Robin Wellmann

1.4k total citations
58 papers, 892 citations indexed

About

Robin Wellmann is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Robin Wellmann has authored 58 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 17 papers in Animal Science and Zoology and 13 papers in Agronomy and Crop Science. Recurrent topics in Robin Wellmann's work include Genetic and phenotypic traits in livestock (46 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers) and Animal Nutrition and Physiology (11 papers). Robin Wellmann is often cited by papers focused on Genetic and phenotypic traits in livestock (46 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers) and Animal Nutrition and Physiology (11 papers). Robin Wellmann collaborates with scholars based in Germany, Norway and Slovakia. Robin Wellmann's co-authors include Jörn Bennewitz, Siegfried Preuß, Amélia Camarinha‐Silva, Sonja Hartwig, Marius Vital, Christine H. Müller, T.H.E. Meuwissen, Y. Wang, M. Rodehutscord and Dirk Hinrichs and has published in prestigious journals such as Genetics, Journal of Dairy Science and BMC Bioinformatics.

In The Last Decade

Robin Wellmann

54 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Wellmann Germany 18 678 225 212 172 134 58 892
Stewart Bauck United States 13 438 0.6× 196 0.9× 93 0.4× 87 0.5× 39 0.3× 36 585
Natascha Vukasinovic United States 16 685 1.0× 124 0.6× 215 1.0× 351 2.0× 24 0.2× 38 829
Santiago Avendaño United Kingdom 22 746 1.1× 334 1.5× 658 3.1× 59 0.3× 122 0.9× 48 1.3k
Kent A. Gray United States 20 587 0.9× 101 0.4× 465 2.2× 173 1.0× 222 1.7× 52 978
JL Foulley France 12 758 1.1× 228 1.0× 217 1.0× 307 1.8× 14 0.1× 27 901
Eduardo Manfredi France 20 1.9k 2.7× 886 3.9× 248 1.2× 596 3.5× 156 1.2× 50 2.1k
E. Lipkin Israel 18 693 1.0× 213 0.9× 115 0.5× 226 1.3× 258 1.9× 42 1.0k
M. L. Martinez Brazil 17 535 0.8× 131 0.6× 220 1.0× 338 2.0× 49 0.4× 63 829
Duc Lu United States 11 388 0.6× 111 0.5× 237 1.1× 139 0.8× 118 0.9× 23 600
Ingrid David France 16 326 0.5× 47 0.2× 244 1.2× 215 1.3× 43 0.3× 61 655

Countries citing papers authored by Robin Wellmann

Since Specialization
Citations

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

Fields of papers citing papers by Robin Wellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Wellmann

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Wellmann. A scholar is included among the top collaborators of Robin Wellmann 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 Robin Wellmann. Robin Wellmann 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
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Wellmann, Robin, et al.. (2024). Simulation of dual-purpose chicken breeding programs implementing gene editing. Genetics Selection Evolution. 56(1). 7–7.
3.
Wellmann, Robin, et al.. (2024). Resilience indicator traits in 3 dairy cattle breeds in Baden-Württemberg. Journal of Dairy Science. 107(6). 3780–3793. 3 indexed citations
4.
Wellmann, Robin, et al.. (2024). Toward a resilience selection index with indicator traits in German Holstein dairy cattle. Journal of Dairy Science. 108(1). 726–734.
5.
Tetens, Jens, et al.. (2023). Genomic dominance variance analysis of health and milk production traits in German Holstein cattle. Journal of Animal Breeding and Genetics. 140(4). 390–399. 5 indexed citations
6.
Bennewitz, Jörn, et al.. (2020). A Review of Genomic Models for the Analysis of Livestock Crossbred Data. Frontiers in Genetics. 11. 568–568. 22 indexed citations
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Wellmann, Robin, et al.. (2018). Genetic diversity and historic introgression in German Angler and Red Dual Purpose cattle and possibilities to reverse introgression. Acta Agriculturae Scandinavica Section A – Animal Science. 68(2). 63–72. 2 indexed citations
10.
Schmid, M, Robin Wellmann, Siegfried Preuß, et al.. (2018). Linkage disequilibrium pattern and genome-wide association mapping for meat traits in multiple porcine F2-crosses. Proceedings of the World Congress on Genetics Applied to Livestock Production. 19. 1 indexed citations
11.
Wellmann, Robin. (2018). optiSel: An R package for Advanced Optimum Contribution Selection. Proceedings of the World Congress on Genetics Applied to Livestock Production. 54. 3 indexed citations
12.
Wellmann, Robin, et al.. (2018). Performance of a novel breeding value in context of breed conservation. Proceedings of the World Congress on Genetics Applied to Livestock Production. 22. 1 indexed citations
13.
Schmid, M, Robin Wellmann, & Jörn Bennewitz. (2018). Power and precision of QTL mapping in simulated multiple porcine F2 crosses using whole-genome sequence information. BMC Genetics. 19(1). 22–22. 6 indexed citations
14.
Wellmann, Robin. (2014). Joint genomic evaluation of cows and bulls with BayesD for prediction of genotypic values and dominance deviations. 1 indexed citations
15.
Woolliams, John, et al.. (2014). Genomic Predictions Using Whole Genome Sequence Data and Multi-breed Reference Populations. Proceedings of the World Congress on Genetics Applied to Livestock Production. 178. 1 indexed citations
16.
Hartwig, Sonja, Robin Wellmann, Reiner Emmerling, H. Hamann, & Jörn Bennewitz. (2014). Short communication: Importance of introgression for milk traits in the German Vorderwald and Hinterwald cattle. Journal of Dairy Science. 98(3). 2033–2038. 14 indexed citations
17.
Hartwig, Sonja, Robin Wellmann, H. Hamann, & Jörn Bennewitz. (2013). Describtion of genetic variability of Vorderwald, Hinterwald and Limpurg cattle via pedigree analysis.. Züchtungskunde. 85(4). 270–288. 7 indexed citations
18.
Wellmann, Robin, et al.. (2013). Genomic selection using low density marker panels with application to a sire line in pigs. Genetics Selection Evolution. 45(1). 28–28. 51 indexed citations
19.
Wellmann, Robin & Jörn Bennewitz. (2011). Identification and characterization of hierarchical structures in dog breeding schemes, a novel method applied to the Norfolk Terrier1. Journal of Animal Science. 89(12). 3846–3858. 4 indexed citations
20.
Wellmann, Robin & Christine H. Müller. (2010). Depth notions for orthogonal regression. Journal of Multivariate Analysis. 101(10). 2358–2371. 10 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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