E. Blas
- Animal Science and Zoology top 0.5%
- Rabbits: Nutrition, Reproduction, Health 73
- Animal Nutrition and Physiology 51
- Agronomy and Crop Science top 1%
- Ruminant Nutrition and Digestive Physiology 38
- Reproductive Physiology in Livestock 5
- Plant Science top 5%
- Moringa oleifera research and applications 25
- Ecology top 10%
- Agriculture Sustainability and Environmental Impact 11
- Small Animals top 10%
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- Adipose Tissue and Metabolism 3
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- Genetic and phenotypic traits in livestock 2
In The Last Decade
E. Blas
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Animal Science and Zoology 1.1k
- Agronomy and Crop Science 497
- Plant Science 403
- Ecology 145
- Small Animals 33
Countries citing papers authored by E. Blas
This map shows the geographic impact of E. Blas'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. Blas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Blas more than expected).
Fields of papers citing papers by E. Blas
This network shows the impact of papers produced by E. Blas. 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. Blas. The network helps show where E. Blas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. Blas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | Dietary protein optimization using a rabbit model: towards a more sustainable production in nitrogen contamination. | 2019 | 1 |
| 8 | 2014 | 62 | |
| 9 | 2013 | 12 | |
| 10 | 2012 | 15 | |
| 11 | 2012 | 30 | |
| 12 | 2010 | 4 | |
| 13 | 2010 | 3 | |
| 14 | 2010 | 99 | |
| 15 | 2010 | 3 | |
| 16 | 2010 | 7 | |
| 17 | 2010 | 4 | |
| 18 | 2010 | 19 | |
| 19 | 2008 | 1 | |
| 20 | Effect of different feeding systems for young rabbit does on their development and performance until first weaning: preliminary results. | 2008 | 1 |
About E. Blas
E. Blas is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Plant Science, Ecology and Small Animals, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rabbits: Nutrition, Reproduction, Health (73 papers), Animal Nutrition and Physiology (51 papers), Ruminant Nutrition and Digestive Physiology (38 papers), Moringa oleifera research and applications (25 papers), Agriculture Sustainability and Environmental Impact (11 papers), Reproductive Physiology in Livestock (5 papers), Adipose Tissue and Metabolism (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Agronomy and Crop Science (497 citations), Plant Science (403 citations), Ecology (145 citations) and Small Animals (33 citations). E. Blas has collaborated with scholars based in Spain, Denmark and Morocco. Frequent co-authors include Juan José Pascual, C. Cervera, J. Fernández-Carmona, L. Ródenas, M. Baselga, E. Martínez-Paredes, J. Garcı́a, Luc Maertens, Thierry Gidenne and Pablo Jesús Marín‐García. Their work appears in journals such as Animal Feed Science and Technology, Animals, Animal Science, animal and Livestock 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.