N. Edington

2.7k citations
80 papers · 2.3k · h-index 26

Impact in

  • Equine top 2%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 38
    • Cytomegalovirus and herpesvirus research 13
    • T-cell and Retrovirus Studies 10

N. Edington

80 papers receiving 2.0k citations

Peers

N. Edington
Comparison fields: 5 of 87
  • Equine 80
  • Epidemiology 1.5k
  • Agronomy and Crop Science 457
  • Parasitology 279
  • Immunology 531
Replace Donal O’Toole with:
Donal O’Toole United States
B. Klingeborn Sweden
Falko Steinbach United Kingdom
Keith L. Banks United States
Franco Guscetti Switzerland
M. Mérza Sweden
J. B. Henson United States
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Citations per field
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Citations per year

Countries citing papers authored by N. Edington

Since Specialization
Citations

This map shows the geographic impact of N. Edington'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 N. Edington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Edington more than expected).

Fields of papers citing papers by N. Edington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Edington. 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 N. Edington. The network helps show where N. Edington may publish in the future.

Co-authors

The 25 scholars most cited alongside N. Edington, 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 N. Edington Line = papers co-authored together N. Edington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986184
2 1992167
3 1985122
4 1982113
5 1991111
6 1994109
7 199490
8 199770
9 199246
10 197643
11 199843
12 198342
13 197540
14 197940
15 199940
16 197739
17 200137
18 199437
19 197136
20 197633

About N. Edington

N. Edington is a scholar working on Epidemiology, Immunology, Animal Science and Zoology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (38 papers), Cytomegalovirus and herpesvirus research (13 papers), Vector-Borne Animal Diseases (11 papers), T-cell and Retrovirus Studies (10 papers), Animal Virus Infections Studies (10 papers), Virus-based gene therapy research (9 papers), Neurological diseases and metabolism (7 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Equine (80 citations), Epidemiology (1.5k citations), Agronomy and Crop Science (457 citations), Parasitology (279 citations) and Immunology (531 citations). N. Edington has collaborated with scholars based in United Kingdom, Canada and Mexico. Frequent co-authors include C G Bridges, Jay Patel, Linda Griffiths, Hazel Welch, W. Plowright, A Purewal, J Jacobs, Anne S. Hamblin, J.McC. Howell and J. A. Mumford. Their work appears in journals such as Veterinary Microbiology, Research in Veterinary Science, Journal of Comparative Pathology, Veterinary Immunology and Immunopathology and Journal of General Virology.

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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