T. J. Byrne

899 citations
40 papers · 681 indexed · h-index 16
Topics
Genetic and phenotypic traits in livestock (27 papers)Animal Behavior and Welfare Studies (7 papers)Reproductive Physiology in Livestock (6 papers)

In The Last Decade

T. J. Byrne

37 papers receiving 650 citations

Peers

T. J. Byrne
Comparison fields: 5 of 97
  • Genetics 435
  • Agronomy and Crop Science 279
  • Animal Science and Zoology 168
  • Small Animals 120
  • Ecology 98
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Countries citing papers authored by T. J. Byrne

Since Specialization
Citations

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

Fields of papers citing papers by T. J. Byrne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Byrne

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Byrne. A scholar is included among the top collaborators of T. J. Byrne 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 T. J. Byrne. T. J. Byrne 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 2
2 12
3 10
4 63
5 4
6 17
7
Breeding objectives in an era of transformational breeding technologies
1
8 16
9 19
10 18
11
Transfers of genetic merit through multiple-tiered breeding structures into trait expressions for commercial sheep production
1
12 24
13
Factors Affecting Rankings of Dairy Bulls across New Zealand Dairy Farm Systems
1
14
An update of the National Breeding Objective for the New Zealand dairy industry.
3
15
A comparative analysis of genetic trends within the New Zealand sheep industry
2
16 29
17
A simulation model to partition ewe efficiency into component traits for genetic analysis.
1
18
New Crop Industries Handbook
25
19 8
20 0

About T. J. Byrne

T. J. Byrne is a scholar working on Genetics, Agronomy and Crop Science and General Agricultural and Biological Sciences, having authored 40 papers that have together received 681 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (27 papers), Animal Behavior and Welfare Studies (7 papers) and Reproductive Physiology in Livestock (6 papers). The work is most often cited by research in Agronomy and Crop Science (279 citations), Animal Science and Zoology (168 citations) and Small Animals (120 citations). T. J. Byrne has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include P.R. Amer, Daniel Collado, J.E. Pryce, A.R. Cromie, D.P. Berry, Chukwunonye Ezeah, R.D. Evans, P. F. Fennessy, Hanne Marie Nielsen and B. Wickham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Dairy Science and Frontiers in Plant Science.

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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