Torsten Pook

785 total citations
33 papers, 345 citations indexed

About

Torsten Pook is a scholar working on Genetics, Plant Science and Small Animals. According to data from OpenAlex, Torsten Pook has authored 33 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 20 papers in Plant Science and 3 papers in Small Animals. Recurrent topics in Torsten Pook's work include Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Genetics and Plant Breeding (16 papers). Torsten Pook is often cited by papers focused on Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Genetics and Plant Breeding (16 papers). Torsten Pook collaborates with scholars based in Germany, Netherlands and China. Torsten Pook's co-authors include Henner Simianer, Johannes Geibel, Martin Schlather, Steffen Weigend, Manfred Mayer, Arthur Korte, Christian Reimer, Annett Weigend, D. Cavero and Gustavo de los Campos and has published in prestigious journals such as PLoS ONE, Genetics and Global Change Biology.

In The Last Decade

Torsten Pook

31 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Pook Germany 10 267 179 59 29 21 33 345
Johannes Geibel Germany 8 187 0.7× 58 0.3× 68 1.2× 73 2.5× 19 0.9× 13 248
Ivan Pocrnić United Kingdom 12 414 1.6× 219 1.2× 39 0.7× 70 2.4× 48 2.3× 32 437
Sebastián Munilla Argentina 10 239 0.9× 84 0.5× 36 0.6× 40 1.4× 52 2.5× 31 293
Christina Lehermeier Germany 16 692 2.6× 666 3.7× 35 0.6× 27 0.9× 41 2.0× 19 800
Simon Teyssèdre France 13 385 1.4× 346 1.9× 22 0.4× 28 1.0× 43 2.0× 14 486
David Oldeschulte United States 4 226 0.8× 58 0.3× 180 3.1× 21 0.7× 26 1.2× 5 292
Dahui Huang China 12 172 0.6× 171 1.0× 111 1.9× 18 0.6× 79 3.8× 21 388
Judit Salces-Ortiz Spain 11 128 0.5× 63 0.4× 134 2.3× 57 2.0× 25 1.2× 22 278
Éric Venot France 11 251 0.9× 65 0.4× 22 0.4× 50 1.7× 75 3.6× 21 311

Countries citing papers authored by Torsten Pook

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Pook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Pook

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Pook. A scholar is included among the top collaborators of Torsten Pook 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 Torsten Pook. Torsten Pook 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.
Pook, Torsten, et al.. (2025). Assessing the potential of quantum computing in agriculture. Computers and Electronics in Agriculture. 235. 110332–110332. 2 indexed citations
2.
Čepl, Jaroslav, Arne Steffenrem, Jan Stejskal, et al.. (2025). A Pollen‐Based Assisted Migration for Rapid Forest Adaptation. Global Change Biology. 31(1). e70014–e70014. 2 indexed citations
3.
Martin, Rebecca, Torsten Pook, Jörn Bennewitz, & M Schmid. (2024). Genomic selection strategies for the German Merino sheep breeding programme – A simulation study. Journal of Animal Breeding and Genetics. 142(3). 251–262.
4.
Napel, J. ten, et al.. (2024). Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead. Genetics Selection Evolution. 56(1). 41–41. 3 indexed citations
5.
Geibel, Johannes, et al.. (2024). Optimization of breeding program design through stochastic simulation with evolutionary algorithms. G3 Genes Genomes Genetics. 15(1). 1 indexed citations
6.
Mayer, Manfred, et al.. (2024). Genomic prediction within and across maize landrace derived populations using haplotypes. Frontiers in Plant Science. 15. 1351466–1351466. 4 indexed citations
7.
Freudenberg, Alexander, Jérémie Vandenplas, Martin Schlather, et al.. (2023). Accelerated matrix-vector multiplications for matrices involving genotype covariates with applications in genomic prediction. Frontiers in Genetics. 14. 2 indexed citations
8.
Simianer, Henner, et al.. (2023). How economic weights translate into genetic and phenotypic progress, and vice versa. Genetics Selection Evolution. 55(1). 38–38. 3 indexed citations
9.
Mayer, Manfred, et al.. (2023). Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks. PLoS ONE. 18(3). e0282288–e0282288. 5 indexed citations
10.
Pook, Torsten, et al.. (2022). Development and validation of a horse reference panel for genotype imputation. Genetics Selection Evolution. 54(1). 49–49. 2 indexed citations
11.
Pook, Torsten, et al.. (2021). MoBPSweb: A web-based framework to simulate and compare breeding programs. G3 Genes Genomes Genetics. 11(2). 6 indexed citations
12.
Pook, Torsten, et al.. (2021). Increasing calling accuracy, coverage, and read-depth in sequence data by the use of haplotype blocks. PLoS Genetics. 17(12). e1009944–e1009944. 3 indexed citations
13.
Geibel, Johannes, Christian Reimer, Steffen Weigend, et al.. (2021). How array design creates SNP ascertainment bias. PLoS ONE. 16(3). e0245178–e0245178. 47 indexed citations
14.
Geibel, Johannes, Christian Reimer, Torsten Pook, et al.. (2021). How imputation can mitigate SNP ascertainment Bias. BMC Genomics. 22(1). 340–340. 8 indexed citations
15.
Pook, Torsten, et al.. (2021). Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments. Theoretical and Applied Genetics. 134(9). 2913–2930. 10 indexed citations
16.
Pook, Torsten, Martin Schlather, & Henner Simianer. (2020). MoBPS - Modular Breeding Program Simulator. G3 Genes Genomes Genetics. 10(6). 1915–1918. 45 indexed citations
17.
Campos, Gustavo de los, et al.. (2020). ANOVA-HD: Analysis of variance when both input and output layers are high-dimensional. PLoS ONE. 15(12). e0243251–e0243251. 5 indexed citations
18.
Pook, Torsten, et al.. (2020). Using Local Convolutional Neural Networks for Genomic Prediction. Frontiers in Genetics. 11. 561497–561497. 40 indexed citations
19.
Pook, Torsten, et al.. (2019). HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries. Genetics. 212(4). 1045–1061. 27 indexed citations
20.
Pook, Torsten, Manfred Mayer, Johannes Geibel, et al.. (2019). Improving Imputation Quality in BEAGLE for Crop and Livestock Data. G3 Genes Genomes Genetics. 10(1). 177–188. 49 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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