D. Moya

842 total citations
32 papers, 638 citations indexed

About

D. Moya is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, D. Moya has authored 32 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Small Animals, 14 papers in Animal Science and Zoology and 11 papers in Agronomy and Crop Science. Recurrent topics in D. Moya's work include Animal Behavior and Welfare Studies (16 papers), Meat and Animal Product Quality (10 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). D. Moya is often cited by papers focused on Animal Behavior and Welfare Studies (16 papers), Meat and Animal Product Quality (10 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). D. Moya collaborates with scholars based in Canada, Spain and United Kingdom. D. Moya's co-authors include K. S. Schwartzkopf-Genswein, S. Calsamiglia, D. M. Veira, A. Ferret, Marta Blanch, Sònia Martí, Daniela M Meléndez, E. D. Janzen, Edmond A. Pajor and Tim A. McAllister and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and Animal Feed Science and Technology.

In The Last Decade

D. Moya

30 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Moya Canada 15 352 300 271 124 98 32 638
Edgar F. Garrett United States 10 269 0.8× 608 2.0× 140 0.5× 180 1.5× 13 0.1× 21 718
Dale A. Blasi United States 11 141 0.4× 214 0.7× 142 0.5× 77 0.6× 20 0.2× 77 428
B. Engel Netherlands 16 381 1.1× 143 0.5× 425 1.6× 257 2.1× 59 0.6× 32 766
P.D. Krawczel United States 16 373 1.1× 258 0.9× 385 1.4× 189 1.5× 23 0.2× 53 626
Ömür Koçak Türkiye 14 101 0.3× 225 0.8× 375 1.4× 220 1.8× 61 0.6× 57 561
Niki C Whitley United States 15 176 0.5× 314 1.0× 236 0.9× 165 1.3× 120 1.2× 49 728
P. O. Brophy Ireland 20 376 1.1× 263 0.9× 361 1.3× 288 2.3× 107 1.1× 35 786
Marta Brščić Italy 12 236 0.7× 109 0.4× 198 0.7× 125 1.0× 21 0.2× 43 419
L. R. Fell Australia 14 401 1.1× 171 0.6× 374 1.4× 167 1.3× 59 0.6× 30 690
J.G.C.J. Somers Netherlands 5 514 1.5× 217 0.7× 302 1.1× 143 1.2× 37 0.4× 6 556

Countries citing papers authored by D. Moya

Since Specialization
Citations

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

Fields of papers citing papers by D. Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Moya

This figure shows the co-authorship network connecting the top 25 collaborators of D. Moya. A scholar is included among the top collaborators of D. Moya 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 D. Moya. D. Moya 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.
Campbell, John, et al.. (2025). Effects of administering local anesthesia immediately before surgical castration on indicators of pain and discomfort of beef calves. Translational Animal Science. 9. txaf010–txaf010. 1 indexed citations
2.
López-Campos, Ó., et al.. (2024). 508 Effects of starch content of the concentrate on growth performance, temperament and carcass traits of finishing bison. Journal of Animal Science. 102(Supplement_3). 135–136.
4.
Janz, David M., et al.. (2021). Effects of Wash Protocol and Contamination Level on Concentrations of Cortisol and Dehydroepiandrosterone (DHEA) in Swine Hair. Animals. 11(11). 3104–3104. 3 indexed citations
6.
Meléndez, Daniela M, et al.. (2019). 319 Effects of repeated exposure to either energized or non-energized prods on the behavioral responses of beef cattle to handling. Journal of Animal Science. 97(Supplement_3). 7–7. 1 indexed citations
7.
Meléndez, Daniela M, Sònia Martí, Edmond A. Pajor, et al.. (2018). Effect of meloxicam and lidocaine administered alone or in combination on indicators of pain and distress during and after knife castration in weaned beef calves. PLoS ONE. 13(11). e0207289–e0207289. 32 indexed citations
8.
Meléndez, Daniela M, et al.. (2018). Effect of subcutaneous meloxicam on indicators of acute pain and distress after castration and branding in 2-mo-old beef calves1,2. Journal of Animal Science. 96(9). 3606–3621. 16 indexed citations
9.
Moya, D., et al.. (2018). Effects of live yeast (Saccharomyces cerevisiae) and type of cereal on rumen microbial fermentation in a dual flow continuous culture fermentation system. Journal of Animal Physiology and Animal Nutrition. 102(6). 1488–1496. 8 indexed citations
10.
Meléndez, Daniela M, Sònia Martí, Edmond A. Pajor, et al.. (2018). Effect of a single dose of meloxicam prior to band or knife castration in 1-wk-old beef calves: I. Acute pain. Journal of Animal Science. 96(4). 1268–1280. 22 indexed citations
11.
12.
Meléndez, Daniela M, Sònia Martí, Edmond A. Pajor, et al.. (2017). Effect of band and knife castration of beef calves on welfare indicators of pain at three relevant industry ages: I. Acute pain. Journal of Animal Science. 0(0). 0–0. 2 indexed citations
13.
Martí, Sònia, et al.. (2017). Effect of rest stop duration during long-distance transport on welfare indicators in recently weaned beef calves1. Journal of Animal Science. 95(2). 636–644. 23 indexed citations
14.
Jelinski, Murray, et al.. (2017). 014 Benchmarking indicators of compromised and unfit conditions in cattle arriving at auctions and abattoirs in Alberta. Journal of Animal Science. 95(suppl_4). 7–8. 2 indexed citations
15.
Meléndez, Daniela M, Sònia Martí, Edmond A. Pajor, et al.. (2017). Effect of band and knife castration of beef calves on welfare indicators of pain at three relevant industry ages: I. Acute pain1. Journal of Animal Science. 95(10). 4352–4366. 39 indexed citations
16.
Moya, D., Ming‐Liang He, Y. Wang, et al.. (2015). Effect of grain type and processing index on growth performance, carcass quality, feeding behavior, and stress response of feedlot steers1. Journal of Animal Science. 93(6). 3091–3100. 31 indexed citations
17.
Moya, D., L. Holtshausen, Sònia Martí, et al.. (2014). Feeding behavior and ruminal pH of corn silage, barley grain, and corn dried distillers' grain offered in a total mixed ration or in a free-choice diet to beef cattle1. Journal of Animal Science. 92(8). 3526–3536. 13 indexed citations
18.
Schwartzkopf-Genswein, K. S., Nigel Caulkett, E. D. Janzen, et al.. (2012). Achieving pain control for routine management procedures in North American beef cattle. Animal Frontiers. 2(3). 52–58. 15 indexed citations
19.
Moya, D., L. Holtshausen, Giulio Cozzi, et al.. (2010). Feeding behavior and ruminal acidosis in beef cattle offered a total mixed ration or dietary components separately1. Journal of Animal Science. 89(2). 520–530. 55 indexed citations
20.
Moya, D., S. Calsamiglia, A. Ferret, et al.. (2009). Effects of dietary changes and yeast culture (Saccharomyces cerevisiae) on rumen microbial fermentation of Holstein heifers1. Journal of Animal Science. 87(9). 2874–2881. 32 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026