KJ Stafford

4.0k citations
72 papers · 2.9k indexed · h-index 32
Topics
Veterinary Pharmacology and Anesthesia (29 papers)Animal Behavior and Welfare Studies (24 papers)Veterinary Equine Medical Research (22 papers)

In The Last Decade

KJ Stafford

72 papers receiving 2.7k citations

Peers

KJ Stafford
Comparison fields: 5 of 111
  • Small Animals 2.2k
  • Animal Science and Zoology 1.1k
  • Equine 785
  • Genetics 609
  • Agronomy and Crop Science 405
Replace D. J. Mellor with:
D. J. Mellor New Zealand
David J. Mellor New Zealand
Michela Minero Italy
J.N. Marchant United States
Kevin J. Stafford New Zealand
Eberhard von Borell Germany
V. Molony United Kingdom
Elisabetta Canali Italy
Suzanne T. Millman United States
Mhairi A. Sutherland New Zealand
KJ Stafford relative to D. J. Mellor New Zealand D. J. Mellor's profile →
Citations per field
00.5×1.5×
D. J. Mellor · 1×
Citations per year

Countries citing papers authored by KJ Stafford

Since Specialization
Citations

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

Fields of papers citing papers by KJ Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KJ Stafford

This figure shows the co-authorship network connecting the top 25 collaborators of KJ Stafford. A scholar is included among the top collaborators of KJ Stafford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with KJ Stafford. KJ Stafford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 10
3 12
4
The welfare implications of dystocia in sheep and cattle.
5
5 13
6 19
7 118
8 104
9 64
10 223
11 140
12 18
13 4
14 49
15 10
16 45
17 56
18 42
19 95
20
Castration, tail docking and dehorning - What are the constraints?
22

About KJ Stafford

KJ Stafford is a scholar working on Equine, Small Animals and Agronomy and Crop Science, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (29 papers), Animal Behavior and Welfare Studies (24 papers) and Veterinary Equine Medical Research (22 papers). The work is most often cited by research in Equine (785 citations), Small Animals (2.2k citations) and Animal Science and Zoology (1.1k citations). KJ Stafford has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include D. J. Mellor, RN WARD, David J. Mellor, RA BRUCE, M. Stewart, NG Gregory, N.G. Gregory, G.A. Verkerk, Craig Johnson and J. Colyn. Their work appears in journals such as Journal of Dairy Science, Physiology & Behavior and The Veterinary Journal.

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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