Gavin W. G. Wilkinson
- Parasitology top 0.2%
- Toxoplasma gondii Research Studies 15
- Epidemiology top 0.2%
- Cytomegalovirus and herpesvirus research 61
- Herpesvirus Infections and Treatments 32
- Immunology top 0.5%
- Immune Cell Function and Interaction 27
- T-cell and B-cell Immunology 13
- Virology top 1%
- Genetics top 2%
- Virus-based gene therapy research 28
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- Viral Infectious Diseases and Gene Expression in Insects 7
- RNA Interference and Gene Delivery 6
- Co-authors
- Brian P. McSharryPeter TomašecRichard J. StantonA. AkriggAndrew J. DavisonEddie C. Y. WangCarole RickardsLeszek K. Borysiewicz
- Cited by
- ParasitologyEpidemiologyImmunology
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Gavin W. G. Wilkinson
100 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Parasitology 1.2k
- Epidemiology 5.6k
- Immunology 3.2k
- Virology 567
- Genetics 1.1k
Countries citing papers authored by Gavin W. G. Wilkinson
This map shows the geographic impact of Gavin W. G. Wilkinson'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 Gavin W. G. Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin W. G. Wilkinson more than expected).
Fields of papers citing papers by Gavin W. G. Wilkinson
This network shows the impact of papers produced by Gavin W. G. Wilkinson. 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 Gavin W. G. Wilkinson. The network helps show where Gavin W. G. Wilkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gavin W. G. Wilkinson, 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 | 2023 | 7 | |
| 2 | 2021 | 26 | |
| 3 | 2020 | 5 | |
| 4 | 2017 | 56 | |
| 5 | 2017 | 10 | |
| 6 | 2015 | 113 | |
| 7 | 2015 | 13 | |
| 8 | 2014 | 57 | |
| 9 | 2014 | 61 | |
| 10 | 2010 | 68 | |
| 11 | 2004 | 55 | |
| 12 | 1998 | 11 | |
| 13 | 1997 | 3 | |
| 14 | 1997 | 64 | |
| 15 | 1996 | 24 | |
| 16 | 1996 | 426 | |
| 17 | 1995 | 62 | |
| 18 | 1995 | 12 | |
| 19 | 1994 | 44 | |
| 20 | 1993 | 82 |
About Gavin W. G. Wilkinson
Gavin W. G. Wilkinson is a scholar working on Parasitology, Epidemiology and Immunology, having authored 101 papers that have together received 8.0k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (61 papers), Herpesvirus Infections and Treatments (32 papers), Virus-based gene therapy research (28 papers), Immune Cell Function and Interaction (27 papers), Toxoplasma gondii Research Studies (15 papers), T-cell and B-cell Immunology (13 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Parasitology (1.2k citations), Epidemiology (5.6k citations) and Immunology (3.2k citations). Gavin W. G. Wilkinson has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Brian P. McSharry, Peter Tomašec, Richard J. Stanton, A. Akrigg, Andrew J. Davison, Eddie C. Y. Wang, Carole Rickards, Leszek K. Borysiewicz, Charles Cunningham and Paul J. Lehner. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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.