David J. Paton

13.2k total citations · 1 hit paper
249 papers, 10.3k citations indexed

About

David J. Paton is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David J. Paton has authored 249 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Agronomy and Crop Science, 150 papers in Cardiology and Cardiovascular Medicine and 137 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David J. Paton's work include Animal Disease Management and Epidemiology (179 papers), Viral Infections and Immunology Research (150 papers) and Vector-Borne Animal Diseases (137 papers). David J. Paton is often cited by papers focused on Animal Disease Management and Epidemiology (179 papers), Viral Infections and Immunology Research (150 papers) and Vector-Borne Animal Diseases (137 papers). David J. Paton collaborates with scholars based in United Kingdom, Italy and United States. David J. Paton's co-authors include Štefan Vilček, J.Paul Lowings, Donald P. King, Satya Parida, Nick J. Knowles, S. Done, G. Ibata, P. F. Nettleton, Simon Gubbins and I. Greiser‐Wilke and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David J. Paton

243 papers receiving 9.6k citations

Hit Papers

Pestiviruses isolated fro... 1994 2026 2004 2015 1994 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David J. Paton 7.5k 5.8k 5.3k 2.5k 1.7k 249 10.3k
Ν. James MacLachlan 4.7k 0.6× 5.1k 0.9× 892 0.2× 5.1k 2.0× 1.5k 0.9× 204 8.3k
Søren Alexandersen 4.4k 0.6× 3.0k 0.5× 3.3k 0.6× 2.5k 1.0× 1.9k 1.1× 154 7.4k
Yuan Sun 1.8k 0.2× 954 0.2× 1.2k 0.2× 1.1k 0.4× 979 0.6× 206 4.0k
Donald P. King 4.4k 0.6× 3.4k 0.6× 3.6k 0.7× 1.4k 0.6× 741 0.4× 248 7.1k
Charles A. Mebus 1.4k 0.2× 1.4k 0.2× 758 0.1× 2.2k 0.9× 1.2k 0.7× 130 5.4k
Deborah M. Haines 1.4k 0.2× 578 0.1× 870 0.2× 3.3k 1.3× 2.7k 1.6× 181 7.1k
Mariano Domingo 1.1k 0.1× 607 0.1× 1.6k 0.3× 4.7k 1.9× 4.3k 2.6× 213 8.2k
James A. Roth 2.2k 0.3× 679 0.1× 710 0.1× 1.6k 0.6× 1.3k 0.8× 262 7.8k
U. Braun 1.5k 0.2× 796 0.1× 209 0.0× 1.0k 0.4× 935 0.6× 372 5.8k
J.C. Gómez-Villamandos 1.7k 0.2× 1.4k 0.2× 569 0.1× 1.0k 0.4× 595 0.4× 137 3.1k

Countries citing papers authored by David J. Paton

Since Specialization
Citations

This map shows the geographic impact of David J. Paton'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. Paton 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. Paton more than expected).

Fields of papers citing papers by David J. Paton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Paton. 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. Paton. The network helps show where David J. Paton may publish in the future.

Co-authorship network of co-authors of David J. Paton

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Paton. A scholar is included among the top collaborators of David J. Paton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Paton. David J. Paton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wood, Benjamin A., Nathan T. Harvey, Nima Mesbah Ardakani, & David J. Paton. (2024). Bowen disease is not synonymous with intraepidermal squamous cell carcinoma. Pathology. 56(3). 322–324. 1 indexed citations
3.
Keesing, John K., Daniel Agustín Godoy, Russell C. Babcock, et al.. (2023). The short spined crown-of-thorns starfish Acanthaster brevispinus is a corallivore too. Coral Reefs. 42(2). 399–404. 6 indexed citations
4.
Franklin, Wally, et al.. (2023). Movement of two humpback whales (Megaptera novaeangliae) satellite-radio tagged off Eden, NSW and matched by photo-identification with the Hervey Bay catalogue. ˜The œjournal of cetacean research and management. Special issue. 17(1). 29–33. 2 indexed citations
5.
Ludi, Anna B., Ginette Wilsden, Clare Browning, et al.. (2023). The Immunogenicity of a Foot-and-Mouth Disease Virus Serotype O Vaccine in Commercial and Subsistence Cattle Herds in Zambia. Vaccines. 11(12). 1818–1818. 1 indexed citations
6.
Ludi, Anna B., Simon Gubbins, Amin S. Asfor, et al.. (2022). Cross-Serotype Reactivity of ELISAs Used to Detect Antibodies to the Structural Proteins of Foot-and-Mouth Disease Virus. Viruses. 14(7). 1495–1495. 9 indexed citations
7.
Gubbins, Simon, David J. Paton, A. Dekker, et al.. (2022). Predicting cross-protection against foot-and-mouth disease virus strains by serology after vaccination. Frontiers in Veterinary Science. 9. 1027006–1027006. 17 indexed citations
8.
Lyons, Nicholas A., Théodore Knight-Jones, C.J.M. Bartels, et al.. (2019). Considerations for design and implementation of vaccine field trials for novel foot-and-mouth disease vaccines. Vaccine. 37(8). 1007–1015. 14 indexed citations
9.
Wright, Caroline F., Marco J. Morelli, Gaël Thébaud, et al.. (2010). Beyond the Consensus: Dissecting Within-Host Viral Population Diversity of Foot-and-Mouth Disease Virus by Using Next-Generation Genome Sequencing. Journal of Virology. 85(5). 2266–2275. 114 indexed citations
10.
Reid, Scott M., David J. Paton, Ginette Wilsden, et al.. (2004). Use of Automated Real-time Reverse Transcription-Polymerase Chain Reaction (RT-PCR) to Monitor Experimental Swine Vesicular Disease Virus Infection in Pigs. Journal of Comparative Pathology. 131(4). 308–317. 9 indexed citations
11.
Parchariyanon, Sujira, et al.. (2000). Sequence analysis of E2 glycoprotein genes of classical swine fever viruses: identification of a novel genogroup in Thailand.. PubMed. 107(6). 236–8. 22 indexed citations
13.
Rijn, Piet A. van, René G. P. van Gennip, Christianne Bruschke, et al.. (1997). Subdivision of thePestivirusGenus Based on Envelope Glycoprotein E2. Virology. 237(2). 337–348. 106 indexed citations
15.
Koch, Douglas D., D. Wilkin Parke, David J. Paton, & John V. Lovasik. (1983). CURRENT MANAGEMENT IN OPHTHALMOLOGY. Optometry and Vision Science. 60(4). 345–345. 2 indexed citations
16.
Paton, David J., et al.. (1978). The McCarey-Kaufman medium and penicillin allergy.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9(5). 43–6. 1 indexed citations
17.
Emery, Jared M., et al.. (1976). Current concepts in cataract surgery : selected proceedings of the fourth biennial Cataract Surgical Congress. Mosby eBooks. 9 indexed citations
18.
Paton, David J.. (1972). The relation of angioid streaks to systemic disease. Thomas eBooks. 28 indexed citations
19.
Paton, David J. & Morton F. Goldberg. (1969). Injuries of the Eye. the Lids, and the Orbit. Optometry and Vision Science. 46(4). 302–302. 5 indexed citations
20.
Paton, David J. & Morton F. Goldberg. (1968). Injuries of the eye, the lids, and the orbit : diagnosis and management. Saunders eBooks. 2 indexed citations

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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