E. Fantova
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Reproductive Medicine top 5%
- Agronomy and Crop Science top 5%
- Molecular Biology
- Co-authors
- P. SantolariaI. PalacínJ.L. YánizS. Vicente-FielJ. L. AlabartJuan JuradoJ. H. CalvoJ. Folch
- Topics
- Reproductive Physiology in Livestock (8 papers)Reproductive Biology and Fertility (7 papers)Genetic and phenotypic traits in livestock (6 papers)
In The Last Decade
E. Fantova
15 papers receiving 375 citations
Peers
Comparison fields: 5 of 53
- Public Health, Environmental and Occupational Health 220
- Genetics 158
- Reproductive Medicine 148
- Agronomy and Crop Science 144
- Molecular Biology 60
Countries citing papers authored by E. Fantova
This map shows the geographic impact of E. Fantova'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 E. Fantova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Fantova more than expected).
Fields of papers citing papers by E. Fantova
This network shows the impact of papers produced by E. Fantova. 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 E. Fantova. The network helps show where E. Fantova may publish in the future.
Co-authorship network of co-authors of E. Fantova
This figure shows the co-authorship network connecting the top 25 collaborators of E. Fantova. A scholar is included among the top collaborators of E. Fantova 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 E. Fantova. E. Fantova 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 | 10 | |
| 3 | Innovations in the selection program of the UPRA-Grupo Pastores in Rasa aragonesa sheep breed. | 1 |
| 4 | 66 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 36 | |
| 8 | 20 | |
| 9 | 34 | |
| 10 | 24 | |
| 11 | 14 | |
| 12 | Influence of the ROA allele and selection for prolificacy polygenic economic performance in the meat of sheep farms in Aragon. | 1 |
| 13 | 92 | |
| 14 | 63 | |
| 15 | Analysis of the contribution of sales of Ternasco de Aragón PGI to the economic results of farms. | 2 |
| 16 | 21 |
About E. Fantova
E. Fantova is a scholar working on Agronomy and Crop Science, Tourism, Leisure and Hospitality Management and Reproductive Medicine, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (8 papers), Reproductive Biology and Fertility (7 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Reproductive Medicine (148 citations), Agronomy and Crop Science (144 citations) and Public Health, Environmental and Occupational Health (220 citations). E. Fantova has collaborated with scholars based in Spain, France and Morocco. Frequent co-authors include P. Santolaria, I. Palacín, J.L. Yániz, S. Vicente-Fiel, J. L. Alabart, Juan Jurado, J. H. Calvo, J. Folch, Miguel Á. Silvestre and Loýs Bodin. Their work appears in journals such as Journal of Animal Science, Reproduction and Animal Reproduction Science.
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.