T.E. Trigg

26 papers receiving 765 citations

Peers

T.E. Trigg
Comparison fields: 5 of 65
  • Equine 197
  • Agronomy and Crop Science 497
  • Small Animals 270
  • Reproductive Medicine 230
  • Animal Science and Zoology 99
Replace T.E. Trigg with:
T.E. Trigg Australia
Irwin Κ. M. Liu United States
Lee G. Simmons United States
J.O. Nöthling South Africa
J. Renton United Kingdom
M. Bush United States
Douglas C. Eckery New Zealand
P. E. Mattner Australia
I. K. M. Liu United States
I.A. Jeffcoate United Kingdom
T.E. Trigg relative to T.E. Trigg Australia T.E. Trigg's profile →
Citations per field
00.5×2.9×
T.E. Trigg · 1×
Citations per year

Countries citing papers authored by T.E. Trigg

Since Specialization
Citations

This map shows the geographic impact of T.E. Trigg'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 T.E. Trigg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.E. Trigg more than expected).

Fields of papers citing papers by T.E. Trigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.E. Trigg. 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 T.E. Trigg. The network helps show where T.E. Trigg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200591
2 200070
3
Induction of contraception in some African wild carnivores by downregulation of LH and FSH secretion using the GnRH analogue deslorelin.
200261
4
Vaxstrate: an anti-reproductive vaccine for cattle.
199050
5 199348
6
Use of a GnRH analogue implant to produce reversible long-term suppression of reproductive function in male and female domestic dogs
200145
7 200745
8 200844
9 199344
10 200544
11 200444
12 199535
13 199726
14 199825
15 199725
16 201024
17 199622
18 200320
19 199317
20 199214

About T.E. Trigg

T.E. Trigg is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Small Animals, having authored 28 papers that have together received 838 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (21 papers), Reproductive Biology and Fertility (9 papers), Genetic and phenotypic traits in livestock (5 papers), Sperm and Testicular Function (5 papers), Veterinary Medicine and Surgery (4 papers), Veterinary Equine Medical Research (4 papers), Animal Behavior and Welfare Studies (3 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Equine (197 citations), Agronomy and Crop Science (497 citations), Small Animals (270 citations), Reproductive Medicine (230 citations) and Animal Science and Zoology (99 citations). T.E. Trigg has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Catherine A. Herbert, W. Jöchle, M. J. D'Occhio, William J. Aspden, T. Whyte, Anri Human, Geoff Shaw, H.J. Bertschinger, Desmond W. Cooper and A. O. McKinnon. Their work appears in journals such as Theriogenology, Equine Veterinary Journal, Animal Reproduction Science, Veterinary Record and Australian 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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