David J. Argyle
Impact in
- Small Animals top 1%
- Infectious Diseases and Mycology
- Aging top 5%
Papers in
-
- Veterinary Oncology Research 33
- Oncology 25
- Cancer Cells and Metastasis 13
- Cancer-related Molecular Pathways 6
- Co-authors
- Lisa Y. Pang (23 shared papers)Takanori Kitamura (2 shared papers)Mark Gray (17 shared papers)Emma A. Hurst (2 shared papers)James R. Meehan (12 shared papers)Lubna Nasir (10 shared papers)Dylan Neil Clements (3 shared papers)Craig I. Johnson (1 shared paper)
- Journals
- The Veterinary Journal (13 papers)BMC Veterinary Research (5 papers)Journal of Veterinary Internal Medicine (4 papers)PLoS ONE (4 papers)Frontiers in Oncology (4 papers)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
David J. Argyle
100 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 148
- Small Animals 262
- Aging 53
- Cancer Research 370
- Pulmonary and Respiratory Medicine 770
- Oncology 523
Countries citing papers authored by David J. Argyle
This map shows the geographic impact of David 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 David 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 David J. Argyle more than expected).
Fields of papers citing papers by David J. Argyle
This network shows the impact of papers produced by David 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 David J. Argyle. The network helps show where David J. Argyle may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 176 | |
| 2 | 2015 | 175 | |
| 3 | 2016 | 165 | |
| 4 | 2018 | 161 | |
| 5 | 2020 | 130 | |
| 6 | 2001 | 117 | |
| 7 | 2020 | 94 | |
| 8 | 2016 | 86 | |
| 9 | 1998 | 80 | |
| 10 | 2017 | 79 | |
| 11 | 2019 | 78 | |
| 12 | 2011 | 77 | |
| 13 | 2013 | 75 | |
| 14 | 2018 | 60 | |
| 15 | 2009 | 58 | |
| 16 | 2001 | 57 | |
| 17 | 2020 | 51 | |
| 18 | 2011 | 46 | |
| 19 | 2017 | 46 | |
| 20 | 2014 | 44 |
About David J. Argyle
David J. Argyle is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Genetics and Biotechnology, having authored 104 papers that have together received 3.1k indexed citations. Recurring topics across this work include Veterinary Oncology Research (33 papers), Virus-based gene therapy research (16 papers), Cancer Cells and Metastasis (13 papers), Cancer Research and Treatments (11 papers), Immunotherapy and Immune Responses (8 papers), Cancer-related Molecular Pathways (6 papers), Cancer Genomics and Diagnostics (6 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Small Animals (262 citations), Aging (53 citations), Cancer Research (370 citations), Pulmonary and Respiratory Medicine (770 citations) and Oncology (523 citations). David J. Argyle has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Lisa Y. Pang, Takanori Kitamura, Mark Gray, Emma A. Hurst, James R. Meehan, Lubna Nasir, Dylan Neil Clements, Craig I. Johnson, Ian H. Kunkler and Simon P. Langdon. Their work appears in journals such as The Veterinary Journal, BMC Veterinary Research, Journal of Veterinary Internal Medicine, PLoS ONE and Frontiers in Oncology.
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.