D.P. Lunn

4.5k citations
113 papers · 3.3k · h-index 33

Impact in

Papers in

    • Herpesvirus Infections and Treatments 29
    • Influenza Virus Research Studies 10
    • T-cell and B-cell Immunology 15
    • Immune Cell Function and Interaction 13
    • Immune Response and Inflammation 12

D.P. Lunn

112 papers receiving 3.0k citations

Peers

D.P. Lunn
Comparison fields: 5 of 118
  • Equine 519
  • Agronomy and Crop Science 753
  • Immunology 956
  • Epidemiology 1.4k
  • Parasitology 284
Replace Bettina Wagner with:
Bettina Wagner United States
David W. Horohov United States
Ken Smith United Kingdom
Peter J. Timoney United States
Julia H. Kydd United Kingdom
Fábio Del Piero United States
J. R. Newton United Kingdom
F.J. Bourne United Kingdom
Dirk Werling United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by D.P. Lunn

Since Specialization
Citations

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

Fields of papers citing papers by D.P. Lunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.P. Lunn. 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.P. Lunn. The network helps show where D.P. Lunn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009242
2 2006162
3 2005110
4 199490
5 199985
6 200684
7 201079
8 200177
9 200565
10 201164
11
Three monoclonal antibodies identifying antigens on all equine T lymphocytes, and two mutually exclusive T-lymphocyte subsets.
199161
12 199859
13 199856
14 200455
15 200151
16 200351
17 199650
18 200749
19 200048
20 200446

About D.P. Lunn

D.P. Lunn is a scholar working on Epidemiology, Immunology, Agronomy and Crop Science, Equine and Molecular Biology, having authored 113 papers that have together received 3.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (29 papers), Veterinary Equine Medical Research (18 papers), Animal Disease Management and Epidemiology (18 papers), T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (13 papers), Immune Response and Inflammation (12 papers), Microbial infections and disease research (11 papers) and Influenza Virus Research Studies (10 papers). The work is most often cited by research in Equine (519 citations), Agronomy and Crop Science (753 citations), Immunology (956 citations), Epidemiology (1.4k citations) and Parasitology (284 citations). D.P. Lunn has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark A. Holmes, Stephen B. Hussey, C. Breathnach, Hugh G.G. Townsend, D.W. Horohov, Gisela Soboll Hussey, Nikolaus Osterrieder, W. P. H. Duffus, Lutz S. Goehring and Nicola Pusterla. Their work appears in journals such as Veterinary Immunology and Immunopathology, Journal of Veterinary Internal Medicine, Equine Veterinary Journal, Vaccine and American Journal of Veterinary Research.

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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