D. Moya
Impact in
- Equine top 1%
- Veterinary Equine Medical Research
- Small Animals top 1%
- Animal Behavior and Welfare Studies
- Veterinary Pharmacology and Anesthesia
Papers in
-
- Animal Behavior and Welfare Studies 16
- Veterinary Pharmacology and Anesthesia 7
-
- Meat and Animal Product Quality 10
- Effects of Environmental Stressors on Livestock 6
- Co-authors
- K. S. Schwartzkopf-Genswein (22 shared papers)S. Calsamiglia (5 shared papers)D. M. Veira (1 shared paper)A. Ferret (4 shared papers)Sònia Martí (16 shared papers)Marta Blanch (4 shared papers)Daniela M Meléndez (13 shared papers)E. D. Janzen (10 shared papers)
- Journals
- Journal of Animal Science (19 papers)Canadian Journal of Animal Science (3 papers)Livestock Science (2 papers)Animals (2 papers)PLoS ONE (1 paper)
- Partner nations
- CanadaSpainUnited Kingdom
In The Last Decade
D. Moya
30 papers receiving 648 citations
Peers
Comparison fields: 5 of 69
- Equine 101
- Small Animals 365
- Agronomy and Crop Science 310
- Animal Science and Zoology 266
- Microbiology 41
Countries citing papers authored by D. Moya
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
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-authors
The 25 scholars most cited alongside D. Moya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 114 | |
| 2 | 2011 | 102 | |
| 3 | 2010 | 56 | |
| 4 | 2017 | 41 | |
| 5 | 2009 | 35 | |
| 6 | 2015 | 34 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2014 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2018 | 24 | |
| 12 | 2018 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2018 | 16 | |
| 15 | 2012 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2020 | 12 | |
| 18 | 2015 | 12 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 5 |
About D. Moya
D. Moya is a scholar working on Small Animals, Animal Science and Zoology, Agronomy and Crop Science, Equine and Genetics, having authored 32 papers that have together received 673 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (16 papers), Meat and Animal Product Quality (10 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Veterinary Equine Medical Research (8 papers), Veterinary Pharmacology and Anesthesia (7 papers), Effects of Environmental Stressors on Livestock (6 papers), Reproductive Physiology in Livestock (6 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Equine (101 citations), Small Animals (365 citations), Agronomy and Crop Science (310 citations), Animal Science and Zoology (266 citations) and Microbiology (41 citations). D. Moya has collaborated with scholars based in Canada, Spain and United Kingdom. Frequent co-authors include K. S. Schwartzkopf-Genswein, S. Calsamiglia, D. M. Veira, A. Ferret, Sònia Martí, Marta Blanch, Daniela M Meléndez, E. D. Janzen, Edmond A. Pajor and Tim A. McAllister. Their work appears in journals such as Journal of Animal Science, Canadian Journal of Animal Science, Livestock Science, Animals and PLoS ONE.
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.