Nick Cave

85 papers receiving 1.8k citations

Peers

Nick Cave
Comparison fields: 5 of 120
  • Equine 139
  • Small Animals 615
  • Genetics 425
  • Animal Science and Zoology 154
  • Physiology 301
Replace Frederic P. Gaschen with:
Frederic P. Gaschen Switzerland
Peter D. Mansell Australia
Ralf S. Mueller Germany
Dawn E. Morin United States
Charlotte Reinhard Bjørnvad Denmark
Roger M. Batt United Kingdom
W.J. Penhale Australia
Stanley L. Marks United States
Danny W. Scott United States
Sylvie Chastant‐Maillard France
Nick Cave relative to Frederic P. Gaschen Switzerland Frederic P. Gaschen's profile →
Citations per field
00.5×2×2.8×
Frederic P. Gaschen · 1×
Citations per year

Countries citing papers authored by Nick Cave

Since Specialization
Citations

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

Fields of papers citing papers by Nick Cave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick Cave. 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 Nick Cave. The network helps show where Nick Cave may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011206
2 2017166
3 2012108
4 200293
5 200782
6 201177
7 201973
8 200663
9 202062
10 201462
11 201949
12 201846
13 201945
14 201642
15 201234
16 201033
17 201631
18 200730
19 200726
20 201525

About Nick Cave

Nick Cave is a scholar working on Small Animals, Equine, Physiology, Nutrition and Dietetics and Genetics, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Veterinary Medicine and Surgery (14 papers), Veterinary Orthopedics and Neurology (10 papers), Human-Animal Interaction Studies (10 papers), Diet and metabolism studies (10 papers), Phytoestrogen effects and research (6 papers), Clinical Nutrition and Gastroenterology (6 papers), Veterinary Equine Medical Research (6 papers) and Veterinary Oncology Research (5 papers). The work is most often cited by research in Equine (139 citations), Small Animals (615 citations), Genetics (425 citations), Animal Science and Zoology (154 citations) and Physiology (301 citations). Nick Cave has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include David G. Thomas, Emma N. Bermingham, Wayne Young, Robert C. Backus, Paul Haydon Maclean, Stanley L. Marks, Magdalena Dunowska, Gregg Takashima, Peter van Beukelen and Iveta Bečvářová. Their work appears in journals such as New Zealand Veterinary Journal, Journal of Animal Physiology and Animal Nutrition, Journal of Feline Medicine and Surgery, Frontiers in Veterinary Science and Journal of Veterinary Internal Medicine.

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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