M. Blanco
Impact in
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Effects of Environmental Stressors on Livestock
- Agronomy and Crop Science top 1%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
Papers in
-
- Meat and Animal Product Quality 35
- Animal Nutrition and Physiology 24
- Effects of Environmental Stressors on Livestock 14
- Rabbits: Nutrition, Reproduction, Health 4
-
- Ruminant Nutrition and Digestive Physiology 41
- Reproductive Physiology in Livestock 16
- Agronomic Practices and Intercropping Systems 4
- Co-authors
- I. Casasús (45 shared papers)M. Joy (46 shared papers)G. Ripoll (31 shared papers)Juan Ramón Bertolín (16 shared papers)Sandra Lobón (22 shared papers)A. Sanz (12 shared papers)P. Albertı́ (10 shared papers)R. Revilla (4 shared papers)
In The Last Decade
M. Blanco
79 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Animal Science and Zoology 631
- Agronomy and Crop Science 441
- Small Animals 83
- Forestry 46
- Genetics 261
Countries citing papers authored by M. Blanco
This map shows the geographic impact of M. Blanco'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. Blanco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Blanco more than expected).
Fields of papers citing papers by M. Blanco
This network shows the impact of papers produced by M. Blanco. 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. Blanco. The network helps show where M. Blanco may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Blanco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 85 | |
| 2 | 2008 | 48 | |
| 3 | 2019 | 46 | |
| 4 | 2000 | 46 | |
| 5 | 2018 | 45 | |
| 6 | 2012 | 43 | |
| 7 | 2009 | 43 | |
| 8 | 2011 | 39 | |
| 9 | 2013 | 36 | |
| 10 | 2008 | 36 | |
| 11 | 2017 | 35 | |
| 12 | 2020 | 34 | |
| 13 | 2017 | 31 | |
| 14 | 2008 | 30 | |
| 15 | 2019 | 24 | |
| 16 | 2013 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2007 | 21 | |
| 19 | 2010 | 20 | |
| 20 | 2013 | 19 |
About M. Blanco
M. Blanco is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Genetics, Cell Biology and Plant Science, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (41 papers), Meat and Animal Product Quality (35 papers), Genetic and phenotypic traits in livestock (25 papers), Animal Nutrition and Physiology (24 papers), Reproductive Physiology in Livestock (16 papers), Effects of Environmental Stressors on Livestock (14 papers), Agronomic Practices and Intercropping Systems (4 papers) and Rabbits: Nutrition, Reproduction, Health (4 papers). The work is most often cited by research in Animal Science and Zoology (631 citations), Agronomy and Crop Science (441 citations), Small Animals (83 citations), Forestry (46 citations) and Genetics (261 citations). M. Blanco has collaborated with scholars based in Spain, Canada and Argentina. Frequent co-authors include I. Casasús, M. Joy, G. Ripoll, Juan Ramón Bertolín, Sandra Lobón, A. Sanz, P. Albertı́, R. Revilla, H. Sauerwein and Jorge Palacio. Their work appears in journals such as animal, Livestock Science, Journal of Animal Science, Animals and Animal Production 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.