M. Garcia-Winder
- Agronomy and Crop Science top 0.5%
- Genetics top 5%
- Animal Science and Zoology top 2%
- Public Health, Environmental and Occupational Health top 10%
- Small Animals top 5%
- Co-authors
- J. E. KinderM. L. DayP. E. LewisKazuhiko ImakawaD. D. ZaleskyE. K. InskeepR. J. KittokB. D. Schanbacher
- Topics
- Reproductive Physiology in Livestock (24 papers)Genetic and phenotypic traits in livestock (15 papers)Ruminant Nutrition and Digestive Physiology (7 papers)
- Partner nations
- United StatesMexicoSpain
In The Last Decade
M. Garcia-Winder
24 papers receiving 780 citations
Peers
Comparison fields: 5 of 42
- Agronomy and Crop Science 775
- Genetics 560
- Animal Science and Zoology 270
- Public Health, Environmental and Occupational Health 141
- Small Animals 88
Countries citing papers authored by M. Garcia-Winder
This map shows the geographic impact of M. Garcia-Winder'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 M. Garcia-Winder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Garcia-Winder more than expected).
Fields of papers citing papers by M. Garcia-Winder
This network shows the impact of papers produced by M. Garcia-Winder. 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 M. Garcia-Winder. The network helps show where M. Garcia-Winder may publish in the future.
Co-authorship network of co-authors of M. Garcia-Winder
This figure shows the co-authorship network connecting the top 25 collaborators of M. Garcia-Winder. A scholar is included among the top collaborators of M. Garcia-Winder 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 M. Garcia-Winder. M. Garcia-Winder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Principales tendencias que afectan el estado de los agronegocios en el hemisferio americano | 1 |
| 3 | 3 | |
| 4 | 29 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | Productive and reproductive performance of dual-purpose cows in two systems of suckling in the tropics | 1 |
| 8 | 3 | |
| 9 | 35 | |
| 10 | 66 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 26 | |
| 14 | 8 | |
| 15 | 58 | |
| 16 | 39 | |
| 17 | 22 | |
| 18 | 9 | |
| 19 | 26 | |
| 20 | 131 |
About M. Garcia-Winder
M. Garcia-Winder is a scholar working on Agronomy and Crop Science, Small Animals and Genetics, having authored 26 papers that have together received 848 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (24 papers), Genetic and phenotypic traits in livestock (15 papers) and Ruminant Nutrition and Digestive Physiology (7 papers). The work is most often cited by research in Agronomy and Crop Science (775 citations), Animal Science and Zoology (270 citations) and Genetics (560 citations). M. Garcia-Winder has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include J. E. Kinder, M. L. Day, P. E. Lewis, Kazuhiko Imakawa, D. D. Zalesky, E. K. Inskeep, R. J. Kittok, B. D. Schanbacher, E.G.M. Bergfeld and M.E. Wehrman. Their work appears in journals such as Biology of Reproduction, Journal of Animal Science and Theriogenology.
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.