R. J. C. Cantet
- Genetics top 2%
- Plant Science top 5%
- Agronomy and Crop Science top 5%
- Animal Science and Zoology top 5%
- Soil Science top 5%
- Co-authors
- Roberto ÁlvarezEduardo P. CappaJuan P. SteibelCatherine W. ErnstR. O. BatesSebastián MunillaGonzalo BerhongarayI. Misztal
- Topics
- Genetic and phenotypic traits in livestock (58 papers)Genetic Mapping and Diversity in Plants and Animals (30 papers)Genetics and Plant Breeding (28 papers)
- Partner nations
- ArgentinaUnited StatesFrance
In The Last Decade
R. J. C. Cantet
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Genetics 798
- Plant Science 398
- Agronomy and Crop Science 184
- Animal Science and Zoology 156
- Soil Science 142
Countries citing papers authored by R. J. C. Cantet
This map shows the geographic impact of R. J. C. Cantet'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. J. C. Cantet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. J. C. Cantet more than expected).
Fields of papers citing papers by R. J. C. Cantet
This network shows the impact of papers produced by R. J. C. Cantet. 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. J. C. Cantet. The network helps show where R. J. C. Cantet may publish in the future.
Co-authorship network of co-authors of R. J. C. Cantet
This figure shows the co-authorship network connecting the top 25 collaborators of R. J. C. Cantet. A scholar is included among the top collaborators of R. J. C. Cantet 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. J. C. Cantet. R. J. C. Cantet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 26 | |
| 7 | 4 | |
| 8 | 61 | |
| 9 | 44 | |
| 10 | 7 | |
| 11 | 43 | |
| 12 | 2 | |
| 13 | 26 | |
| 14 | A search for QTL affecting milk yield in Creole and crossbred goats. | 1 |
| 15 | Bayesian estimation of direct and competition additive (co)variance in individuals mixed models. | 4 |
| 16 | ON THE PRECISION OF REML ESTIMATES OF ADDITIVE AND DOMINANCE VARIANCE COMPONENTS IN MAIZE USING RELATIONSHIP MATRICES | 1 |
| 17 | 12 | |
| 18 | Efectos de la incorporación de las relaciones de parentesco sobre la estimación REML de la heredabilidad para rendimiento en soja (Glycine max (L.) Merr.) | 1 |
| 19 | 5 | |
| 20 | 24 |
About R. J. C. Cantet
R. J. C. Cantet is a scholar working on Genetics, Animal Science and Zoology and Small Animals, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (58 papers), Genetic Mapping and Diversity in Plants and Animals (30 papers) and Genetics and Plant Breeding (28 papers). The work is most often cited by research in Genetics (798 citations), Agronomy and Crop Science (184 citations) and Animal Science and Zoology (156 citations). R. J. C. Cantet has collaborated with scholars based in Argentina, United States and France. Frequent co-authors include Roberto Álvarez, Eduardo P. Cappa, Juan P. Steibel, Catherine W. Ernst, R. O. Bates, Sebastián Munilla, Gonzalo Berhongaray, I. Misztal, Nancy E. Raney and Zulma G. Vitezica. Their work appears in journals such as Bioinformatics, Journal of Agricultural and Food Chemistry and Scientific Reports.
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.