David J. Argyle

93 papers receiving 2.7k citations

Peers

David J. Argyle
Comparison fields: 5 of 141
  • Small Animals 236
  • Aging 47
  • Cancer Research 340
  • Pulmonary and Respiratory Medicine 683
  • Oncology 466
Replace Annapoorni Rangarajan with:
Annapoorni Rangarajan India
Sue E. Knoblaugh United States
Edward V. Maytin United States
Tadao Ohno Japan
Ricardo A. Feldman United States
Ekkehard Weber Germany
Christopher N. Mayhew United States
Sébastien Monette United States
Todd W. Ridky United States
Katherine K. Sanford United States
David J. Argyle relative to Annapoorni Rangarajan India Annapoorni Rangarajan's profile →
Citations per field
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Annapoorni Rangarajan · 1×
Citations per year

Countries citing papers authored by David J. Argyle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David J. Argyle Line = papers co-authored together David J. Argyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015167
2 2021166
3 2016158
4 2018150
5 2020113
6 2001109
7 202087
8 201681
9 201975
10 199874
11 201170
12 201368
13 201855
14 200952
15 200151
16 201442
17 202042
18 201142
19 201741
20 200539

About David J. Argyle

David J. Argyle is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Genetics and Cancer Research, having authored 96 papers that have together received 2.7k indexed citations. Recurring topics across this work include Veterinary Oncology Research (33 papers), Virus-based gene therapy research (15 papers), Cancer Cells and Metastasis (11 papers), Cancer Research and Treatments (10 papers), Immunotherapy and Immune Responses (8 papers), Cancer Genomics and Diagnostics (6 papers), Telomeres, Telomerase, and Senescence (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Small Animals (236 citations), Aging (47 citations), Cancer Research (340 citations), Pulmonary and Respiratory Medicine (683 citations) and Oncology (466 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 Hurst, Dylan N. Clements, Lubna Nasir, Craig Johnson, James Meehan, Ian Kunkler and Simon P. Langdon. Their work appears in journals such as The Veterinary Journal, BMC Veterinary Research, PLoS ONE, Frontiers in Oncology and Journal of Veterinary Internal Medicine.

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.

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