Andreas Kranis

1.5k total citations
39 papers, 710 citations indexed

About

Andreas Kranis is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Andreas Kranis has authored 39 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 26 papers in Animal Science and Zoology and 7 papers in Plant Science. Recurrent topics in Andreas Kranis's work include Genetic and phenotypic traits in livestock (36 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Animal Nutrition and Physiology (25 papers). Andreas Kranis is often cited by papers focused on Genetic and phenotypic traits in livestock (36 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Animal Nutrition and Physiology (25 papers). Andreas Kranis collaborates with scholars based in United Kingdom, United States and Greece. Andreas Kranis's co-authors include Daniel Gianola, Guilherme J. M. Rosa, Gota Morota, Rostam Abdollahi-Arpanahi, K.A. Weigel, Óscar González-Recio, B.D. Valente, John M. Hickey, Santiago Avendaño and Kellie Watson and has published in prestigious journals such as Nature Genetics, Scientific Reports and BMC Genomics.

In The Last Decade

Andreas Kranis

38 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Kranis United Kingdom 17 599 233 201 84 51 39 710
El Hamidi Hay United States 16 492 0.8× 166 0.7× 94 0.5× 139 1.7× 86 1.7× 46 593
Sarah Laguna Conceição Meirelles Brazil 14 356 0.6× 89 0.4× 156 0.8× 76 0.9× 112 2.2× 41 538
F. J. Lopez Mexico 11 611 1.0× 192 0.8× 173 0.9× 85 1.0× 253 5.0× 57 756
L. Vostrý Czechia 14 606 1.0× 133 0.6× 178 0.9× 42 0.5× 206 4.0× 113 740
Renata Veroneze Brazil 15 481 0.8× 109 0.5× 254 1.3× 74 0.9× 143 2.8× 77 680
Clint Schwab United States 12 332 0.6× 96 0.4× 226 1.1× 188 2.2× 59 1.2× 25 563
Jung-Woo Choi South Korea 13 563 0.9× 186 0.8× 119 0.6× 242 2.9× 57 1.1× 45 766
Trygve Solberg Norway 11 766 1.3× 372 1.6× 102 0.5× 49 0.6× 125 2.5× 16 849
Duc Lu United States 11 388 0.6× 111 0.5× 237 1.2× 118 1.4× 139 2.7× 23 600
Mara Battagin Italy 13 312 0.5× 182 0.8× 90 0.4× 73 0.9× 67 1.3× 23 447

Countries citing papers authored by Andreas Kranis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kranis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kranis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Kranis. A scholar is included among the top collaborators of Andreas Kranis 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 Andreas Kranis. Andreas Kranis 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.
Matika, Oswald, Ian Dunn, Andrea Talenti, et al.. (2025). Leveraging genome-wide association analyses with chip and imputed data emerges potential pleiotropic region for four duck growth traits. Scientific Reports. 15(1). 23625–23625.
2.
Ibáñez‐Escriche, Noelia, et al.. (2023). Genetic Variance Estimation over Time in Broiler Breeding Programmes for Growth and Reproductive Traits. Animals. 13(21). 3306–3306. 5 indexed citations
3.
Dadousis, Christos, Martin Johnsson, Richard J. Mellanby, et al.. (2021). A genome-wide association analysis for body weight at 35 days measured on 137,343 broiler chickens. Genetics Selection Evolution. 53(1). 70–70. 22 indexed citations
4.
Kranis, Andreas, et al.. (2020). Deciphering the mode of action and position of genetic variants impacting on egg number in broiler breeders. BMC Genomics. 21(1). 512–512. 11 indexed citations
5.
Momen, Mehdi, Ahmad Ayatollahi Mehrgardi, Mahmoud Amiri Roudbar, et al.. (2018). Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models. Frontiers in Genetics. 9. 455–455. 24 indexed citations
6.
Kranis, Andreas, et al.. (2018). Investigating the functional role of 1,012 candidate genes identified by a Genome Wide Association Study for body weight in broilers. Edinburgh Research Explorer. 564. 2 indexed citations
7.
Momen, Mehdi, Ahmad Ayatollahi Mehrgardi, Ali Esmailizadeh, et al.. (2017). A predictive assessment of genetic correlations between traits in chickens using markers. Genetics Selection Evolution. 49(1). 16–16. 26 indexed citations
8.
Meuwissen, T.H.E., et al.. (2017). Use and optimization of different sources of information for genomic prediction. Genetics Selection Evolution. 49(1). 90–90. 3 indexed citations
9.
Abdollahi-Arpanahi, Rostam, Gota Morota, B.D. Valente, et al.. (2016). Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens. Genetics Selection Evolution. 48(1). 10–10. 22 indexed citations
10.
Kranis, Andreas, et al.. (2014). The Effect of Training Population Size and Chip Density on Accuracy and Bias of Genomic Predictions in Broiler Chickens. Proceedings of the World Congress on Genetics Applied to Livestock Production. 84. 2 indexed citations
11.
Hickey, John M., Gregor Gorjanc, Matthew A. Cleveland, et al.. (2014). Sequencing Millions of Animals for Genomic Selection 2.0. Proceedings of the World Congress on Genetics Applied to Livestock Production. 377. 7 indexed citations
12.
Wolc, Anna, Andreas Kranis, Jesus Arango, et al.. (2014). Applications of Genomic Selection in Poultry. Iowa State University Digital Repository (Iowa State University). 80. 2 indexed citations
13.
Corbin, Laura J., Andreas Kranis, Sarah Blott, et al.. (2014). The utility of low-density genotyping for imputation in the Thoroughbred horse. Genetics Selection Evolution. 46(1). 9–9. 26 indexed citations
14.
Hickey, John M. & Andreas Kranis. (2013). Extending long-range phasing and haplotype library imputation methods to impute genotypes on sex chromosomes. Genetics Selection Evolution. 45(1). 10–10. 17 indexed citations
15.
Hickey, John M., Matthew A. Cleveland, Christian Maltecca, et al.. (2013). Genotype Imputation to Increase Sample Size in Pedigreed Populations. Methods in molecular biology. 1019. 395–410. 6 indexed citations
16.
Wang, Chong, David Habier, Anna Wolc, et al.. (2013). Accuracy of genomic prediction using an evenly spaced, low-density single nucleotide polymorphism panel in broiler chickens. Poultry Science. 92(7). 1712–1723. 23 indexed citations
17.
Powell, Joseph E., et al.. (2011). Optimal use of regression models in genome‐wide association studies. Animal Genetics. 43(2). 133–143. 7 indexed citations
18.
Long, Nanye, Daniel Gianola, Guilherme J. M. Rosa, et al.. (2010). Radial basis function regression methods for predicting quantitative traits using SNP markers. Genetics Research. 92(3). 209–225. 43 indexed citations
19.
González-Recio, Óscar, Daniel Gianola, Guilherme J. M. Rosa, K.A. Weigel, & Andreas Kranis. (2009). Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens. Genetics Selection Evolution. 41(1). 3–3. 48 indexed citations
20.
Kranis, Andreas, P.M. Hocking, William G. Hill, & J.A. Woolliams. (2006). Genetic parameters for a heavy female turkey line: impact of simultaneous selection for body weight and total egg number. British Poultry Science. 47(6). 685–693. 16 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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