Jonathan Warren
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS drug development and treatment 2
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Robert Esnouf (2 shared papers)D.K. Stammers (2 shared papers)Jan Balzarini (2 shared papers)David I. Stuart (2 shared papers)Jingshan Ren (2 shared papers)Andrew L. Hopkins (1 shared paper)Louise E. Bird (1 shared paper)John Milton (1 shared paper)
- Journals
- Biochemistry (1 paper)BMC Genomics (1 paper)Journal of Biological Chemistry (1 paper)Journal of the Royal Statistical Society Series D (The Statistician) (1 paper)Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences (1 paper)
- Partner nations
- United KingdomBelgiumSingapore
In The Last Decade
Jonathan Warren
6 papers receiving 218 citations
Peers
Comparison fields: 5 of 58
- Virology 92
- Infectious Diseases 118
- Modeling and Simulation 10
- Organic Chemistry 59
- Computational Theory and Mathematics 31
Countries citing papers authored by Jonathan Warren
This map shows the geographic impact of Jonathan Warren'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 Warren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Warren more than expected).
Fields of papers citing papers by Jonathan Warren
This network shows the impact of papers produced by Jonathan Warren. 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 Warren. The network helps show where Jonathan Warren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Warren, 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 | 2000 | 102 | |
| 2 | 1998 | 69 | |
| 3 | 1995 | 26 | |
| 4 | 2006 | 19 | |
| 5 | 1996 | 5 | |
| 6 | Algebra, analysis and probability for a coupled system of reaction diffusion equations | 1994 | 4 |
About Jonathan Warren
Jonathan Warren is a scholar working on Infectious Diseases, Virology, Epidemiology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 6 papers that have together received 225 indexed citations. Recurring topics across this work include HIV Research and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Mathematical Biology Tumor Growth (2 papers), Genetic and phenotypic traits in livestock (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Virology (92 citations), Infectious Diseases (118 citations), Modeling and Simulation (10 citations), Organic Chemistry (59 citations) and Computational Theory and Mathematics (31 citations). Jonathan Warren has collaborated with scholars based in United Kingdom, Belgium and Singapore. Frequent co-authors include Robert Esnouf, D.K. Stammers, Jan Balzarini, David I. Stuart, Jingshan Ren, Andrew L. Hopkins, Louise E. Bird, John Milton, Jonathan M. Diprose and Shinji Ikemizu. Their work appears in journals such as Biochemistry, BMC Genomics, Journal of Biological Chemistry, Journal of the Royal Statistical Society Series D (The Statistician) and Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences.
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.