Ángela Cánovas
- Genetics top 1%
- Agronomy and Crop Science top 1%
- Molecular Biology
- Cancer Research top 5%
- Animal Science and Zoology top 1%
- Co-authors
- Juan F. MedranoPablo Augusto de Souza FonsecaAlma Islas‐TrejoGonzalo RincónAroa Suárez‐VegaFlávio S. SchenkelRamona N. PenaRaquel Quintanilla
- Topics
- Genetic and phenotypic traits in livestock (74 papers)Genetic Mapping and Diversity in Plants and Animals (41 papers)Cancer-related molecular mechanisms research (26 papers)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Ángela Cánovas
133 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 114
- Genetics 1.5k
- Agronomy and Crop Science 642
- Molecular Biology 639
- Cancer Research 627
- Animal Science and Zoology 583
Countries citing papers authored by Ángela Cánovas
This map shows the geographic impact of Ángela Cánovas'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 Ángela Cánovas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángela Cánovas more than expected).
Fields of papers citing papers by Ángela Cánovas
This network shows the impact of papers produced by Ángela Cánovas. 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 Ángela Cánovas. The network helps show where Ángela Cánovas may publish in the future.
Co-authorship network of co-authors of Ángela Cánovas
This figure shows the co-authorship network connecting the top 25 collaborators of Ángela Cánovas. A scholar is included among the top collaborators of Ángela Cánovas 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 Ángela Cánovas. Ángela Cánovas 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 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 153 | |
| 11 | 22 | |
| 12 | 21 | |
| 13 | 14 | |
| 14 | 33 | |
| 15 | 15 | |
| 16 | Meta-analysis of heritability estimates for methane emission indicator traits in cattle and sheep | 9 |
| 17 | Cellular Immuno-Genomics: A Novel Approach to Examine Genetic Regulation of Disease Resistance in Cattle | 1 |
| 18 | Genetic parameter estimates for post-weaning growth, ultrasound, and carcass traits in Canadian heavy lambs | 1 |
| 19 | 33 | |
| 20 | La fibra dietética: un ingrediente para el desarrollo de alimentos funcionales | 3 |
About Ángela Cánovas
Ángela Cánovas is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 139 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (74 papers), Genetic Mapping and Diversity in Plants and Animals (41 papers) and Cancer-related molecular mechanisms research (26 papers). The work is most often cited by research in Agronomy and Crop Science (642 citations), Animal Science and Zoology (583 citations) and Genetics (1.5k citations). Ángela Cánovas has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Juan F. Medrano, Pablo Augusto de Souza Fonseca, Alma Islas‐Trejo, Gonzalo Rincón, Aroa Suárez‐Vega, Flávio S. Schenkel, Ramona N. Pena, Raquel Quintanilla, Marcel Amills and F. Miglior. Their work appears in journals such as The Journal of Immunology, PLoS ONE 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.