R.I. Cue

3.1k total citations
95 papers, 2.2k citations indexed

About

R.I. Cue is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, R.I. Cue has authored 95 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Agronomy and Crop Science, 62 papers in Genetics and 19 papers in Animal Science and Zoology. Recurrent topics in R.I. Cue's work include Genetic and phenotypic traits in livestock (62 papers), Reproductive Physiology in Livestock (43 papers) and Ruminant Nutrition and Digestive Physiology (27 papers). R.I. Cue is often cited by papers focused on Genetic and phenotypic traits in livestock (62 papers), Reproductive Physiology in Livestock (43 papers) and Ruminant Nutrition and Digestive Physiology (27 papers). R.I. Cue collaborates with scholars based in Canada, Brazil and United States. R.I. Cue's co-authors include Joseph Hayes, H.G. Monardes, K. M. Wade, D. Pellerin, D. Lefebvre, E. Vasseur, João Dürr, J. Rushen, A.M. de Passillé and C.L. Girard and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Nutrition.

In The Last Decade

R.I. Cue

91 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R.I. Cue Canada 28 1.2k 1.0k 606 488 171 95 2.2k
Geoffry Fordyce Australia 26 1.2k 1.1× 1.4k 1.4× 637 1.1× 491 1.0× 83 0.5× 125 2.2k
John M. Morton Australia 31 749 0.6× 936 0.9× 334 0.6× 644 1.3× 131 0.8× 141 2.9k
A.R. Rabiee Australia 22 1.6k 1.4× 830 0.8× 481 0.8× 390 0.8× 115 0.7× 42 1.9k
Miguel Mellado Mexico 25 1.6k 1.4× 954 0.9× 979 1.6× 374 0.8× 219 1.3× 268 2.8k
David T. Galligan United States 27 2.1k 1.8× 1.4k 1.4× 668 1.1× 732 1.5× 220 1.3× 82 3.6k
A.R. Cromie Ireland 29 1.3k 1.1× 1.5k 1.5× 710 1.2× 304 0.6× 88 0.5× 95 2.3k
C. McManus Brazil 24 594 0.5× 695 0.7× 863 1.4× 385 0.8× 98 0.6× 135 1.9k
Nathalie Bareille France 27 1.3k 1.2× 724 0.7× 614 1.0× 998 2.0× 217 1.3× 87 2.3k
Nora M. Bello United States 25 653 0.6× 642 0.6× 392 0.6× 390 0.8× 117 0.7× 115 2.1k
Søren Østergaard Denmark 27 1.1k 0.9× 720 0.7× 446 0.7× 697 1.4× 178 1.0× 83 1.8k

Countries citing papers authored by R.I. Cue

Since Specialization
Citations

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

Fields of papers citing papers by R.I. Cue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.I. Cue. 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 R.I. Cue. The network helps show where R.I. Cue may publish in the future.

Co-authorship network of co-authors of R.I. Cue

This figure shows the co-authorship network connecting the top 25 collaborators of R.I. Cue. A scholar is included among the top collaborators of R.I. Cue 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 R.I. Cue. R.I. Cue 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
1.
Barton, Richard, Víctor E. Cabrera, David M. Cook, et al.. (2025). Data Ownership and Privacy in Dairy Farming: Insights from U.S. and Global Perspectives. Animals. 15(4). 524–524. 2 indexed citations
3.
Santschi, D.E., et al.. (2023). Reproductive performance of lactating dairy cows with elevated milk β-hydroxybutyrate levels during first 6 weeks of lactation. Journal of Dairy Science. 106(7). 5165–5181. 9 indexed citations
5.
Gonçalves, Juliano Leonel, Nasia Safdar, Ashley Kates, et al.. (2022). Incidence and Treatments of Bovine Mastitis and Other Diseases on 37 Dairy Farms in Wisconsin. Pathogens. 11(11). 1282–1282. 24 indexed citations
6.
Warner, D., R. Lacroix, R.I. Cue, et al.. (2022). Keeping profitable cows in the herd: A lifetime cost-benefit assessment to support culling decisions. animal. 16(10). 100628–100628. 4 indexed citations
7.
Cue, R.I., Benjamin Griffiths, Ronald C. Rogers, et al.. (2021). Data Governance in the Dairy Industry. Animals. 11(10). 2981–2981. 4 indexed citations
8.
Cue, R.I., et al.. (2021). Birth conditions affect the longevity of Holstein offspring. Journal of Dairy Science. 105(2). 1255–1264. 3 indexed citations
9.
Shepley, Elise, et al.. (2021). The hidden cost of disease: II. Impact of the first incidence of lameness on production and economic indicators of primiparous dairy cows. Journal of Dairy Science. 104(7). 7944–7955. 23 indexed citations
10.
Gonçalves, Juliano Leonel, et al.. (2020). Herd-level associations between somatic cell counts and economic performance indicators in Brazilian dairy herds. Journal of Dairy Science. 104(2). 1855–1863. 9 indexed citations
11.
Haine, Denis, R.I. Cue, A. Sewalem, et al.. (2017). Contextual herd factors associated with cow culling risk in Québec dairy herds: A multilevel analysis. Preventive Veterinary Medicine. 144. 7–12. 17 indexed citations
12.
Duplessis, M., D. Pellerin, R.I. Cue, & C.L. Girard. (2016). Short communication: Factors affecting vitamin B12 concentration in milk of commercial dairy herds: An exploratory study. Journal of Dairy Science. 99(6). 4886–4892. 21 indexed citations
13.
Menéndez‐Buxadera, A., M. J. Carabaño, Óscar González-Recio, et al.. (2013). Reaction norm of fertility traits adjusted for protein and fat production level across lactations in Holstein cattle. Journal of Dairy Science. 96(7). 4653–4665. 9 indexed citations
14.
Englberger, Lois, et al.. (2010). Evaluation of a "traditional food for health" intervention in Pohnpei, Federated States of Micronesia.. PubMed. 16(1). 61–73. 28 indexed citations
15.
Cue, R.I., K. M. Wade, D. Pellerin, et al.. (2006). Genetic variability of growth curves in Quebec dairy heifers.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 1–15. 1 indexed citations
16.
Dürr, João, et al.. (2003). Impact of Type Traits on Functional Herd Life of Quebec Holsteins Assessed by Survival Analysis. Journal of Dairy Science. 86(12). 4083–4089. 48 indexed citations
17.
Schneider, Maria del Pilar, H.G. Monardes, & R.I. Cue. (1999). Effects of type traits on functional herd life in Holstein cows. Bulletin - International Bull Evaluation Service/Interbull bulletin. 111. 5 indexed citations
18.
Jairath, L.K., Joseph Hayes, & R.I. Cue. (1995). Correlations Between First Lactation and Lifetime Performance Traits of Canadian Holsteins. Journal of Dairy Science. 78(2). 438–448. 30 indexed citations
19.
Jairath, L.K., Joseph Hayes, & R.I. Cue. (1994). Multitrait Restricted Maximum Likelihood Estimates of Genetic and Phenotypic Parameters of Lifetime Performance Traits for Canadian Holsteins. Journal of Dairy Science. 77(1). 303–312. 31 indexed citations
20.
Monardes, H.G., R.I. Cue, & Joseph Hayes. (1990). Correlations Between Udder Conformation Traits and Somatic Cell Count in Canadian Holstein Cows. Journal of Dairy Science. 73(5). 1337–1342. 30 indexed citations

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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