Don Jeffries
- Virology top 5%
- HIV Research and Treatment 8
- Microbiology top 5%
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment 7
- HIV/AIDS Research and Interventions 6
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- Herpesvirus Infections and Treatments 10
- Cytomegalovirus and herpesvirus research 7
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- Virus-based gene therapy research 2
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- Lymphadenopathy Diagnosis and Analysis 2
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- T-cell and Retrovirus Studies 2
- Co-authors
- H. O. KangroDerek KinchingtonBrian GazzardJonathan WeberJ.V. CollinsAndrew NunnRichard S. TedderPaul Cornes
- Journals
- Antiviral chemistry & chemotherapy (3 papers)The Lancet (3 papers)Journal of Medical Virology (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Don Jeffries
23 papers receiving 472 citations
Peers
Comparison fields: 5 of 69
- Virology 178
- Microbiology 94
- Infectious Diseases 260
- Epidemiology 239
- Rheumatology 33
Countries citing papers authored by Don Jeffries
This map shows the geographic impact of Don Jeffries'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 Don Jeffries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Jeffries more than expected).
Fields of papers citing papers by Don Jeffries
This network shows the impact of papers produced by Don Jeffries. 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 Don Jeffries. The network helps show where Don Jeffries may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Don Jeffries, 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 | 2006 | 1 | |
| 2 | 2002 | 30 | |
| 3 | 2001 | 64 | |
| 4 | 1999 | 8 | |
| 5 | 1997 | 96 | |
| 6 | 1997 | 4 | |
| 7 | Cloning, expression, and immunogenicity of the assembly protein of varicella-zoster virus and detection of the products of open reading frame 33. | 1997 | 5 |
| 8 | 1995 | 70 | |
| 9 | 1995 | 3 | |
| 10 | 1993 | 67 | |
| 11 | 1993 | 9 | |
| 12 | 1991 | 9 | |
| 13 | 1989 | 15 | |
| 14 | 1989 | 2 | |
| 15 | 1987 | 51 | |
| 16 | 1985 | 3 | |
| 17 | 1985 | 28 | |
| 18 | 1985 | 3 | |
| 19 | 1984 | 1 | |
| 20 | 1979 | 17 |
About Don Jeffries
Don Jeffries is a scholar working on Virology, Infectious Diseases and Microbiology, having authored 24 papers that have together received 506 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), HIV Research and Treatment (8 papers), Cytomegalovirus and herpesvirus research (7 papers), HIV/AIDS drug development and treatment (7 papers), HIV/AIDS Research and Interventions (6 papers), Virus-based gene therapy research (2 papers), Lymphadenopathy Diagnosis and Analysis (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Virology (178 citations), Microbiology (94 citations) and Infectious Diseases (260 citations). Don Jeffries has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include H. O. Kangro, Derek Kinchington, Brian Gazzard, Jonathan Weber, J.V. Collins, Andrew Nunn, Richard S. Tedder, Paul Cornes, Steve Kaye and Tim O’Connor. Their work appears in journals such as Antiviral chemistry & chemotherapy, The Lancet, Journal of Medical Virology, International Journal of STD & AIDS and Journal of Clinical Microbiology.
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.