R. Muelas
- Agronomy and Crop Science top 5%
- Milk Quality and Mastitis in Dairy Cows 9
- Ruminant Nutrition and Digestive Physiology 6
- Reproductive Physiology in Livestock 4
- Animal Science and Zoology top 5%
- Rabbits: Nutrition, Reproduction, Health 8
- Small Animals top 10%
- Food Science top 10%
- Probiotics and Fermented Foods 7
-
- Microbial Metabolites in Food Biotechnology 4
- Food composition and properties 3
-
- Cynara cardunculus studies 6
R. Muelas
30 papers receiving 266 citations
Peers
Comparison fields: 5 of 54
- Agronomy and Crop Science 112
- Animal Science and Zoology 91
- Small Animals 41
- Food Science 97
- Nutrition and Dietetics 54
Countries citing papers authored by R. Muelas
This map shows the geographic impact of R. Muelas'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. Muelas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Muelas more than expected).
Fields of papers citing papers by R. Muelas
This network shows the impact of papers produced by R. Muelas. 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. Muelas. The network helps show where R. Muelas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Muelas, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 11 | |
| 13 | 2014 | 18 | |
| 14 | 2014 | 10 | |
| 15 | 2012 | 25 | |
| 16 | 2011 | 30 | |
| 17 | Effect of electrical conductivity of goat's milk on characteristics of fresh cheese | 2010 | 2 |
| 18 | Divergent selection for variability of litter size in rabbit. Results after two generations of selection. | 2009 | 1 |
| 19 | Preliminary results in a divergent selection experiment on variance of litter size in rabbits. I. Genetic parameters. | 2008 | 1 |
| 20 | Influence of FSH, LH and prolactin on the components of litter size in rabbit does. | 2008 | 6 |
About R. Muelas
R. Muelas is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Nutrition and Dietetics, having authored 32 papers that have together received 270 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (9 papers), Rabbits: Nutrition, Reproduction, Health (8 papers), Probiotics and Fermented Foods (7 papers), Ruminant Nutrition and Digestive Physiology (6 papers), Cynara cardunculus studies (6 papers), Reproductive Physiology in Livestock (4 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Food composition and properties (3 papers). The work is most often cited by research in Agronomy and Crop Science (112 citations), Animal Science and Zoology (91 citations) and Small Animals (41 citations). R. Muelas has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include Gema Romero, J.R. Díaz, Esther Sendra, M. L. García, M. J. Argente, Estrella Sayas‐Barberá, C. Peris, J.C.F. Pantoja, C. Paredes and Leontina Lipan. Their work appears in journals such as Food Chemistry, Journal of Dairy Science and Food Research International.
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.