P. Santolaria
- Agronomy and Crop Science top 0.1%
- Genetics top 1%
- Animal Science and Zoology top 0.1%
- Public Health, Environmental and Occupational Health top 1%
- Reproductive Medicine top 0.5%
- Co-authors
- J.L. YánizF. López‐GatiusManel López‐BéjarI. García‐IspiertoC. SañudoC. NogaredaI. PalacínM.M. Campo
- Topics
- Reproductive Physiology in Livestock (42 papers)Reproductive Biology and Fertility (37 papers)Sperm and Testicular Function (37 papers)
In The Last Decade
P. Santolaria
119 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 126
- Agronomy and Crop Science 2.2k
- Genetics 1.8k
- Animal Science and Zoology 1.6k
- Public Health, Environmental and Occupational Health 1.1k
- Reproductive Medicine 1.1k
Countries citing papers authored by P. Santolaria
This map shows the geographic impact of P. Santolaria'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 P. Santolaria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Santolaria more than expected).
Fields of papers citing papers by P. Santolaria
This network shows the impact of papers produced by P. Santolaria. 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 P. Santolaria. The network helps show where P. Santolaria may publish in the future.
Co-authorship network of co-authors of P. Santolaria
This figure shows the co-authorship network connecting the top 25 collaborators of P. Santolaria. A scholar is included among the top collaborators of P. Santolaria based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Santolaria. P. Santolaria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 55 | |
| 13 | 6 | |
| 14 | 33 | |
| 15 | 56 | |
| 16 | Caracterización de la abeja melífera en la provincia de Huesca | 1 |
| 17 | 9 | |
| 18 | A comparative study of sperm morphometric subpopulations in cattle, goat, sheep and pigs using the CASMA-F method. | 1 |
| 19 | Gamma interferon production correlates negatively with plasma levels of pregnancy-associated glycoprotein-1 (PAG-1) during gestation in dairy cows naturally infected with Neospora caninum | 1 |
| 20 | A nem fertozo környezet egyes tényezoinek hatása a késoi embrionális és a korai magzati mortalitásra északkelet-spanyolország nagy termelésu tejhasznúszarvasmarha-állományaiban | 14 |
About P. Santolaria
P. Santolaria is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Animal Science and Zoology, having authored 123 papers that have together received 4.5k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (42 papers), Reproductive Biology and Fertility (37 papers) and Sperm and Testicular Function (37 papers). The work is most often cited by research in Agronomy and Crop Science (2.2k citations), Animal Science and Zoology (1.6k citations) and Reproductive Medicine (1.1k citations). P. Santolaria has collaborated with scholars based in Spain, Belgium and Italy. Frequent co-authors include J.L. Yániz, F. López‐Gatius, Manel López‐Béjar, I. García‐Ispierto, C. Sañudo, C. Nogareda, I. Palacín, M.M. Campo, S. Vicente-Fiel and Miguel Á. Silvestre. Their work appears in journals such as Sensors, Nutrients and PLoS Computational Biology.
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.