F. Teuscher

1.4k total citations
31 papers, 1.1k citations indexed

About

F. Teuscher is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, F. Teuscher has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 9 papers in Animal Science and Zoology and 8 papers in Plant Science. Recurrent topics in F. Teuscher's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Meat and Animal Product Quality (6 papers). F. Teuscher is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Meat and Animal Product Quality (6 papers). F. Teuscher collaborates with scholars based in Germany, Canada and Austria. F. Teuscher's co-authors include J. Wegner, K. Ender, Elke Albrecht, V. Guiard, H.‐J. Papstein, I. Fiedler, O. Bellmann, Dieter Rasch, William M. Muir and Piter Bijma and has published in prestigious journals such as Genetics, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

F. Teuscher

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Teuscher Germany 16 482 429 228 171 150 31 1.1k
M. Wicke Germany 27 1.3k 2.6× 231 0.5× 360 1.6× 92 0.5× 158 1.1× 87 1.9k
Raluca G. Mateescu United States 23 662 1.4× 730 1.7× 233 1.0× 270 1.6× 114 0.8× 91 1.5k
Marta Gil Spain 23 997 2.1× 224 0.5× 247 1.1× 58 0.3× 89 0.6× 54 1.3k
Brigitte Picard France 20 844 1.8× 247 0.6× 495 2.2× 132 0.8× 176 1.2× 38 1.3k
O. I. Southwood United Kingdom 13 760 1.6× 808 1.9× 315 1.4× 111 0.6× 130 0.9× 29 1.5k
Junwu Ma China 27 641 1.3× 1.2k 2.8× 498 2.2× 69 0.4× 160 1.1× 70 1.8k
Philippe Bergé France 19 918 1.9× 170 0.4× 199 0.9× 137 0.8× 67 0.4× 34 1.1k
Emiliano Lasagna Italy 21 582 1.2× 736 1.7× 300 1.3× 151 0.9× 58 0.4× 93 1.3k
Gilles Renand France 23 833 1.7× 931 2.2× 356 1.6× 605 3.5× 81 0.5× 87 1.7k
J. Casellas Spain 24 486 1.0× 1.2k 2.8× 251 1.1× 399 2.3× 91 0.6× 136 1.7k

Countries citing papers authored by F. Teuscher

Since Specialization
Citations

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

Fields of papers citing papers by F. Teuscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Teuscher

This figure shows the co-authorship network connecting the top 25 collaborators of F. Teuscher. A scholar is included among the top collaborators of F. Teuscher 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 F. Teuscher. F. Teuscher 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.
Hampel, Alexander, et al.. (2018). Estimation of Recombination Rate and Maternal Linkage Disequilibrium in Half-Sibs. Frontiers in Genetics. 9. 186–186. 6 indexed citations
2.
Reichelt, Manuela, et al.. (2016). Mendelian sampling covariability of marker effects and genetic values. Genetics Selection Evolution. 48(1). 36–36. 26 indexed citations
3.
Teuscher, F., et al.. (2012). Optimum multistage genomic selection in dairy cattle. Journal of Dairy Science. 95(4). 2097–2107. 4 indexed citations
4.
Wittenburg, Dörte, V. Guiard, F. Teuscher, & N. Reinsch. (2010). Analysis of birth weight variability in pigs with respect to liveborn and total born offspring. Journal of Animal Breeding and Genetics. 128(1). 35–43. 12 indexed citations
5.
Wittenburg, Dörte, F. Teuscher, & N. Reinsch. (2010). Statistical tools to detect genetic variation for a sex dimorphism in piglet birth weight1. Journal of Animal Science. 89(3). 622–629. 8 indexed citations
6.
Gotoh, Takafumi, Elke Albrecht, F. Teuscher, et al.. (2009). Differences in muscle and fat accretion in Japanese Black and European cattle. Meat Science. 82(3). 300–308. 115 indexed citations
7.
Wittenburg, Dörte, V. Guiard, F. Teuscher, & N. Reinsch. (2008). Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs. animal. 2(11). 1559–1568. 14 indexed citations
8.
Rasch, Dieter, F. Teuscher, & V. Guiard. (2007). How robust are tests for two independent samples?. Journal of Statistical Planning and Inference. 137(8). 2706–2720. 62 indexed citations
9.
Albrecht, Elke, F. Teuscher, K. Ender, & J. Wegner. (2006). Growth- and breed-related changes of marbling characteristics in cattle1. Journal of Animal Science. 84(5). 1067–1075. 82 indexed citations
10.
Albrecht, Elke, F. Teuscher, K. Ender, & J. Wegner. (2006). Growth- and breed-related changes of muscle bundle structure in cattle1. Journal of Animal Science. 84(11). 2959–2964. 51 indexed citations
11.
Sorensen, Bess, C. Kühn, F. Teuscher, et al.. (2006). Diacylglycerol acyltransferase (DGAT) activity in relation to muscle fat content and <i>DGAT1</i> genotype in two different breeds of <i>Bos Taurus</i> (short communication). Archives animal breeding/Archiv für Tierzucht. 49(4). 351–356. 7 indexed citations
12.
Teuscher, F. & Karl W. Broman. (2006). Haplotype Probabilities for Multiple-Strain Recombinant Inbred Lines. Genetics. 175(3). 1267–1274. 20 indexed citations
13.
Teuscher, F., V. Guiard, Paul Rudolph, & Gudrun A. Brockmann. (2005). The Map Expansion Obtained With Recombinant Inbred Strains and Intermated Recombinant Inbred Populations for Finite Generation Designs. Genetics. 170(2). 875–879. 20 indexed citations
14.
Faucitano, L., et al.. (2004). Application of computer image analysis to measure pork marbling characteristics. Meat Science. 69(3). 537–543. 71 indexed citations
15.
Aulchenko, Yurii S., F. Teuscher, H.H. Swalve, & V. Guiard. (2002). Comparison of methods used for recovering the line origin of alleles in a cross between outbred lines. Genetics Research. 79(1). 75–83. 1 indexed citations
16.
Wegner, J., et al.. (2002). Comparing mRNA levels of genes encoding leptin, leptin receptor, and lipoprotein lipase between dairy and beef cattle. Domestic Animal Endocrinology. 23(3). 371–381. 53 indexed citations
17.
Teuscher, F., Gudrun A. Brockmann, Paul Rudolph, H.H. Swalve, & V. Guiard. (2000). Models for Chromatid Interference With Applications to Recombination Data. Genetics. 156(3). 1449–1460. 9 indexed citations
18.
Wegner, J., Elke Albrecht, I. Fiedler, et al.. (2000). Growth- and breed-related changes of muscle fiber characteristics in cattle.. Journal of Animal Science. 78(6). 1485–1485. 206 indexed citations
19.
Schönhusen, U., J. Voigt, F. Kreienbring, & F. Teuscher. (1995). Evaluation of different markers for determination of the microbial nitrogen flow into the duodenum of dairy cows. Archiv für Tierernaehrung. 48(1-2). 147–158. 8 indexed citations
20.
Teuscher, F. & V. Guiard. (1995). Sharp inequalities between skewness and kurtosis for unimodal distributions. Statistics & Probability Letters. 22(3). 257–260. 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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