D.P. Mackie

2.3k citations
68 papers · 1.9k · h-index 25

Impact in

Papers in

D.P. Mackie

65 papers receiving 1.7k citations

Peers

D.P. Mackie
Comparison fields: 5 of 67
  • Animal Science and Zoology 727
  • Infectious Diseases 935
  • Microbiology 319
  • Parasitology 190
  • Agronomy and Crop Science 293
Replace Vivi Bille‐Hansen with:
Vivi Bille‐Hansen Denmark
Grazia Greco Italy
G. Dhinakar Raj India
Gary A. Anderson United States
Daniel P. Shaw United States
Dale L. Godson Canada
J. H. Gillespie United States
Z. Pejsak Poland
C. H. Domermuth United States
Calvin L. Keeler United States
D.P. Mackie relative to Vivi Bille‐Hansen Denmark Vivi Bille‐Hansen's profile →
Citations per field
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Vivi Bille‐Hansen · 1×
Citations per year

Countries citing papers authored by D.P. Mackie

Since Specialization
Citations

This map shows the geographic impact of D.P. Mackie'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. Mackie 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. Mackie more than expected).

Fields of papers citing papers by D.P. Mackie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999164
2 1990130
3 2001112
4 199698
5 199495
6 200180
7 198275
8 199371
9 199467
10 199261
11 198556
12 197948
13 200145
14
Identification of bovine T-cell epitopes for three Mycobacterium bovis antigens: MPB70, 19,000 MW and MPB57.
199444
15 199044
16
Development of an enzyme-linked immunosorbent assay to detect serum antibody to chicken anemia agent.
199037
17 199036
18 200133
19 199531
20 198930

About D.P. Mackie

D.P. Mackie is a scholar working on Microbiology, Agronomy and Crop Science, Epidemiology, Infectious Diseases and Animal Science and Zoology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial infections and disease research (21 papers), Milk Quality and Mastitis in Dairy Cows (18 papers), Animal Virus Infections Studies (12 papers), Mycobacterium research and diagnosis (8 papers), Virus-based gene therapy research (8 papers), Leptospirosis research and findings (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Animal Science and Zoology (727 citations), Infectious Diseases (935 citations), Microbiology (319 citations), Parasitology (190 citations) and Agronomy and Crop Science (293 citations). D.P. Mackie has collaborated with scholars based in United Kingdom, Ireland and Canada. Frequent co-authors include M. S. McNulty, D. Todd, J.M. Pollock, E. Logan, J. McNair, Gordon Allan, S. Neill, D.A. Pollock, H.J. Ball and S.D. Neill. Their work appears in journals such as Veterinary Record, Research in Veterinary Science, Veterinary Microbiology, Veterinary Immunology and Immunopathology and Avian Diseases.

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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