Richard G. Tait

1.4k citations
64 papers · 1.0k indexed · h-index 18

Richard G. Tait

64 papers receiving 971 citations

Peers

Richard G. Tait
Comparison fields: 5 of 89
  • Animal Science and Zoology 435
  • Microbiology 188
  • Agronomy and Crop Science 272
  • Genetics 472
  • Small Animals 100
Replace Bart Mateusen with:
Bart Mateusen Belgium
Gaëtan Lemonnier France
Patty S.D. Weber United States
G.J. Nieuwhof United Kingdom
S. K. DeNise United States
J.L. Burton United States
Zhangping Yang China
Glen W. Almond United States
Philipe Moriel United States
Shiro Kushibiki Japan
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Citations per year

Countries citing papers authored by Richard G. Tait

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Tait. 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 Richard G. Tait. The network helps show where Richard G. Tait may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20234
3 20204
4 20206
5 20194
6 201816
7
Design of a low-density SNP chip for Bos indicus: GGP indicus technical characterization and imputation accuracy to higher density SNP genotypes
20183
8 20186
9 201832
10 201616
11 201317
12 201233
13 201112
14 201118
15 201021
16
Body Composition Changes in Bulls from Weaning to Yearling Part I — Muscle, Waste Fat and Taste Fat Deposition
20041
17
Comparison of Ultrasound and Carcass Measures to Predict Percentage of Beef Retail Product from Four Primal Cuts—Final Report
20041
18
Comparison of Ultrasound and Carcass Measures to Predict the Percentage of Lean Beef from Four Primal Cuts
20022
19
The Use of Real-Time Ultrasound to Predict Live Feedlot Cattle Carcass Value
20017
20
Prediction of Lean in the Round Using Ultrasound Measurements
20013

About Richard G. Tait

Richard G. Tait is a scholar working on Animal Science and Zoology, Microbiology and Genetics, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (38 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers), Meat and Animal Product Quality (15 papers), Effects of Environmental Stressors on Livestock (9 papers), Microbial infections and disease research (9 papers), Cancer-related molecular mechanisms research (6 papers), Animal Nutrition and Physiology (5 papers) and Animal Behavior and Welfare Studies (5 papers). The work is most often cited by research in Animal Science and Zoology (435 citations), Microbiology (188 citations) and Agronomy and Crop Science (272 citations). Richard G. Tait has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include James M. Reecy, W. Darrell Busby, Matthew J. Schneider, M. S. Mayes, Dorian J. Garrick, Gene H. Rouse, Deborah Wilson, T. L. Wheeler, Timothy P. L. Smith and Donald C. Beitz. Their work appears in journals such as Journal of Animal Science, Animal Genetics, BMC Genetics, Frontiers in Genetics and Theriogenology.

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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