R.R. White

2.1k total citations
122 papers, 1.5k citations indexed

About

R.R. White is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, R.R. White has authored 122 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Agronomy and Crop Science, 41 papers in Genetics and 34 papers in Animal Science and Zoology. Recurrent topics in R.R. White's work include Ruminant Nutrition and Digestive Physiology (52 papers), Genetic and phenotypic traits in livestock (37 papers) and Reproductive Physiology in Livestock (29 papers). R.R. White is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (52 papers), Genetic and phenotypic traits in livestock (37 papers) and Reproductive Physiology in Livestock (29 papers). R.R. White collaborates with scholars based in United States, Canada and China. R.R. White's co-authors include Mary Beth Hall, J.L. Firkins, M.D. Hanigan, Judith L. Capper, P.J. Kononoff, Wenting Dai, Jianxin Liu, Michael Brady, Hongyun Liu and H. Lapierre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

R.R. White

115 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R.R. White 768 467 337 277 198 122 1.5k
J.L. Ellis 1.3k 1.7× 439 0.9× 491 1.5× 495 1.8× 208 1.1× 82 2.1k
Anne Louise Frydendahl Hellwing 1.1k 1.4× 296 0.6× 352 1.0× 349 1.3× 141 0.7× 67 1.5k
Hiroyuki Hirooka 490 0.6× 638 1.4× 425 1.3× 365 1.3× 98 0.5× 144 1.6k
A.S. Atzori 645 0.8× 318 0.7× 450 1.3× 265 1.0× 130 0.7× 85 1.4k
M. O’Donovan 1.3k 1.7× 618 1.3× 376 1.1× 304 1.1× 74 0.4× 68 1.8k
K. A. Beauchemin 1.2k 1.6× 297 0.6× 401 1.2× 201 0.7× 126 0.6× 34 1.5k
Sanne van Gastelen 960 1.3× 318 0.7× 307 0.9× 303 1.1× 118 0.6× 40 1.2k
Sam De Campeneere 680 0.9× 328 0.7× 613 1.8× 149 0.5× 110 0.6× 76 1.2k
L.E. Moraes 524 0.7× 285 0.6× 432 1.3× 267 1.0× 76 0.4× 62 1.2k
J. Chiquette 1.4k 1.8× 326 0.7× 369 1.1× 351 1.3× 188 0.9× 35 1.8k

Countries citing papers authored by R.R. White

Since Specialization
Citations

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

Fields of papers citing papers by R.R. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.R. White

This figure shows the co-authorship network connecting the top 25 collaborators of R.R. White. A scholar is included among the top collaborators of R.R. White 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.R. White. R.R. White 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
2.
White, R.R., et al.. (2025). Common pitfalls in evaluating model performance and strategies for avoidance in agricultural studies. Computers and Electronics in Agriculture. 234. 110126–110126. 3 indexed citations
3.
White, R.R., et al.. (2024). Safely and autonomously cutting meat with a collaborative robot arm. Scientific Reports. 14(1). 299–299. 7 indexed citations
4.
Ha, Dong Sam, et al.. (2024). Machine Learning-Driven Optimization of Livestock Management: Classification of Cattle Behaviors for Enhanced Monitoring Efficiency. VTechWorks (Virginia Tech). 85–91. 2 indexed citations
5.
White, R.R. & Mary Beth Hall. (2024). Estimates of optimal supplies of animal-sourced foods differ by food system goal and socioeconomic context. Proceedings of the National Academy of Sciences. 121(50). e2319011121–e2319011121. 2 indexed citations
6.
White, R.R., et al.. (2024). Ice application without water drainage supports optimal hoof cooling in adult horses. Journal of Equine Veterinary Science. 145. 105255–105255.
7.
Martineau, R., D.R. Ouellet, D. Pellerin, et al.. (2024). Ability of three dairy feed evaluation systems to predict postruminal outflows of amino acids in dairy cows: A meta-analysis. Journal of Dairy Science. 107(6). 3573–3600. 3 indexed citations
8.
Timlin, C., et al.. (2023). Effect of dietary energy source on pregnancy rates and reproductive physiology of pastured beef heifers. SHILAP Revista de lepidopterología. 4. 2 indexed citations
9.
White, R.R., et al.. (2023). Effects of wearable therapies on jump performance in sport horses. Frontiers in Veterinary Science. 10. 1235932–1235932. 1 indexed citations
10.
White, R.R., et al.. (2023). Global contributions of milk to nutrient supplies and greenhouse gas emissions. Journal of Dairy Science. 106(5). 3287–3300. 9 indexed citations
11.
Swartz, T.H., et al.. (2022). The effects of dexamethasone administration on physiological, behavioral, and production parameters in dairy cows after a difficult calving. Journal of Dairy Science. 106(1). 653–663. 3 indexed citations
12.
Negrón‐Pérez, Verónica M., R.R. White, Samer W. El‐Kadi, et al.. (2022). Comparison of production-related responses to hyperinsulinemia and hypoglycemia induced by clamp procedures or heat stress of lactating dairy cattle. Journal of Dairy Science. 105(10). 8439–8453. 7 indexed citations
13.
Petersson‐Wolfe, Christina S., et al.. (2022). Practical challenges and potential approaches to predicting low-incidence diseases on farm using individual cow data: A clinical mastitis example. Journal of Dairy Science. 105(3). 2369–2379. 4 indexed citations
14.
Beckett, Linda M., Andrea Bedford, T.T. Yohe, et al.. (2021). Rumen volatile fatty acid molar proportions, rumen epithelial gene expression, and blood metabolite concentration responses to ruminally degradable starch and fiber supplies. Journal of Dairy Science. 104(8). 8857–8869. 23 indexed citations
15.
Hall, Mary Beth, et al.. (2020). Contributions of dairy products to environmental impacts and nutritional supplies from United States agriculture. Journal of Dairy Science. 103(11). 10867–10881. 20 indexed citations
16.
Morris, D.L., T. M. Brown-Brandl, Phillip S. Miller, et al.. (2020). Factors that affect heat production in lactating Jersey cows. Journal of Dairy Science. 104(1). 346–356. 9 indexed citations
17.
Bedford, Andrea, Linda M. Beckett, Chong Wang, et al.. (2020). Ruminal volatile fatty acid absorption is affected by elevated ambient temperature. Scientific Reports. 10(1). 13092–13092. 29 indexed citations
18.
Swartz, T.H., Rebecca Cockrum, S.J. Lacy-Hulbert, et al.. (2019). The effect of J5 bacterins on clinical, behavioral, and antibody response following an Escherichia coli intramammary challenge in dairy cows at peak lactation. Journal of Dairy Science. 102(12). 11233–11249. 18 indexed citations
19.
Kebreab, E., et al.. (2018). Summaries of Communications. Canadian Journal of Animal Science. 98(4). 902–906.
20.
Bedford, Andrea, Linda M. Beckett, Thomas S. Davis, et al.. (2018). Propionate Affects Insulin Signaling and Progesterone Profiles in Dairy Heifers. Scientific Reports. 8(1). 17629–17629. 14 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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