T Nay

510 citations
30 papers · 444 · h-index 14

Impact in

Papers in

    • Effects of Environmental Stressors on Livestock 14
    • Meat and Animal Product Quality 5
    • Genetic and phenotypic traits in livestock 15

T Nay

28 papers receiving 302 citations

Peers

T Nay
Comparison fields: 5 of 78
  • Animal Science and Zoology 183
  • Small Animals 86
  • Equine 16
  • Agronomy and Crop Science 100
  • Urology 50
Replace Marco Antonini with:
Marco Antonini Italy
T. Wuliji United States
CHS Dolling Australia
S. Hatcher Australia
A. D. Peterson United States
A. R. Bray New Zealand
J. C. D. Hutchinson Australia
J. C. Greeff Australia
Hubert de Rochambeau France
R. H. Stobart United States
T Nay relative to Marco Antonini Italy Marco Antonini's profile →
Citations per field
00.5×1.5×2×2.3×
Marco Antonini · 1×
Citations per year

Countries citing papers authored by T Nay

Since Specialization
Citations

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

Fields of papers citing papers by T Nay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside T Nay, 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 Nay Line = papers co-authored together T Nay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195647
2 196034
3 197532
4 196128
5 196427
6 196320
7 195920
8 196720
9 196918
10
The sweat glands and hair follicles of different species of bovidae.
197518
11 196217
12 197217
13 197315
14 198014
15 197313
16 197711
17 196611
18 195710
19 196910
20 19709

About T Nay

T Nay is a scholar working on Animal Science and Zoology, Genetics, Agronomy and Crop Science, Small Animals and Urology, having authored 30 papers that have together received 444 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (15 papers), Effects of Environmental Stressors on Livestock (14 papers), Animal Behavior and Welfare Studies (8 papers), Reproductive Physiology in Livestock (6 papers), Meat and Animal Product Quality (5 papers), Milk Quality and Mastitis in Dairy Cows (4 papers), Hair Growth and Disorders (3 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). The work is most often cited by research in Animal Science and Zoology (183 citations), Small Animals (86 citations), Equine (16 citations), Agronomy and Crop Science (100 citations) and Urology (50 citations). T Nay has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent co-authors include D. McEwan Jenkinson, R. Mykytowycz, H.R. Johnson, HN Turner, J M RENDEL, JSF Barker, I. L. Mason, J. A. Dennis, G. C. Merritt and David Griffiths. Their work appears in journals such as Journal of Dairy Research, Australian Journal of Agricultural and Resource Economics, Nature, The Journal of Agricultural Science 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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