Rosa Peiró

689 total citations
57 papers, 452 citations indexed

About

Rosa Peiró is a scholar working on Plant Science, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Rosa Peiró has authored 57 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 19 papers in Animal Science and Zoology and 13 papers in Agronomy and Crop Science. Recurrent topics in Rosa Peiró's work include Rabbits: Nutrition, Reproduction, Health (19 papers), Reproductive Physiology in Livestock (11 papers) and Plant Virus Research Studies (10 papers). Rosa Peiró is often cited by papers focused on Rabbits: Nutrition, Reproduction, Health (19 papers), Reproductive Physiology in Livestock (11 papers) and Plant Virus Research Studies (10 papers). Rosa Peiró collaborates with scholars based in Spain, Italy and United States. Rosa Peiró's co-authors include M. A. Santacreu, A. Blasco, Carmina Gisbert, J. M. Folch, María del Mar Camacho, M. L. García, M. J. Argente, Nuria Martínez‐Navarrete, Antonio Olmos and Mercedes Verdeguer and has published in prestigious journals such as Genetics, Journal of Food Engineering and Journal of Animal Science.

In The Last Decade

Rosa Peiró

46 papers receiving 428 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rosa Peiró Spain 13 242 144 103 82 53 57 452
A. Pietruszka Poland 11 181 0.7× 166 1.2× 48 0.5× 45 0.5× 74 1.4× 41 439
A.A. El-Banna United States 13 218 0.9× 55 0.4× 93 0.9× 59 0.7× 62 1.2× 26 470
V. Maphosa South Africa 13 255 1.1× 94 0.7× 61 0.6× 72 0.9× 52 1.0× 21 465
R. L. Harrold United States 9 76 0.3× 207 1.4× 57 0.6× 76 0.9× 41 0.8× 38 454
Dragan Glamočić Serbia 11 217 0.9× 160 1.1× 75 0.7× 90 1.1× 53 1.0× 28 458
H. P. Pfirter Switzerland 9 101 0.4× 400 2.8× 61 0.6× 46 0.6× 25 0.5× 17 514
Jian Bao China 11 153 0.6× 41 0.3× 92 0.9× 66 0.8× 62 1.2× 32 335
N. Pirany Iran 11 80 0.3× 154 1.1× 29 0.3× 48 0.6× 62 1.2× 25 298
M. E. Babar Pakistan 10 119 0.5× 324 2.3× 43 0.4× 51 0.6× 48 0.9× 26 495
Huawei Li China 10 172 0.7× 31 0.2× 29 0.3× 28 0.3× 98 1.8× 25 304

Countries citing papers authored by Rosa Peiró

Since Specialization
Citations

This map shows the geographic impact of Rosa Peiró'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 Rosa Peiró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Peiró more than expected).

Fields of papers citing papers by Rosa Peiró

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Peiró. 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 Rosa Peiró. The network helps show where Rosa Peiró may publish in the future.

Co-authorship network of co-authors of Rosa Peiró

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Peiró. A scholar is included among the top collaborators of Rosa Peiró 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 Rosa Peiró. Rosa Peiró is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Caruso, A., Stefano Panno, Rosa Peiró, et al.. (2024). Screening Local Sicilian Tomato Ecotypes to Evaluate the Response of Tomato Brown Rugose Fruit Virus Infection. Agronomy. 14(3). 412–412.
2.
3.
Peiró, Rosa, M. J. Argente, & M. L. García. (2023). Changes in Body Reserves, Non-Esterified Fatty Acids, and Leptin during the Reproductive Lifespan of the Rabbit Female. Animals. 13(20). 3213–3213. 1 indexed citations
4.
5.
Peiró, Rosa, et al.. (2019). Correlated responses on growth traits after two-stage selection for ovulation rate and litter size in rabbits. animal. 13(11). 2457–2462. 10 indexed citations
6.
Esteras, Cristina, Rosa Peiró, Fernando Martínez‐Gil, et al.. (2019). Genetic variability in grapevine clones of ‘Muscat of Alexandria’. Acta Horticulturae. 77–80. 2 indexed citations
7.
8.
Peiró, Rosa, et al.. (2017). Somatic embryogenesis from seeds in a broad range of Vitis vinifera L. varieties: rescue of true-to-type virus-free plants. BMC Plant Biology. 17(1). 226–226. 21 indexed citations
9.
Leiva‐Brondo, Miguel, Rosa Peiró, Jaime Cebolla‐Cornejo, & Ana Pérez‐de‐Castro. (2015). SELF AND PEER-ASSESSMENT OF KNOWLEDGE OF CONTEMPORARY ISSUES OUTCOME IN MASTER DEGREES. EDULEARN15 Proceedings. 4836–4843. 1 indexed citations
10.
Leiva‐Brondo, Miguel, Jaime Cebolla‐Cornejo, María Ferriol, et al.. (2014). OUTCOME BASED EDUCATION IN LIFE SCIENCE SUBJECTS IN UNIVERSITAT POLITÈCNICA DE VALÈNCIA. INTED2014 Proceedings. 2310–2314.
11.
García, M. L., Rosa Peiró, M. J. Argente, et al.. (2010). Investigation of the oviductal glycoprotein 1 (OVGP1) gene associated with embryo survival and development in the rabbit1. Journal of Animal Science. 88(5). 1597–1602. 10 indexed citations
12.
Argente, M. J., Rosa Peiró, M. L. García, et al.. (2009). Candidate gene analysis for reproductive traits in two lines of rabbits divergently selected for uterine capacity1. Journal of Animal Science. 88(3). 828–836. 19 indexed citations
13.
Peiró, Rosa, Andreas Herrler, M. A. Santacreu, et al.. (2009). Expression of progesterone receptor related to the polymorphism in the PGR gene in the rabbit reproductive tract1. Journal of Animal Science. 88(2). 421–427. 13 indexed citations
14.
Peiró, Rosa, M. J. Argente, M. A. Santacreu, et al.. (2009). Analysis of the oviductal glycoprotein 1 polymorphisms and their effects on components of litter size in rabbits. Animal Genetics. 40(5). 756–758. 9 indexed citations
15.
Peiró, Rosa, M. A. Santacreu, M. J. Argente, et al.. (2008). Identification of Single-Nucleotide Polymorphism in the Progesterone Receptor Gene and Its Association With Reproductive Traits in Rabbits. Genetics. 180(3). 1699–1705. 25 indexed citations
16.
Peiró, Rosa, M. A. Santacreu, Á. Climent, & A. Blasco. (2007). Early embryonic survival and embryo development in two lines of rabbits divergently selected for uterine capacity1. Journal of Animal Science. 85(7). 1634–1639. 21 indexed citations
17.
Peiró, Rosa, M. A. Santacreu, M. J. Argente, et al.. (2006). Candidate genes for reproductive traits in rabbits: II. Progesterone receptor gene.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 11–13. 1 indexed citations
18.
Peiró, Rosa, M. J. Argente, M. L. García, et al.. (2006). Candidate genes for reproductive traits in rabbits: I. Oviductin gene.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 11–20. 2 indexed citations
19.
Peiró, Rosa, et al.. (2006). Rabbit oviductal glycoprotein 1 gene: Genomic organization polymorphism analysis and mRNA expression. Molecular Reproduction and Development. 74(6). 687–693. 12 indexed citations
20.
Estellé, Jordi, et al.. (2006). TIMP‐1 as candidate gene for embryo survival in two divergent lines selected for uterine capacity in rabbits. Molecular Reproduction and Development. 73(6). 678–684. 7 indexed citations

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.

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