D. J. Argyle
Impact in
- Small Animals top 1%
- Infectious Diseases and Mycology
-
- Veterinary Oncology Research
Papers in
-
- RNA Interference and Gene Delivery 4
- Genetics 19
- Virus-based gene therapy research 15
- Animal Genetics and Reproduction 5
- Co-authors
- Lisa Y. Pang (6 shared papers)Karine Savary-Bataille (2 shared papers)L. Nasir (12 shared papers)E. A. Gault (10 shared papers)Felisbina L. Queiroga (3 shared papers)Teresa P. Raposo (3 shared papers)Mark Gray (2 shared papers)Laura Blackwood (3 shared papers)
- Journals
- Veterinary and Comparative Oncology (19 papers)The Veterinary Journal (11 papers)Journal of Small Animal Practice (5 papers)Veterinary Immunology and Immunopathology (3 papers)Veterinary Record (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
D. J. Argyle
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Small Animals 307
- Pulmonary and Respiratory Medicine 606
- Equine 25
- Oncology 327
- Biotechnology 108
Countries citing papers authored by D. J. Argyle
This map shows the geographic impact of D. J. Argyle'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 D. J. Argyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Argyle more than expected).
Fields of papers citing papers by D. J. Argyle
This network shows the impact of papers produced by D. J. Argyle. 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 D. J. Argyle. The network helps show where D. J. Argyle may publish in the future.
Co-authors
The 25 scholars most cited alongside D. J. Argyle, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 179 | |
| 2 | 2018 | 134 | |
| 3 | 2010 | 101 | |
| 4 | 2007 | 92 | |
| 5 | 2015 | 85 | |
| 6 | 2012 | 60 | |
| 7 | 2003 | 49 | |
| 8 | 2013 | 40 | |
| 9 | 2006 | 39 | |
| 10 | 2001 | 39 | |
| 11 | 2015 | 37 | |
| 12 | 2017 | 34 | |
| 13 | 2008 | 34 | |
| 14 | 2012 | 31 | |
| 15 | 2010 | 31 | |
| 16 | 2006 | 30 | |
| 17 | 2009 | 28 | |
| 18 | 2002 | 28 | |
| 19 | 2011 | 28 | |
| 20 | 2006 | 26 |
About D. J. Argyle
D. J. Argyle is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Veterinary Oncology Research (13 papers), Cancer Research and Treatments (8 papers), Cancer Cells and Metastasis (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Immunotherapy and Immune Responses (6 papers), Animal Genetics and Reproduction (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Small Animals (307 citations), Pulmonary and Respiratory Medicine (606 citations), Equine (25 citations), Oncology (327 citations) and Biotechnology (108 citations). D. J. Argyle has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Lisa Y. Pang, Karine Savary-Bataille, L. Nasir, E. A. Gault, Felisbina L. Queiroga, Teresa P. Raposo, Mark Gray, Laura Blackwood, Simon P. Langdon and James Meehan. Their work appears in journals such as Veterinary and Comparative Oncology, The Veterinary Journal, Journal of Small Animal Practice, Veterinary Immunology and Immunopathology and Veterinary Record.
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.