Luke O’Grady

2.7k total citations
84 papers, 1.8k citations indexed

About

Luke O’Grady is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, Luke O’Grady has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Agronomy and Crop Science, 30 papers in Genetics and 24 papers in Small Animals. Recurrent topics in Luke O’Grady's work include Genetic and phenotypic traits in livestock (27 papers), Reproductive Physiology in Livestock (25 papers) and Animal Disease Management and Epidemiology (18 papers). Luke O’Grady is often cited by papers focused on Genetic and phenotypic traits in livestock (27 papers), Reproductive Physiology in Livestock (25 papers) and Animal Disease Management and Epidemiology (18 papers). Luke O’Grady collaborates with scholars based in Ireland, United Kingdom and New Zealand. Luke O’Grady's co-authors include Michael L. Doherty, Simon J. More, Conor G. McAloon, F.J. Mulligan, Martin Green, Paul Whyte, D. A. Rice, John Dunnion, Miriam Casey-Bryars and Kevin Hunt and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Journal of Dairy Science.

In The Last Decade

Luke O’Grady

77 papers receiving 1.7k citations

Peers

Luke O’Grady
Comparison fields: 5 of 140
  • Agronomy and Crop Science 786
  • Small Animals 478
  • Genetics 388
  • Infectious Diseases 337
  • Epidemiology 314
Replace Zvonimir Poljak with:
Zvonimir Poljak Canada
Dale A. Moore United States
Jenny‐Ann Toribio Australia
Kim Stevens United Kingdom
Esron D. Karimuribo Tanzania
Gustavo Machado Brazil
Conor G. McAloon Ireland
M.G. Garner Australia
Simon M. Firestone Australia
Claes Enøe Denmark
Zvonimir Poljak Canada View profile →
Citations per field, relative to Luke O’Grady
Luke O’Grady · 1×
Citations per year, relative to Luke O’Grady
Luke O’Grady · 1×

Countries citing papers authored by Luke O’Grady

Since Specialization
Citations

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

Fields of papers citing papers by Luke O’Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke O’Grady. 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 Luke O’Grady. The network helps show where Luke O’Grady may publish in the future.

Co-authorship network of co-authors of Luke O’Grady

This figure shows the co-authorship network connecting the top 25 collaborators of Luke O’Grady. A scholar is included among the top collaborators of Luke O’Grady 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 Luke O’Grady. Luke O’Grady 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
# Work Indexed citations
1 2
2 0
3 2
4 1
5 0
6 0
7 1
8 5
9 9
10 2
11 11
12 6
13 9
14 28
15 11
16 18
17 4
18 5
19
A comparison of machine learning techniques for predicting insemination outcome in Irish dairy cows
9
20 46

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026