611
14 20157
15 201533
16 201422
17 201323
18 201129
19 20112
20 201032

About Jonathan Rawson

Jonathan Rawson is a scholar working on Virology, Infectious Diseases, Agronomy and Crop Science, Immunology and Biophysics, having authored 23 papers that have together received 559 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (11 papers), CRISPR and Genetic Engineering (6 papers), Cytomegalovirus and herpesvirus research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), HIV/AIDS Research and Interventions (3 papers), COVID-19 Clinical Research Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Virology (325 citations), Infectious Diseases (242 citations), Immunology (102 citations), Agronomy and Crop Science (43 citations) and Molecular Biology (261 citations). Jonathan Rawson has collaborated with scholars based in United States. Frequent co-authors include Vinay K. Pathak, Wei-Shau Hu, Louis M. Mansky, Chenglei Li, Ryan C. Burdick, MohamedHusen Munshi, Kunio Nagashima, 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.

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