M. Joy
Impact in
- Animal Science and Zoology top 0.2%
- 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
-
- Meat and Animal Product Quality 58
- Animal Nutrition and Physiology 42
- Effects of Environmental Stressors on Livestock 17
- Rabbits: Nutrition, Reproduction, Health 6
-
- Ruminant Nutrition and Digestive Physiology 63
- Reproductive Physiology in Livestock 13
- Co-authors
- G. Ripoll (50 shared papers)M. Blanco (45 shared papers)A. Sanz (26 shared papers)Javier Álvarez Rodríguez (27 shared papers)Juan Ramón Bertolín (24 shared papers)B. Panea (15 shared papers)J. H. Calvo (18 shared papers)Sandra Lobón (28 shared papers)
In The Last Decade
M. Joy
115 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 104
- Animal Science and Zoology 1.5k
- Agronomy and Crop Science 915
- Genetics 623
- Biochemistry 133
- Forestry 82
Countries citing papers authored by M. Joy
This map shows the geographic impact of M. Joy'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. Joy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Joy more than expected).
Fields of papers citing papers by M. Joy
This network shows the impact of papers produced by M. Joy. 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. Joy. The network helps show where M. Joy may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Joy, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 147 | |
| 2 | 2010 | 124 | |
| 3 | 2008 | 95 | |
| 4 | 2007 | 78 | |
| 5 | 1997 | 76 | |
| 6 | 2009 | 75 | |
| 7 | 2011 | 72 | |
| 8 | 2008 | 71 | |
| 9 | 2016 | 60 | |
| 10 | 2013 | 59 | |
| 11 | 2012 | 55 | |
| 12 | 2011 | 49 | |
| 13 | 2017 | 48 | |
| 14 | 2007 | 47 | |
| 15 | 2008 | 43 | |
| 16 | 2018 | 41 | |
| 17 | 2009 | 41 | |
| 18 | 2019 | 41 | |
| 19 | 2011 | 40 | |
| 20 | 2010 | 39 |
About M. Joy
M. Joy is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Genetics, Nutrition and Dietetics and Molecular Biology, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (63 papers), Meat and Animal Product Quality (58 papers), Animal Nutrition and Physiology (42 papers), Genetic and phenotypic traits in livestock (40 papers), Effects of Environmental Stressors on Livestock (17 papers), Reproductive Physiology in Livestock (13 papers), Fatty Acid Research and Health (8 papers) and Rabbits: Nutrition, Reproduction, Health (6 papers). The work is most often cited by research in Animal Science and Zoology (1.5k citations), Agronomy and Crop Science (915 citations), Genetics (623 citations), Biochemistry (133 citations) and Forestry (82 citations). M. Joy has collaborated with scholars based in Spain, Tunisia and Brazil. Frequent co-authors include G. Ripoll, M. Blanco, A. Sanz, Javier Álvarez Rodríguez, Juan Ramón Bertolín, B. Panea, J. H. Calvo, Sandra Lobón, R. Delfa and P. Albertı́. Their work appears in journals such as Meat Science, Small Ruminant Research, Animal Feed Science and Technology, Animals and Journal of Animal 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.