D.K. Blackmore

2.1k citations
82 papers · 1.6k · h-index 22

Impact in

Papers in

D.K. Blackmore

81 papers receiving 1.4k citations

Peers

D.K. Blackmore
Comparison fields: 5 of 123
  • Parasitology 363
  • Small Animals 334
  • Animal Science and Zoology 352
  • Hepatology 154
  • Microbiology 107
Replace A.J. Husband with:
A.J. Husband Australia
Patricia A. Pesavento United States
Petr Králík Czechia
Thomas W. Jungi Switzerland
Kathleen B. Madden United States
Yumi Une Japan
Eugene H. Johnson Oman
Laurel J. Gershwin United States
Randall E. Junge United States
Richard Lucius Germany
D.K. Blackmore relative to A.J. Husband Australia A.J. Husband's profile →
Citations per field
00.5×10.3×
A.J. Husband · 1×
Citations per year

Countries citing papers authored by D.K. Blackmore

Since Specialization
Citations

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

Fields of papers citing papers by D.K. Blackmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981177
2 197180
3 198275
4 198258
5 198457
6 196653
7 198250
8 198947
9 198145
10 198938
11
The magnitude and duration of titres of leptospiral agglutinins in human sera.
198438
12 198133
13 198232
14 197832
15 198532
16 197932
17 199630
18 199028
19
The occupational hazards of leptospirosis in the meat industry.
198223
20 198123

About D.K. Blackmore

D.K. Blackmore is a scholar working on Parasitology, Animal Science and Zoology, Infectious Diseases, Small Animals and Public Health, Environmental and Occupational Health, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Leptospirosis research and findings (17 papers), Meat and Animal Product Quality (14 papers), Viral Infections and Vectors (8 papers), Advanced Chemical Sensor Technologies (7 papers), Streptococcal Infections and Treatments (7 papers), Microbial infections and disease research (6 papers), Vector-borne infectious diseases (5 papers) and Veterinary medicine and infectious diseases (4 papers). The work is most often cited by research in Parasitology (363 citations), Small Animals (334 citations), Animal Science and Zoology (352 citations), Hepatology (154 citations) and Microbiology (107 citations). D.K. Blackmore has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include J.C. Newhook, Ian Robertson, S.C. Hathaway, R.B. Marshall, Michael F. W. Festing, Linda M. Schollum, William T. London, Harrison Alter, Robert H. Purcell and H. P. Dienes. Their work appears in journals such as New Zealand Veterinary Journal, Veterinary Record, Journal of Small Animal Practice, Laboratory Animals and Epidemiology and Infection.

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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