C. Avilés

719 total citations
40 papers, 554 citations indexed

About

C. Avilés is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, C. Avilés has authored 40 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Animal Science and Zoology, 11 papers in Genetics and 7 papers in Agronomy and Crop Science. Recurrent topics in C. Avilés's work include Meat and Animal Product Quality (33 papers), Animal Nutrition and Physiology (20 papers) and Genetic and phenotypic traits in livestock (10 papers). C. Avilés is often cited by papers focused on Meat and Animal Product Quality (33 papers), Animal Nutrition and Physiology (20 papers) and Genetic and phenotypic traits in livestock (10 papers). C. Avilés collaborates with scholars based in Spain, Canada and Ireland. C. Avilés's co-authors include F. Peña, Andrés Luis Martínez Marín, M. Juárez, O. Polvillo, A. Molina, A. Horcada, Samuel J. Pleasure, Chunjie Zhao, Patrick S. McQuillen and Regina Abel and has published in prestigious journals such as Development, Journal of Animal Science and Environmental Science and Pollution Research.

In The Last Decade

C. Avilés

40 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Avilés Spain 14 329 171 140 87 83 40 554
Estelle Godet France 13 336 1.0× 114 0.7× 187 1.3× 11 0.1× 20 0.2× 23 583
Patrice Ganier France 10 274 0.8× 36 0.2× 56 0.4× 32 0.4× 22 0.3× 17 423
T. Srikanchai Germany 6 303 0.9× 107 0.6× 68 0.5× 16 0.2× 33 0.4× 11 392
Ron K. Tume Australia 11 568 1.7× 84 0.5× 157 1.1× 52 0.6× 231 2.8× 12 790
Jaroslav Čítek Czechia 13 251 0.8× 105 0.6× 67 0.5× 46 0.5× 50 0.6× 60 438
Ho Sung Choe South Korea 14 326 1.0× 63 0.4× 101 0.7× 28 0.3× 47 0.6× 41 539
R. H. Dalrymple United States 16 1.2k 3.7× 66 0.4× 196 1.4× 42 0.5× 221 2.7× 29 1.4k
Seok Ki Im South Korea 8 233 0.7× 102 0.6× 150 1.1× 49 0.6× 40 0.5× 16 393
P.M. Dobbie New Zealand 15 526 1.6× 116 0.7× 130 0.9× 45 0.5× 43 0.5× 27 662

Countries citing papers authored by C. Avilés

Since Specialization
Citations

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

Fields of papers citing papers by C. Avilés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Avilés

This figure shows the co-authorship network connecting the top 25 collaborators of C. Avilés. A scholar is included among the top collaborators of C. Avilés 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 C. Avilés. C. Avilés 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.
Gómez, Rafael, et al.. (2025). Effect of Carbohydrate Formulas on Instrumental and Sensory Parameters in Dry-Fermented Iberian Pork Sausages. Foods. 14(2). 248–248. 1 indexed citations
2.
Gómez, Rafael, et al.. (2023). Butter from Different Species: Composition and Quality Parameters of Products Commercialized in the South of Spain. Animals. 13(22). 3559–3559. 6 indexed citations
3.
4.
Guzmán, J.L., Manuel Delgado-Pertı́ñez, Hortensia Galán‐Soldevilla, et al.. (2020). Effect of Citrus By-product on Physicochemical Parameters, Sensory Analysis and Volatile Composition of Different Kinds of Cheese from Raw Goat Milk. Foods. 9(10). 1420–1420. 14 indexed citations
5.
Avilés, C., et al.. (2018). Effects of concentrates rich in by-products on growth performance, carcass characteristics and meat quality traits of light lambs. Animal Production Science. 59(3). 593–599. 12 indexed citations
6.
Avilés, C., et al.. (2017). EFFECTS OF THE REARING SYSTEM AND GENDER ON THE PERFORMANCE, CARCASS TRAITS, AND INSTRUMENTAL AND SENSORY QUALITY OF MEAT FROM THE "CRIOLLO NEGRO DE LA COSTA ECUATORIANA" PIGS. 27(3). 194–202. 1 indexed citations
7.
Seidavi, Alireza, et al.. (2017). Effects of golpar (Heracleum persicum Desf.) and probiotics in drinking water on performance, carcass characteristics, organ weights, blood plasma constituents, and immunity of broilers. Environmental Science and Pollution Research. 24(30). 23571–23577. 18 indexed citations
8.
9.
Avilés, C., F. Peña, O. Polvillo, et al.. (2015). Association between functional candidate genes and organoleptic meat traits in intensively-fed beef. Meat Science. 107. 33–38. 5 indexed citations
10.
Varona, L., et al.. (2014). Linkage Disequilibrium and Persistence of Phase in Five Spanish Local Beef Cattle Breeds. Proceedings of the World Congress on Genetics Applied to Livestock Production. 502. 2 indexed citations
11.
Avilés, C., O. Polvillo, F. Peña, et al.. (2014). Association Study Between a SNP in BovineSCD1Gene with Fatty Acid Composition in a Spanish Commercial Population Fed with Two Different Diets. Animal Biotechnology. 26(1). 40–44. 7 indexed citations
13.
Peña, F., A. Molina, C. Avilés, M. Juárez, & A. Horcada. (2013). Marbling in the longissimus thoracis muscle from lean cattle breeds. Computer image analysis of fresh versus stained meat samples. Meat Science. 95(3). 512–519. 21 indexed citations
14.
Santos, Rafael Dantas dos, F. Peña, M. Juárez, et al.. (2013). Use of image analysis of cross-sectional cuts to estimate the composition of the 10th–11th–12th rib-cut of European lean beef bulls. Meat Science. 94(3). 312–319. 4 indexed citations
15.
Serrano, Evangelina Rodero, et al.. (2013). Conservation of Endangered Spanish Cattle Breeds Using Markers of Candidate Genes for Meat Quality. Animal Biotechnology. 24(1). 15–24. 6 indexed citations
16.
Marín, Andrés Luis Martínez, et al.. (2013). Selecting the best set of gas chromatography-derived fatty acids to discriminate between two finishing diets using linear discriminant analysis. Meat Science. 95(2). 173–176. 8 indexed citations
17.
Avilés, C., M. Juárez, I. L. Larsen, Argenis Rodas‐González, & J.L. Aalhus. (2013). Effect of multiple vacuum packs on colour development and stability in beef steaks. Meat Science. 96(1). 124–124. 1 indexed citations
18.
Avilés, C., M. Juárez, I. L. Larsen, Argenis Rodas‐González, & J. L. Aalhus. (2013). Effect of multiple vacuum packs on colour development and stability in beef steaks. Canadian Journal of Animal Science. 94(1). 63–69. 13 indexed citations
19.
Avilés, C., et al.. (2009). New Single Nucleotide Polymorphisms in the µ-Calpain Gene in Spanish Maternal Beef Breeds. Animal Biotechnology. 20(3). 161–164. 6 indexed citations
20.
Zhao, Chunjie, C. Avilés, Regina Abel, et al.. (2005). Hippocampal and visuospatial learning defects in mice with a deletion of frizzled 9, a gene in the Williams syndrome deletion interval. Development. 132(12). 2917–2927. 93 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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