G. Ripoll
Impact in
- Animal Science and Zoology top 0.1%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Effects of Environmental Stressors on Livestock
- Agronomy and Crop Science top 0.5%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
Papers in
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- Meat and Animal Product Quality 95
- Animal Nutrition and Physiology 61
- Effects of Environmental Stressors on Livestock 17
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- Ruminant Nutrition and Digestive Physiology 33
- Reproductive Physiology in Livestock 9
- Co-authors
- M. Joy (51 shared papers)B. Panea (59 shared papers)P. Albertı́ (41 shared papers)M. Blanco (31 shared papers)A. Sanz (27 shared papers)I. Casasús (29 shared papers)Javier Álvarez Rodríguez (24 shared papers)C. Sañudo (18 shared papers)
In The Last Decade
G. Ripoll
130 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 106
- Animal Science and Zoology 2.1k
- Agronomy and Crop Science 795
- Genetics 678
- Food Science 418
- Small Animals 144
Countries citing papers authored by G. Ripoll
This map shows the geographic impact of G. Ripoll'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 G. Ripoll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ripoll more than expected).
Fields of papers citing papers by G. Ripoll
This network shows the impact of papers produced by G. Ripoll. 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 G. Ripoll. The network helps show where G. Ripoll may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Ripoll, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 211 | |
| 2 | 2013 | 159 | |
| 3 | 2010 | 130 | |
| 4 | 2012 | 116 | |
| 5 | 2008 | 106 | |
| 6 | 2008 | 97 | |
| 7 | 2007 | 80 | |
| 8 | 2009 | 74 | |
| 9 | 2008 | 74 | |
| 10 | 2005 | 71 | |
| 11 | 2016 | 61 | |
| 12 | 2012 | 55 | |
| 13 | 2011 | 51 | |
| 14 | 2017 | 50 | |
| 15 | 2007 | 49 | |
| 16 | 2012 | 43 | |
| 17 | 2009 | 43 | |
| 18 | 2008 | 41 | |
| 19 | 2012 | 38 | |
| 20 | 2013 | 36 |
About G. Ripoll
G. Ripoll is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Genetics, Food Science and Nutrition and Dietetics, having authored 141 papers that have together received 2.9k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (95 papers), Animal Nutrition and Physiology (61 papers), Genetic and phenotypic traits in livestock (40 papers), Ruminant Nutrition and Digestive Physiology (33 papers), Effects of Environmental Stressors on Livestock (17 papers), Sensory Analysis and Statistical Methods (10 papers), Animal Behavior and Welfare Studies (9 papers) and Reproductive Physiology in Livestock (9 papers). The work is most often cited by research in Animal Science and Zoology (2.1k citations), Agronomy and Crop Science (795 citations), Genetics (678 citations), Food Science (418 citations) and Small Animals (144 citations). G. Ripoll has collaborated with scholars based in Spain, Portugal and France. Frequent co-authors include M. Joy, B. Panea, P. Albertı́, M. Blanco, A. Sanz, I. Casasús, Javier Álvarez Rodríguez, C. Sañudo, J.L. Olleta and Fernando Muñoz. Their work appears in journals such as Meat Science, Livestock Science, Journal of Animal Science, Animals and Foods.
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.