N. Krattenmacher

530 total citations
21 papers, 381 citations indexed

About

N. Krattenmacher is a scholar working on Genetics, Agronomy and Crop Science and Equine. According to data from OpenAlex, N. Krattenmacher has authored 21 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 14 papers in Agronomy and Crop Science and 4 papers in Equine. Recurrent topics in N. Krattenmacher's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Reproductive Physiology in Livestock (8 papers). N. Krattenmacher is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Reproductive Physiology in Livestock (8 papers). N. Krattenmacher collaborates with scholars based in Germany, Netherlands and Australia. N. Krattenmacher's co-authors include Georg Thaller, Jens Tetens, D.M. Spurlock, J.E. Pryce, K.A. Weigel, D.P. Berry, Y. de Haas, Peter Løvendahl, K.A. Macdonald and R.F. Veerkamp and has published in prestigious journals such as Journal of Dairy Science, Frontiers in Genetics and Physiological Genomics.

In The Last Decade

N. Krattenmacher

20 papers receiving 372 citations

Peers

N. Krattenmacher
Sajjad Toghiani United States
N. Krattenmacher
Citations per year, relative to N. Krattenmacher N. Krattenmacher (= 1×) peers Sajjad Toghiani

Countries citing papers authored by N. Krattenmacher

Since Specialization
Citations

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

Fields of papers citing papers by N. Krattenmacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Krattenmacher

This figure shows the co-authorship network connecting the top 25 collaborators of N. Krattenmacher. A scholar is included among the top collaborators of N. Krattenmacher 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 N. Krattenmacher. N. Krattenmacher 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.
Nolte, Wietje, K.F. Stock, E. Kalm, et al.. (2022). Replacement of microsatellite markers by imputed medium-density SNP arrays for parentage control in German warmblood horses. Journal of Applied Genetics. 63(4). 783–792. 5 indexed citations
2.
Krattenmacher, N., Jens Tetens, K.F. Stock, et al.. (2022). Genetic and genomic characterization followed by single-step genomic evaluation of withers height in German Warmblood horses. Journal of Applied Genetics. 63(2). 369–378. 4 indexed citations
3.
Nolte, Wietje, K.F. Stock, E. Kalm, et al.. (2022). 766. Equine parentage control: bridging the gap from a microsatellite to a SNP based approach. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 3155–3158.
4.
Becker, Doreen, et al.. (2021). Exploring the Origin and Relatedness of Maternal Lineages Through Analysis of Mitochondrial DNA in the Holstein Horse. Frontiers in Genetics. 12. 632500–632500. 6 indexed citations
5.
Thaller, Georg, et al.. (2020). The relationship between methane emission and daytime-dependent fecal archaeol concentration in lactating dairy cows fed two different diets. Archives animal breeding/Archiv für Tierzucht. 63(2). 211–218. 3 indexed citations
6.
Krattenmacher, N., et al.. (2020). Dealing with complexity of new phenotypes in modern dairy cattle breeding. Animal Frontiers. 10(2). 23–28. 10 indexed citations
7.
Krattenmacher, N., Georg Thaller, & Jens Tetens. (2019). Analysis of the genetic architecture of energy balance and its major determinants dry matter intake and energy-corrected milk yield in primiparous Holstein cows. Journal of Dairy Science. 102(4). 3241–3253. 30 indexed citations
8.
Schlicht, Kristina, N. Krattenmacher, Vincent Lugert, et al.. (2019). Estimation of genetic parameters for growth and carcass traits in turbot (<i>Scophthalmus maximus</i>). Archives animal breeding/Archiv für Tierzucht. 62(1). 265–273. 9 indexed citations
9.
Schlicht, Kristina, N. Krattenmacher, Vincent Lugert, et al.. (2018). Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness. Journal of Animal Breeding and Genetics. 135(4). 275–285. 3 indexed citations
10.
Görs, Solvig, Björn Kuhla, N. Krattenmacher, Georg Thaller, & Cornelia C. Metges. (2016). Technical note: Analytical refinements of the methane indicator archaeol in bovine feces, rumen fluid, and feedstuffs. Journal of Dairy Science. 99(11). 9313–9318. 4 indexed citations
11.
Krattenmacher, N., et al.. (2015). Methyl-coenzyme M reductase A as an indicator to estimate methane production from dairy cows. Journal of Dairy Science. 98(6). 4074–4083. 22 indexed citations
12.
Haas, Y. de, J.E. Pryce, M.P.L. Calus, et al.. (2015). Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia. Journal of Dairy Science. 98(9). 6522–6534. 55 indexed citations
13.
Tetens, Jens, Matthias S. Klein, Wolfram Gronwald, et al.. (2015). Polymorphisms within theAPOBRgene are highly associated with milk levels of prognostic ketosis biomarkers in dairy cows. Physiological Genomics. 47(4). 129–137. 18 indexed citations
14.
Krattenmacher, N.. (2014). The role of maternal lineages in horse breeding: Effects on conformation and performance traits. 3 indexed citations
15.
Hochstuhl, David, N. Krattenmacher, Jens Tetens, et al.. (2014). Short communication: Use of genomic and metabolic information as well as milk performance records for prediction of subclinical ketosis risk via artificial neural networks. Journal of Dairy Science. 98(1). 322–329. 25 indexed citations
16.
Berry, D.P., M.P. Coffey, J.E. Pryce, et al.. (2014). International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources. Journal of Dairy Science. 97(6). 3894–3905. 95 indexed citations
17.
Pryce, J.E., J. Spencer Johnston, Ben J. Hayes, et al.. (2014). Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations. Journal of Dairy Science. 97(3). 1799–1811. 29 indexed citations
18.
Veerkamp, R.F., J.E. Pryce, D.M. Spurlock, et al.. (2013). Selection on feed intake or feed efficiency: A position paper from gDMI breeding goal discussions. Socio-Environmental Systems Modeling. 2013(47). 15–22. 14 indexed citations
19.
Tetens, Jens, et al.. (2013). Effect of genetic merit for energy balance on luteal activity and subsequent reproductive performance in primiparous Holstein-Friesian cows. Journal of Dairy Science. 97(2). 1128–1138. 10 indexed citations
20.
Tetens, Jens, Georg Thaller, & N. Krattenmacher. (2013). Genetic and genomic dissection of dry matter intake at different lactation stages in primiparous Holstein cows. Journal of Dairy Science. 97(1). 520–531. 32 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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