Rayner González-Prendes

661 total citations
24 papers, 350 citations indexed

About

Rayner González-Prendes is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Rayner González-Prendes has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Animal Science and Zoology. Recurrent topics in Rayner González-Prendes's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (11 papers) and Cancer-related molecular mechanisms research (6 papers). Rayner González-Prendes is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (11 papers) and Cancer-related molecular mechanisms research (6 papers). Rayner González-Prendes collaborates with scholars based in Spain, Netherlands and Brazil. Rayner González-Prendes's co-authors include Marcel Amills, Raquel Quintanilla, Tainã Figueiredo Cardoso, Ángela Cánovas, Anna Castelló, Yuliaxis Ramayo‐Caldas, Ramona N. Pena, Emilio Mármol‐Sánchez, J. Tibau and Arianna Manunza and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Rayner González-Prendes

23 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rayner González-Prendes Spain 13 200 126 103 79 53 24 350
Tianzeng Song China 10 170 0.8× 112 0.9× 90 0.9× 39 0.5× 37 0.7× 42 350
Maria Oczkowicz Poland 12 250 1.3× 199 1.6× 103 1.0× 180 2.3× 64 1.2× 59 508
Camila Urbano Braz United States 12 215 1.1× 81 0.6× 61 0.6× 87 1.1× 26 0.5× 37 349
Andressa Oliveira de Lima Brazil 9 222 1.1× 102 0.8× 104 1.0× 62 0.8× 23 0.4× 26 328
Huarui Du China 12 111 0.6× 218 1.7× 136 1.3× 162 2.1× 32 0.6× 37 465
Xueqin Ran China 13 202 1.0× 161 1.3× 114 1.1× 32 0.4× 24 0.5× 35 441
Jianning He China 12 153 0.8× 137 1.1× 157 1.5× 29 0.4× 15 0.3× 33 351
Guangliang Gao China 10 127 0.6× 159 1.3× 39 0.4× 82 1.0× 14 0.3× 34 291
Xiangpeng Yue China 12 224 1.1× 161 1.3× 46 0.4× 178 2.3× 27 0.5× 26 447
Tianle Chao China 14 187 0.9× 207 1.6× 210 2.0× 39 0.5× 20 0.4× 42 431

Countries citing papers authored by Rayner González-Prendes

Since Specialization
Citations

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

Fields of papers citing papers by Rayner González-Prendes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rayner González-Prendes. 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 Rayner González-Prendes. The network helps show where Rayner González-Prendes may publish in the future.

Co-authorship network of co-authors of Rayner González-Prendes

This figure shows the co-authorship network connecting the top 25 collaborators of Rayner González-Prendes. A scholar is included among the top collaborators of Rayner González-Prendes 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 Rayner González-Prendes. Rayner González-Prendes 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.
2.
González-Prendes, Rayner, Ying Liu, Juha Kantanen, et al.. (2025). Evidence of early genomic selection in Holstein Friesian across African and European ecosystems. BMC Genomics. 26(1). 615–615.
3.
Gòdia, Marta, Martijn F. L. Derks, B. Harlizius, et al.. (2024). Expression genome-wide association study identifies key regulatory variants enriched with metabolic and immune functions in four porcine tissues. BMC Genomics. 25(1). 684–684. 3 indexed citations
4.
González-Prendes, Rayner, et al.. (2024). Genetic and environmental factors shaping goat milk oligosaccharide composition. Journal of Dairy Science. 107(12). 11214–11223. 1 indexed citations
5.
Ghanem, Nasser, M. A. Radwan, Ahmed Elnahas, et al.. (2024). Gut Microbiota Diversity of Local Egyptian Cattle Managed in Different Ecosystems. Animals. 14(18). 2752–2752. 1 indexed citations
6.
González-Prendes, Rayner, et al.. (2022). Transcriptome shifts triggered by vitamin A and SCD genotype interaction in Duroc pigs. BMC Genomics. 23(1). 16–16. 4 indexed citations
7.
González-Prendes, Rayner, Catarina Ginja, Juha Kantanen, et al.. (2022). Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences. PLoS ONE. 17(10). e0276309–e0276309. 4 indexed citations
8.
Noce, Antonia, Saber Qanbari, Rayner González-Prendes, et al.. (2021). Genetic Diversity of Bubalus bubalis in Germany and Global Relations of Its Genetic Background. Frontiers in Genetics. 11. 610353–610353. 10 indexed citations
9.
Gòdia, Marta, Antônio Reverter, Rayner González-Prendes, et al.. (2020). A systems biology framework integrating GWAS and RNA-seq to shed light on the molecular basis of sperm quality in swine. Genetics Selection Evolution. 52(1). 72–72. 38 indexed citations
10.
Mármol‐Sánchez, Emilio, Yuliaxis Ramayo‐Caldas, Raquel Quintanilla, et al.. (2020). Co-expression network analysis predicts a key role of microRNAs in the adaptation of the porcine skeletal muscle to nutrient supply. Journal of Animal Science and Biotechnology. 11(1). 10–10. 12 indexed citations
11.
González-Prendes, Rayner, et al.. (2019). Modulatory Effect of Protein and Carotene Dietary Levels on Pig gut Microbiota. Scientific Reports. 9(1). 14582–14582. 20 indexed citations
12.
González-Prendes, Rayner, Emilio Mármol‐Sánchez, Raquel Quintanilla, et al.. (2019). About the existence of common determinants of gene expression in the porcine liver and skeletal muscle. BMC Genomics. 20(1). 518–518. 10 indexed citations
13.
González-Prendes, Rayner, L. Bosch, M. Tör, et al.. (2019). Linoleic acid metabolic pathway allows for an efficient increase of intramuscular fat content in pigs. Journal of Animal Science and Biotechnology. 10(1). 33–33. 16 indexed citations
14.
Cardoso, Tainã Figueiredo, Raquel Quintanilla, Anna Castelló, et al.. (2018). Differential expression of mRNA isoforms in the skeletal muscle of pigs with distinct growth and fatness profiles. BMC Genomics. 19(1). 145–145. 33 indexed citations
15.
González-Prendes, Rayner, Raquel Quintanilla, & Marcel Amills. (2017). Investigating the genetic regulation of the expression of 63 lipid metabolism genes in the pig skeletal muscle. Animal Genetics. 48(5). 606–610. 6 indexed citations
16.
González-Prendes, Rayner, Raquel Quintanilla, J. Tibau, et al.. (2017). A genome‐wide association analysis for carcass traits in a commercial Duroc pig population. Animal Genetics. 48(4). 466–469. 15 indexed citations
17.
González-Prendes, Rayner, Raquel Quintanilla, Ángela Cánovas, et al.. (2017). Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits. Scientific Reports. 7(1). 39830–39830. 29 indexed citations
18.
Cardoso, Tainã Figueiredo, Raquel Quintanilla, J. Tibau, et al.. (2017). Nutrient supply affects the mRNA expression profile of the porcine skeletal muscle. BMC Genomics. 18(1). 603–603. 20 indexed citations
19.
Cardoso, Tainã Figueiredo, Ángela Cánovas, Oriol Canela‐Xandri, et al.. (2017). RNA-seq based detection of differentially expressed genes in the skeletal muscle of Duroc pigs with distinct lipid profiles. Scientific Reports. 7(1). 40005–40005. 42 indexed citations
20.
Manunza, Arianna, J. Casellas, Raquel Quintanilla, et al.. (2014). A genome-wide association analysis for porcine serum lipid traits reveals the existence of age-specific genetic determinants. BMC Genomics. 15(1). 758–758. 24 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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