Javier Masot
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock
Papers in
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- Reproductive Physiology in Livestock 6
- Ruminant Nutrition and Digestive Physiology 3
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- Circadian rhythm and melatonin 4
- Co-authors
- E. Redondo (22 shared papers)A. Gázquez (8 shared papers)S. Regodón (6 shared papers)Fernando J. Peña (8 shared papers)David Risco (1 shared paper)José I. Núñez (1 shared paper)José M. Ortiz-Rodríguez (5 shared papers)Cristina Ortega‐Ferrusola (7 shared papers)
In The Last Decade
Javier Masot
23 papers receiving 302 citations
Peers
Comparison fields: 5 of 70
- Reproductive Medicine 81
- Agronomy and Crop Science 53
- Endocrine and Autonomic Systems 31
- Physiology 15
- Parasitology 21
Countries citing papers authored by Javier Masot
This map shows the geographic impact of Javier Masot'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 Javier Masot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Masot more than expected).
Fields of papers citing papers by Javier Masot
This network shows the impact of papers produced by Javier Masot. 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 Javier Masot. The network helps show where Javier Masot may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Masot, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 51 | |
| 2 | 2017 | 30 | |
| 3 | 2012 | 23 | |
| 4 | 2019 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 21 | |
| 7 | 1998 | 16 | |
| 8 | 2010 | 15 | |
| 9 | 2005 | 14 | |
| 10 | 2013 | 14 | |
| 11 | 1998 | 12 | |
| 12 | 2003 | 12 | |
| 13 | 2003 | 11 | |
| 14 | 2014 | 9 | |
| 15 | 2014 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2012 | 5 | |
| 18 | Postnatal maturation of parenchymal cell types in sheep pineal gland : an ultrastructural and immuno-electron-microscopic study 1 . | 2001 | 5 |
| 19 | 2017 | 3 | |
| 20 | 2023 | 3 |
About Javier Masot
Javier Masot is a scholar working on Agronomy and Crop Science, Endocrine and Autonomic Systems, Reproductive Medicine, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 24 papers that have together received 307 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (6 papers), Sperm and Testicular Function (5 papers), Infant Nutrition and Health (4 papers), Genetic and phenotypic traits in livestock (4 papers), Circadian rhythm and melatonin (4 papers), Reproductive Biology and Fertility (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Reproductive Medicine (81 citations), Agronomy and Crop Science (53 citations), Endocrine and Autonomic Systems (31 citations), Physiology (15 citations) and Parasitology (21 citations). Javier Masot has collaborated with scholars based in Spain, Portugal and Sweden. Frequent co-authors include E. Redondo, A. Gázquez, S. Regodón, Fernando J. Peña, David Risco, José I. Núñez, José M. Ortiz-Rodríguez, Cristina Ortega‐Ferrusola, José A. Tapia and M.C. Gil. Their work appears in journals such as Animal Science Journal, Theriogenology, Andrology, The International Journal of Developmental Biology and The Anatomical Record.
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.