M. Serrano
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality 12
- Effects of Environmental Stressors on Livestock 9
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock 11
- Ruminant Nutrition and Digestive Physiology 8
- Genetics top 5%
- Genetic and phenotypic traits in livestock 31
- Genetic Mapping and Diversity in Plants and Animals 10
- Animal Genetics and Reproduction 7
- Reproductive Medicine top 5%
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- Lipid metabolism and biosynthesis 6
- Co-authors
- J. H. CalvoJuan JuradoM. D. Pérez-GuzmánM. JoyCarmen GonzálezElda DervishiP. SartoVidal Montoro
- Journals
- Animal Genetics (5 papers)Livestock Science (5 papers)Cell Stress and Chaperones (5 papers)
- Partner nations
- SpainFranceNew Zealand
In The Last Decade
M. Serrano
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Animal Science and Zoology 359
- Agronomy and Crop Science 343
- Genetics 671
- Reproductive Medicine 130
- Cancer Research 117
Countries citing papers authored by M. Serrano
This map shows the geographic impact of M. Serrano'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. Serrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Serrano more than expected).
Fields of papers citing papers by M. Serrano
This network shows the impact of papers produced by M. Serrano. 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. Serrano. The network helps show where M. Serrano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Serrano, 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 | 2023 | 1 | |
| 2 | 2022 | 26 | |
| 3 | 2021 | 17 | |
| 4 | 2019 | 8 | |
| 5 | Deciphering the role of vaginal and sperm metagenome in the success of artificial insemination in sheep | 2018 | 1 |
| 6 | 2018 | 26 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 10 | |
| 9 | 2015 | 14 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 25 | |
| 12 | 2011 | 72 | |
| 13 | 2010 | 39 | |
| 14 | 2009 | 35 | |
| 15 | 2008 | 92 | |
| 16 | 2007 | 10 | |
| 17 | 2007 | 13 | |
| 18 | Comparing alternative models to account for herd effects in test day milk yield data. | 2006 | 1 |
| 19 | 2004 | 10 | |
| 20 | 2002 | 7 |
About M. Serrano
M. Serrano is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (31 papers), Meat and Animal Product Quality (12 papers), Reproductive Physiology in Livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Effects of Environmental Stressors on Livestock (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Animal Genetics and Reproduction (7 papers) and Lipid metabolism and biosynthesis (6 papers). The work is most often cited by research in Animal Science and Zoology (359 citations), Agronomy and Crop Science (343 citations) and Genetics (671 citations). M. Serrano has collaborated with scholars based in Spain, France and New Zealand. Frequent co-authors include J. H. Calvo, Juan Jurado, M. D. Pérez-Guzmán, M. Joy, Carmen González, Elda Dervishi, P. Sarto, Vidal Montoro, Judit Salces-Ortiz and Carmen J. Serrano. Their work appears in journals such as Animal Genetics, Livestock Science, Cell Stress and Chaperones, Small Ruminant Research 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.