S. König

2.4k total citations
67 papers, 1.8k citations indexed

About

S. König is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, S. König has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Genetics, 39 papers in Agronomy and Crop Science and 30 papers in Animal Science and Zoology. Recurrent topics in S. König's work include Genetic and phenotypic traits in livestock (59 papers), Reproductive Physiology in Livestock (30 papers) and Effects of Environmental Stressors on Livestock (25 papers). S. König is often cited by papers focused on Genetic and phenotypic traits in livestock (59 papers), Reproductive Physiology in Livestock (30 papers) and Effects of Environmental Stressors on Livestock (25 papers). S. König collaborates with scholars based in Germany, Belgium and Canada. S. König's co-authors include Uta König von Borstel, E. Gernand, Henner Simianer, Kerstin Brügemann, Tong Yin, Katharina May, A. Willam, Matthias Gauly, Daniel Gianola and Saeid Naderi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

S. König

65 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. König Germany 26 1.3k 865 839 414 187 67 1.8k
M. J. Carabaño Spain 24 1.1k 0.9× 640 0.7× 809 1.0× 244 0.6× 264 1.4× 84 1.7k
M. Haile‐Mariam Australia 25 1.6k 1.3× 909 1.1× 691 0.8× 217 0.5× 308 1.6× 79 2.0k
Stefano Biffani Italy 19 789 0.6× 592 0.7× 702 0.8× 230 0.6× 153 0.8× 107 1.5k
C.D. Dechow United States 25 1.2k 0.9× 1.2k 1.4× 585 0.7× 465 1.1× 134 0.7× 75 1.9k
Raphael Mrode United Kingdom 26 2.0k 1.6× 1.2k 1.3× 736 0.9× 344 0.8× 487 2.6× 149 2.8k
Christine F. Baes Canada 25 1.9k 1.5× 1.0k 1.2× 843 1.0× 310 0.7× 364 1.9× 160 2.6k
G. de Jong Netherlands 27 2.0k 1.6× 1.4k 1.7× 870 1.0× 597 1.4× 311 1.7× 110 2.7k
Hugo H. Montaldo Mexico 23 934 0.7× 565 0.7× 537 0.6× 174 0.4× 99 0.5× 91 1.5k
S. K. DeNise United States 21 802 0.6× 487 0.6× 370 0.4× 485 1.2× 166 0.9× 47 1.5k
G.J. Nieuwhof United Kingdom 22 820 0.6× 577 0.7× 400 0.5× 363 0.9× 149 0.8× 37 1.3k

Countries citing papers authored by S. König

Since Specialization
Citations

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

Fields of papers citing papers by S. König

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. König

This figure shows the co-authorship network connecting the top 25 collaborators of S. König. A scholar is included among the top collaborators of S. König 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 S. König. S. König 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.
Ojango, Julie M.K., et al.. (2025). Lamb survival and ewe longevity in a crossbreeding program between indigenous and exotic sheep in semi-arid lands. Small Ruminant Research. 249. 107520–107520.
2.
Yin, Tong, et al.. (2023). Effects of prenatal heat stress on birth weight and birth weight genetic parameters in German Holstein calves. SHILAP Revista de lepidopterología. 4(6). 469–473. 2 indexed citations
3.
Bohlouli, Mehdi, et al.. (2022). Genome-wide associations for heat stress response suggest potential candidate genes underlying milk fatty acid composition in dairy cattle. Journal of Dairy Science. 105(4). 3323–3340. 22 indexed citations
4.
5.
Bohlouli, Mehdi, Tong Yin, Hedi Hammami, Nicolas Gengler, & S. König. (2021). Climate sensitivity of milk production traits and milk fatty acids in genotyped Holstein dairy cows. Journal of Dairy Science. 104(6). 6847–6860. 19 indexed citations
6.
7.
Klein, Susanne, Carsten Scheper, Katharina May, & S. König. (2020). Genetic and nongenetic profiling of milk β-hydroxybutyrate and acetone and their associations with ketosis in Holstein cows. Journal of Dairy Science. 103(11). 10332–10346. 25 indexed citations
8.
9.
Gernand, E. & S. König. (2014). Random regression test-day model for clinical mastitis: Genetic parameters, model comparison, and correlations with indicator traits. Journal of Dairy Science. 97(6). 3953–3963. 15 indexed citations
10.
König, S., et al.. (2011). Selection of Young Sires in Genomic Breeding Programs. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1 indexed citations
11.
König, S., et al.. (2011). Examination of longevity in dressage horses - a comparison between sport horses in New Zealand and Hanoverians in Germany.. Züchtungskunde. 83(1). 68–77. 14 indexed citations
12.
Pimentel, E.C.G., et al.. (2011). Controlling inbreeding and maximizing genetic gain using semi-definite programming with pedigree-based and genomic relationships. Journal of Dairy Science. 94(12). 6143–6152. 27 indexed citations
13.
Wensch-Dorendorf, Monika, et al.. (2011). Optimal strategies for the use of genomic selection in dairy cattle breeding programs. Journal of Dairy Science. 94(8). 4140–4151. 16 indexed citations
14.
Schwarz, Daniel R., Ulrike S. Diesterbeck, Klaus Failing, et al.. (2010). Somatic cell counts and bacteriological status in quarter foremilk samples of cows in Hesse, Germany—A longitudinal study. Journal of Dairy Science. 93(12). 5716–5728. 77 indexed citations
15.
König, S., et al.. (2009). Maximising genetic gain by restricted inbreeding in Hanoverian breeding programme for show jumpers.. Züchtungskunde. 81(1). 51–56. 5 indexed citations
16.
König, S., et al.. (2009). Application of selection index calculations to determine selection strategies in genomic breeding programs. Journal of Dairy Science. 92(10). 5292–5303. 35 indexed citations
17.
König, S., YM Chang, Uta König von Borstel, Daniel Gianola, & Henner Simianer. (2008). Genetic and Phenotypic Relationships Among Milk Urea Nitrogen, Fertility, and Milk Yield in Holstein Cows. Journal of Dairy Science. 91(11). 4372–4382. 55 indexed citations
18.
König, S., Henner Simianer, & A. Willam. (2008). Economic evaluation of genomic breeding programs. Journal of Dairy Science. 92(1). 382–391. 111 indexed citations
19.
König, S., Xiao‐Lin Wu, Daniel Gianola, B. Heringstad, & H. Simianer. (2007). Exploration of Relationships Between Claw Disorders and Milk Yield in Holstein Cows via Recursive Linear and Threshold Models. Journal of Dairy Science. 91(1). 395–406. 50 indexed citations
20.
König, S., Helge Täubert, Henner Simianer, & H.H. Swalve. (2002). The Interbull audit project part I - Results of an international survey. Bulletin - International Bull Evaluation Service/Interbull bulletin. 161. 1 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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