E.C.G. Pimentel

967 total citations
33 papers, 738 citations indexed

About

E.C.G. Pimentel is a scholar working on Genetics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, E.C.G. Pimentel has authored 33 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 16 papers in Plant Science and 6 papers in Agronomy and Crop Science. Recurrent topics in E.C.G. Pimentel's work include Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Genetics and Plant Breeding (14 papers). E.C.G. Pimentel is often cited by papers focused on Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Genetics and Plant Breeding (14 papers). E.C.G. Pimentel collaborates with scholars based in Germany, Switzerland and Argentina. E.C.G. Pimentel's co-authors include Jens Tetens, Georg Thaller, Henner Simianer, Saber Qanbari, Peter Lichtner, Ahmad Reza Sharifi, Kay‐Uwe Götz, Christian Edel, S. König and Reiner Emmerling and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Genetics Selection Evolution.

In The Last Decade

E.C.G. Pimentel

33 papers receiving 722 citations

Peers

E.C.G. Pimentel

GENET

ACS

ASZ

Daniel Jordan de Abreu Santos Brazil

D.A. Grossi Brazil

Gabriele Marras Italy

C. Weimann Germany

L. Vostrý Czechia

Takeshi Honda Japan

Chris Hozé France

Beat Bapst Switzerland

Sebastian Mucha Poland

Amir Rashidi Iran

Daniel Jordan de Abreu Santos Brazil

E.C.G. Pimentel

517 ×0.8

GENET

203 ×1.0

ACS

123 ×0.6

124 ×1.2

ASZ

120 ×1.2

Citations per year, relative to E.C.G. Pimentel E.C.G. Pimentel (= 1×) peers Daniel Jordan de Abreu Santos

Countries citing papers authored by E.C.G. Pimentel

Since Specialization

Citations

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

Fields of papers citing papers by E.C.G. Pimentel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.C.G. Pimentel

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

All Works

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20 of 20 papers shown

Edel, Christian, et al.. (2024). Definition of metafounders based on population structure analysis. Genetics Selection Evolution. 56(1). 43–43. 2 indexed citations

Pimentel, E.C.G., Christian Edel, Reiner Emmerling, & Kay‐Uwe Götz. (2023). How pedigree errors affect genetic evaluations and validation statistics. Journal of Dairy Science. 107(6). 3716–3723. 2 indexed citations

Erbe, Malena, et al.. (2019). Approximation of Reliability in Single Step Models using the Interbull Standardized Genomic Reliability Method. Bulletin - International Bull Evaluation Service/Interbull bulletin. 3 indexed citations

Pimentel, E.C.G., Christian Edel, Reiner Emmerling, & Kay‐Uwe Götz. (2019). Technical note: Methods for interim prediction of single-step breeding values for young animals. Journal of Dairy Science. 102(4). 3266–3273. 3 indexed citations

Martini, Johannes W. R., E.C.G. Pimentel, Sebastián Munilla, et al.. (2018). The effect of the H−1 scaling factors τ and ω on the structure of H in the single-step procedure. Genetics Selection Evolution. 50(1). 16–16. 29 indexed citations

Edel, Christian, et al.. (2017). Effects of Selective Genotyping and Selective Imputation in Single-Step GBLUP. Bulletin - International Bull Evaluation Service/Interbull bulletin. 3 indexed citations

Edel, Christian, et al.. (2015). A simple method to separate base population and segregation effects in genomic relationship matrices. Genetics Selection Evolution. 47(1). 53–53. 11 indexed citations

Tetens, Jens, et al.. (2014). Bos indicusintrogression into (peri-)alpine cattle breeds - evidence from the analysis of bovine whey protein variants. Animal Genetics. 45(4). 585–588. 8 indexed citations

Yin, Tong, E.C.G. Pimentel, Uta König von Borstel, & S. König. (2014). Strategy for the simulation and analysis of longitudinal phenotypic and genomic data in the context of a temperature × humidity-dependent covariate. Journal of Dairy Science. 97(4). 2444–2454. 20 indexed citations

10.

Pimentel, E.C.G., Monika Wensch-Dorendorf, Sven König, & H.H. Swalve. (2013). Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture. Genetics Selection Evolution. 45(1). 12–12. 28 indexed citations

11.

Qanbari, Saber, et al.. (2012). DNA-based identification of novel bovine casein gene variants. Journal of Dairy Science. 96(1). 699–709. 64 indexed citations

12.

Nejati‐Javaremi, A., et al.. (2012). Selective genotyping and logistic regression analyses to identify favorable SNP-genotypes for clinical mastitis and production traits in Holstein dairy cattle. Livestock Science. 151(2-3). 140–151. 16 indexed citations

13.

Pimentel, E.C.G., et al.. (2011). Controlling inbreeding and maximizing genetic gain using semi-definite programming with pedigree-based and genomic relationships. Journal of Dairy Science. 94(12). 6143–6152. 27 indexed citations

14.

Erbe, Malena, et al.. (2010). Comparison of three whole genome association mapping approaches in selected populations.. Züchtungskunde. 82(1). 77–87. 1 indexed citations

15.

Pimentel, E.C.G., Stefan Bauersachs, Henner Simianer, et al.. (2010). Exploration of relationships between production and fertility traits in dairy cattle via association studies of SNPs within candidate genes derived by expression profiling. Animal Genetics. 42(3). 251–262. 68 indexed citations

16.

Qanbari, Saber, E.C.G. Pimentel, Jens Tetens, et al.. (2010). The pattern of linkage disequilibrium in German Holstein cattle. Animal Genetics. 41(4). 346–356. 162 indexed citations

17.

Erbe, Malena, et al.. (2010). Power and robustness of three whole genome association mapping approaches in selected populations. Journal of Animal Breeding and Genetics. 128(1). 3–14. 5 indexed citations

18.

Pimentel, E.C.G., Sven König, Flávio S. Schenkel, & Henner Simianer. (2009). Comparison of statistical procedures for estimating polygenic effects using dense genome-wide marker data. BMC Proceedings. 3(S1). S12–S12. 4 indexed citations

19.

Simianer, Henner & E.C.G. Pimentel. (2009). Robust QTL fine mapping by applying a quantitative transmission disequilibrium test to the Mendelian sampling term. Journal of Animal Breeding and Genetics. 126(6). 432–442. 1 indexed citations

20.

Pimentel, E.C.G., et al.. (2006). Combining phenotypic and genetic information into a selection criterion to improve beef cow efficiency.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 3–73. 1 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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