Danièlle Gunn‐Moore

6.7k citations
191 papers · 4.1k indexed · 1 hit paper · h-index 34

Impact in

  • Small Animals top 0.05%
    • Veterinary Medicine and Surgery
  • Equine top 0.5%
    • Veterinary Equine Medical Research

Papers in

    • Veterinary Medicine and Surgery 46
    • Infectious Diseases and Mycology 18

Danièlle Gunn‐Moore

173 papers receiving 3.8k citations

Hit Papers

Textbook of Veterinary Internal Medicine 2010 · 677 citations
6772010202620152020200400600

Peers

Danièlle Gunn‐Moore
Comparison fields: 5 of 128
  • Small Animals 1.6k
  • Equine 323
  • Microbiology 330
  • Infectious Diseases 975
  • Microbiology 38
Replace Stanley L. Marks with:
Stanley L. Marks United States
Ralf S. Mueller Germany
Richard Malík Australia
Leah A. Cohn United States
Edward C. Feldman United States
Ken Smith United Kingdom
Giselle Hosgood United States
Stephen J. Ettinger United States
Barton W. Rohrbach United States
Stephen M. Reed United States
Danièlle Gunn‐Moore relative to Stanley L. Marks United States Stanley L. Marks's profile →
Citations per field
00.5×3.1×
Stanley L. Marks · 1×
Citations per year

Countries citing papers authored by Danièlle Gunn‐Moore

Since Specialization
Citations

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

Fields of papers citing papers by Danièlle Gunn‐Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danièlle Gunn‐Moore. 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 Danièlle Gunn‐Moore. The network helps show where Danièlle Gunn‐Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20249
6 20226
7 20224
8 20215
9 20211
10 20202
11 20205
12 20202
13 20207
14 202010
15 202020
16 20193
17 201918
18 201814
19 200632
20 200668

About Danièlle Gunn‐Moore

Danièlle Gunn‐Moore is a scholar working on Small Animals, Equine, Microbiology, Microbiology and Virology, having authored 191 papers that have together received 4.1k indexed citations. Recurring topics across this work include Veterinary Medicine and Surgery (46 papers), Mycobacterium research and diagnosis (40 papers), Human-Animal Interaction Studies (32 papers), Tuberculosis Research and Epidemiology (29 papers), Infectious Diseases and Mycology (18 papers), Veterinary Oncology Research (17 papers), Animal Virus Infections Studies (14 papers) and Microbial infections and disease research (12 papers). The work is most often cited by research in Small Animals (1.6k citations), Equine (323 citations), Microbiology (330 citations), Infectious Diseases (975 citations) and Microbiology (38 citations). Danièlle Gunn‐Moore has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Kerry Simpson, Nicki Reed, Tim Gruffydd-Jones, Darren J. Shaw, D. A. Harbour, Séverine Tasker, Günther Strehlau, Jonathan N. King, Marie Cameron and Sarah Caney. Their work appears in journals such as Journal of Feline Medicine and Surgery, Veterinary Record, Journal of Veterinary Internal Medicine, Journal of Small Animal Practice and Transboundary and Emerging 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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