D.J. Blackmore

667 citations
33 papers · 494 · h-index 12

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis

Papers in

D.J. Blackmore

33 papers receiving 421 citations

Peers

D.J. Blackmore
Comparison fields: 5 of 103
  • Equine 111
  • Toxicology 43
  • Small Animals 70
  • Clinical Biochemistry 27
  • Cell Biology 63
Replace Denise A. Elliott with:
Denise A. Elliott United States
D. E. AUER Australia
Márcia Mery Kogika Brazil
P. Nowakowski Poland
P. Bénard France
Jim Moore United States
Chollada Buranakarl Thailand
William D. Schall United States
Lori A. Koehler United States
Shelley Burton Canada
D.J. Blackmore relative to Denise A. Elliott United States Denise A. Elliott's profile →
Citations per field
00.5×10×14.3×
Denise A. Elliott · 1×
Citations per year

Countries citing papers authored by D.J. Blackmore

Since Specialization
Citations

This map shows the geographic impact of D.J. 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.J. 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.J. Blackmore more than expected).

Fields of papers citing papers by D.J. Blackmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside D.J. 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.J. Blackmore Line = papers co-authored together D.J. Blackmore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197282
2 196861
3 197044
4 197526
5 198526
6 198225
7 198318
8 197717
9
Biochemical values in equine medicine.
198117
10 198216
11 197116
12 196112
13
Selenium and gamma-glutamyl transferase activity in the serum of thoroughbreds.
197911
14 196311
15 197011
16 197910
17 19839
18 19788
19 19788
20
Salinity management in the Murray-Darling Basin
20007

About D.J. Blackmore

D.J. Blackmore is a scholar working on Molecular Biology, Small Animals, Physiology, Nutrition and Dietetics and Animal Science and Zoology, having authored 33 papers that have together received 494 indexed citations. Recurring topics across this work include Trace Elements in Health (5 papers), Animal health and immunology (4 papers), Veterinary Equine Medical Research (4 papers), Animal Nutrition and Physiology (3 papers), Selenium in Biological Systems (3 papers), Plant Toxicity and Pharmacological Properties (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Equine (111 citations), Toxicology (43 citations), Small Animals (70 citations), Clinical Biochemistry (27 citations) and Cell Biology (63 citations). D.J. Blackmore has collaborated with scholars based in United Kingdom, Greece and India. Frequent co-authors include J.E. Kent, A. S. Curry, Daniel M. Elton, Geoff S. Higgins, Henry Matthew, Daniel Brobst, S. S. Brown, B. W. Meade, B Widdop and Roy Goulding. Their work appears in journals such as Research in Veterinary Science, Equine Veterinary Journal, Journal of Clinical Pathology, Journal of Applied Physiology and Medicine Science and the Law.

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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