A.R. Castillo

1.7k total citations
35 papers, 1.2k citations indexed

About

A.R. Castillo is a scholar working on Agronomy and Crop Science, Genetics and Nutrition and Dietetics. According to data from OpenAlex, A.R. Castillo has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 8 papers in Genetics and 6 papers in Nutrition and Dietetics. Recurrent topics in A.R. Castillo's work include Ruminant Nutrition and Digestive Physiology (17 papers), Genetic and phenotypic traits in livestock (8 papers) and Reproductive Physiology in Livestock (8 papers). A.R. Castillo is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (17 papers), Genetic and phenotypic traits in livestock (8 papers) and Reproductive Physiology in Livestock (8 papers). A.R. Castillo collaborates with scholars based in United States, Argentina and United Kingdom. A.R. Castillo's co-authors include E. Kebreab, J. France, D. E. Beever, D. E. Beever, John Sutton, K. M. Koenig, K. A. Beauchemin, Isaac Adjaye Aboagye, M. Oba and Noelia Silva del Rio and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

A.R. Castillo

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.R. Castillo United States 16 772 327 214 205 139 35 1.2k
T.P. Tylutki United States 12 1.1k 1.4× 461 1.4× 185 0.9× 380 1.9× 159 1.1× 20 1.3k
D. H. McCartney Canada 22 983 1.3× 382 1.2× 189 0.9× 257 1.3× 179 1.3× 57 1.3k
F. Sutter Switzerland 19 810 1.0× 263 0.8× 212 1.0× 292 1.4× 136 1.0× 35 1.2k
P. Huhtanen Finland 15 950 1.2× 443 1.4× 128 0.6× 169 0.8× 145 1.0× 26 1.1k
S.J. Krizsan Sweden 18 927 1.2× 325 1.0× 233 1.1× 251 1.2× 90 0.6× 60 1.2k
S. L. Archibeque United States 18 829 1.1× 255 0.8× 233 1.1× 359 1.8× 121 0.9× 44 1.5k
Håvard Steinshamn Norway 19 530 0.7× 223 0.7× 166 0.8× 147 0.7× 82 0.6× 82 1.1k
H. Volden Norway 18 966 1.3× 405 1.2× 130 0.6× 233 1.1× 120 0.9× 47 1.1k
Xuezhao Sun New Zealand 21 923 1.2× 169 0.5× 156 0.7× 172 0.8× 130 0.9× 70 1.2k
M. O’Donovan Ireland 26 1.3k 1.7× 618 1.9× 304 1.4× 376 1.8× 223 1.6× 68 1.8k

Countries citing papers authored by A.R. Castillo

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.R. Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of A.R. Castillo. A scholar is included among the top collaborators of A.R. Castillo 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 A.R. Castillo. A.R. Castillo 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.
Castillo, A.R., Julio A. Di Rienzo, & Damiano Cavallini. (2025). Effect of a mix of condense and hydrolysable tannins feed additive on lactating dairy cows’ services per conception and days open. Veterinary and Animal Science. 27. 100434–100434. 9 indexed citations
2.
3.
Castillo, A.R., Martín Pol, Mónica Gaggiotti, Julio A. Di Rienzo, & Damiano Cavallini. (2025). Effect of a feed additive based on a mix of condense and hydrolysable tannins (ByPro®) on lactating dairy cows milk production performance. Tropical Animal Health and Production. 57(8). 476–476.
5.
Horst, E.A., E.J. Mayorga, Mohmmad Al‐Qaisi, et al.. (2020). Energetic metabolism, milk production, and inflammatory response of transition dairy cows fed rumen-protected glucose. Journal of Dairy Science. 103(8). 7451–7461. 22 indexed citations
6.
Pandey, Pramod, Yi Wang, Matthew L. Settles, et al.. (2018). 16S rRNA analysis of diversity of manure microbial community in dairy farm environment. PLoS ONE. 13(1). e0190126–e0190126. 48 indexed citations
7.
Moraes, L.E., J.G. Fadel, A.R. Castillo, et al.. (2015). Modeling the trade-off between diet costs and methane emissions: A goal programming approach. Journal of Dairy Science. 98(8). 5557–5571. 24 indexed citations
8.
Castillo, A.R., N.R. St-Pierre, Noelia Silva del Rio, & W.P. Weiss. (2013). Mineral concentrations in diets, water, and milk and their value in estimating on-farm excretion of manure minerals in lactating dairy cows. Journal of Dairy Science. 96(5). 3388–3398. 35 indexed citations
9.
Rincón, Gonzalo, Alma Islas‐Trejo, A.R. Castillo, et al.. (2011). Polymorphisms in genes in the SREBP1 signalling pathway and SCD are associated with milk fatty acid composition in Holstein cattle. Journal of Dairy Research. 79(1). 66–75. 75 indexed citations
10.
Castillo, A.R., Noelia Silva del Rio, & N.R. St-Pierre. (2010). Nutrient balances in California dairy farms. 2. Factors associated with feed conversion and nitrogen utilization efficiencies. Journal of Dairy Science. 93. 713–713. 1 indexed citations
11.
Moore, Dale A., et al.. (2010). Evaluation of a biological risk management tool on large western United States dairies. Journal of Dairy Science. 93(9). 4096–4104. 10 indexed citations
12.
Stull, Carolyn, et al.. (2008). Precipitation and Temperature Effects on Mortality and Lactation Parameters of Dairy Cattle in California. Journal of Dairy Science. 91(12). 4579–4591. 69 indexed citations
13.
Castillo, A.R.. (2008). Whole-farm nutrient balances are an important tool for California dairy farms. California Agriculture. 63(3). 149–151. 3 indexed citations
14.
Moore, Dale A., et al.. (2008). Testing new dairy cattle for disease can boost herd health, cut costs. California Agriculture. 63(1). 29–34. 8 indexed citations
15.
Kirk, John H., Brenda McCowan, Edward R. Atwill, et al.. (2005). Association of Minimum Inhibitory Concentration Cluster Patterns with Dairy Management Practices for Environmental Bacteria Isolated from Bulk Tank Milk. Journal of Dairy Science. 88(10). 3710–3720. 11 indexed citations
16.
Gallardo, M., et al.. (2005). Monensin for Lactating Dairy Cows Grazing Mixed-Alfalfa Pasture and Supplemented with Partial Mixed Ration. Journal of Dairy Science. 88(2). 644–652. 27 indexed citations
17.
Castillo, A.R., et al.. (2004). Effects of Feeding Rations with Genetically Modified Whole Cottonseed to Lactating Holstein Cows. Journal of Dairy Science. 87(6). 1778–1785. 29 indexed citations
18.
Castillo, A.R., et al.. (2001). The effect of energy supplementation on nitrogen utilization in lactating dairy cows fed grass silage diets.. Journal of Animal Science. 79(1). 240–240. 52 indexed citations
19.
Castillo, A.R., et al.. (2001). The effect of protein supplementation on nitrogen utilization in lactating dairy cows fed grass silage diets.. Journal of Animal Science. 79(1). 247–247. 218 indexed citations
20.
Castillo, A.R., et al.. (1983). Rumen fermentative activity in the goat and sheep. South African Journal of Animal Science. 13(3). 213–215. 6 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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