Dierck Segelke

521 total citations
22 papers, 266 citations indexed

About

Dierck Segelke is a scholar working on Genetics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, Dierck Segelke has authored 22 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 7 papers in Agronomy and Crop Science and 5 papers in Plant Science. Recurrent topics in Dierck Segelke's work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Reproductive Physiology in Livestock (6 papers). Dierck Segelke is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Reproductive Physiology in Livestock (6 papers). Dierck Segelke collaborates with scholars based in Germany, Slovakia and Hungary. Dierck Segelke's co-authors include Georg Thaller, F Reinhardt, Reinhard Reents, Jörn Bennewitz, Jens Tetens, Helge Täubert, Zengting Liu, Manuela Reichelt, F. Teuscher and N. Reinsch and has published in prestigious journals such as Genetics, Journal of Dairy Science and Genetics Selection Evolution.

In The Last Decade

Dierck Segelke

22 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dierck Segelke Germany 10 238 80 76 47 29 22 266
Ahmad Ayatollahi Mehrgardi Iran 11 258 1.1× 66 0.8× 68 0.9× 51 1.1× 87 3.0× 29 344
G. Erhardt Germany 6 321 1.3× 65 0.8× 99 1.3× 30 0.6× 48 1.7× 14 375
Archie C. Clutter United States 5 129 0.5× 112 1.4× 54 0.7× 26 0.6× 12 0.4× 5 244
Xiangyu Guo Denmark 12 280 1.2× 120 1.5× 98 1.3× 42 0.9× 73 2.5× 34 389
Guillaume G. Baloche France 5 252 1.1× 77 1.0× 136 1.8× 25 0.5× 74 2.6× 6 320
Laís Grigoletto Brazil 10 218 0.9× 38 0.5× 76 1.0× 48 1.0× 53 1.8× 16 244
Tara R. Carthy Ireland 13 285 1.2× 19 0.2× 161 2.1× 72 1.5× 46 1.6× 20 329
Mahmoud Amiri Roudbar Iran 9 175 0.7× 20 0.3× 53 0.7× 48 1.0× 34 1.2× 22 265
Rabia Letaïef France 6 225 0.9× 44 0.6× 57 0.8× 83 1.8× 23 0.8× 7 254
Deukhwan Lee South Korea 13 353 1.5× 72 0.9× 76 1.0× 91 1.9× 113 3.9× 36 393

Countries citing papers authored by Dierck Segelke

Since Specialization
Citations

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

Fields of papers citing papers by Dierck Segelke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dierck Segelke

This figure shows the co-authorship network connecting the top 25 collaborators of Dierck Segelke. A scholar is included among the top collaborators of Dierck Segelke 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 Dierck Segelke. Dierck Segelke 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.
Liu, Zengting, et al.. (2025). Genetics of twin birth rate in German Holstein and options for breeding. Journal of Dairy Science. 108(6). 6161–6173. 1 indexed citations
2.
Liu, Zengting, R.D. Evans, T. Pabiou, et al.. (2025). The impact of deregressed foreign breeding values on national beef cattle single-step genomic evaluation. Genetics Selection Evolution. 57(1). 37–37. 1 indexed citations
3.
Schenkel, Flávio S., F. Miglior, J. Jamrozik, et al.. (2023). Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle. Journal of Dairy Science. 107(3). 1523–1534. 3 indexed citations
4.
Liu, Zengting, et al.. (2023). Single‐step SNPBLUP evaluation in six German beef cattle breeds. Journal of Animal Breeding and Genetics. 140(5). 496–507. 1 indexed citations
5.
Segelke, Dierck, et al.. (2022). A genomic assessment of the correlation between milk production traits and claw and udder health traits in Holstein dairy cattle. Journal of Dairy Science. 106(2). 1190–1205. 9 indexed citations
6.
Segelke, Dierck, et al.. (2022). Genetic analysis of production traits and body size measurements and their relationships with metabolic diseases in German Holstein cattle. Journal of Dairy Science. 106(1). 421–438. 18 indexed citations
7.
8.
Arends, Danny, et al.. (2021). Implementation of an Economic Lifetime Net Merit for the Dual-Purpose German Black Pied Cattle Breed. Agriculture. 11(1). 41–41. 2 indexed citations
9.
Jander, Sebastian, Mirja Koy, Dierck Segelke, et al.. (2019). Genetic selection for bovine chromosome 18 haplotypes associated with divergent somatic cell score affects postpartum reproductive and metabolic performance. Journal of Dairy Science. 102(11). 9983–9994. 7 indexed citations
10.
Segelke, Dierck, et al.. (2019). Imputation of genetic characteristics using deep learning methods. Bulletin - International Bull Evaluation Service/Interbull bulletin. 103–106. 1 indexed citations
11.
Liu, Zengting, et al.. (2019). Genomic prediction of health traits using a mixed reference bull and cow reference population for German Holsteins.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 35–45. 1 indexed citations
12.
Rensing, Stefan A., et al.. (2017). Cow Reference Population – Benefit for Genomic Evaluation System and Farmers. Bulletin - International Bull Evaluation Service/Interbull bulletin. 63–66. 3 indexed citations
13.
Wang, Y., Dierck Segelke, Reiner Emmerling, Jörn Bennewitz, & Robin Wellmann. (2017). Long-Term Impact of Optimum Contribution Selection Strategies on Local Livestock Breeds with Historical Introgression Using the Example of German Angler Cattle. G3 Genes Genomes Genetics. 7(12). 4009–4018. 21 indexed citations
14.
Reichelt, Manuela, et al.. (2016). Mendelian sampling covariability of marker effects and genetic values. Genetics Selection Evolution. 48(1). 36–36. 26 indexed citations
15.
Kipp, Sandra, Dierck Segelke, F Reinhardt, et al.. (2016). Identification of a haplotype associated with cholesterol deficiency and increased juvenile mortality in Holstein cattle. Journal of Dairy Science. 99(11). 8915–8931. 35 indexed citations
16.
Segelke, Dierck, Helge Täubert, F Reinhardt, & Georg Thaller. (2015). Considering genetic characteristics in German Holstein breeding programs. Journal of Dairy Science. 99(1). 458–467. 25 indexed citations
17.
Segelke, Dierck, Helge Täubert, Sandra Jansen, et al.. (2014). Management of Genetic Characteristics. Bulletin - International Bull Evaluation Service/Interbull bulletin. 85–88. 3 indexed citations
18.
Segelke, Dierck, F Reinhardt, Zengting Liu, & Georg Thaller. (2014). Prediction of expected genetic variation within groups of offspring for innovative mating schemes. Genetics Selection Evolution. 46(1). 42–42. 17 indexed citations
19.
Segelke, Dierck, Helge Täubert, F. Reinhardt, & Georg Thaller. (2013). Chances and limits of breeding polled cattle Deutsche Holstein.. Züchtungskunde. 85(4). 253–269. 2 indexed citations
20.
Segelke, Dierck, et al.. (2012). Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips. Journal of Dairy Science. 95(9). 5403–5411. 46 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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2026