Sven König

1.0k total citations
53 papers, 634 citations indexed

About

Sven König is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Sven König has authored 53 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 22 papers in Agronomy and Crop Science and 21 papers in Animal Science and Zoology. Recurrent topics in Sven König's work include Genetic and phenotypic traits in livestock (32 papers), Effects of Environmental Stressors on Livestock (16 papers) and Milk Quality and Mastitis in Dairy Cows (14 papers). Sven König is often cited by papers focused on Genetic and phenotypic traits in livestock (32 papers), Effects of Environmental Stressors on Livestock (16 papers) and Milk Quality and Mastitis in Dairy Cows (14 papers). Sven König collaborates with scholars based in Germany, India and Benin. Sven König's co-authors include Kerstin Brügemann, Tong Yin, Katharina May, Carsten Scheper, Christina Strübe, Luc Hippolyte Dossa, Raghavendra Bhatta, M.V. Silpa, Veerasamy Sejian and Eva Schlecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sven König

53 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven König Germany 15 332 233 200 167 65 53 634
Olivardo Facó Brazil 16 508 1.5× 344 1.5× 236 1.2× 72 0.4× 60 0.9× 62 703
Pauline Martin France 15 653 2.0× 484 2.1× 231 1.2× 102 0.6× 49 0.8× 42 887
B. Venus Australia 14 317 1.0× 208 0.9× 285 1.4× 265 1.6× 34 0.5× 26 725
A. A. do Egito Brazil 17 636 1.9× 214 0.9× 250 1.3× 74 0.4× 37 0.6× 64 882
José Manuel León Jurado Spain 18 508 1.5× 241 1.0× 376 1.9× 80 0.5× 36 0.6× 91 884
Matthew L Spangler United States 16 667 2.0× 292 1.3× 215 1.1× 105 0.6× 67 1.0× 96 999
E. Ugarte Spain 20 707 2.1× 540 2.3× 268 1.3× 120 0.7× 67 1.0× 45 990
A. Carta Italy 16 693 2.1× 403 1.7× 208 1.0× 117 0.7× 43 0.7× 65 1.1k
Hanpeng Luo China 15 290 0.9× 222 1.0× 293 1.5× 88 0.5× 39 0.6× 49 676
Fidalis D. N. Mujibi Kenya 15 470 1.4× 349 1.5× 215 1.1× 41 0.2× 48 0.7× 26 703

Countries citing papers authored by Sven König

Since Specialization
Citations

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

Fields of papers citing papers by Sven König

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven König

This figure shows the co-authorship network connecting the top 25 collaborators of Sven König. A scholar is included among the top collaborators of Sven 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 Sven König. Sven 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.
2.
Yin, Tong, et al.. (2025). Heat stress induces specific methylation, transcriptomic and metabolic pattern in dairy cows and their female progeny. Scientific Reports. 15(1). 17021–17021. 2 indexed citations
3.
Silpa, M.V., Tong Yin, MS Alam, et al.. (2023). Unraveling the Genomic Association for Milk Production Traits and Signatures of Selection of Cattle in a Harsh Tropical Environment. Biology. 12(12). 1483–1483. 3 indexed citations
4.
Silpa, M.V., MS Alam, Tong Yin, et al.. (2023). Selective Sweeps in Cattle Genomes in Response to the Influence of Urbanization and Environmental Contamination. Genes. 14(11). 2083–2083. 1 indexed citations
5.
Brügemann, Kerstin, et al.. (2023). Frequency and Characterisation of Anomalies and Fractures of the Caudal Spine in Sheep with Undocked Tails. Animals. 13(8). 1419–1419. 5 indexed citations
6.
Wagner, P.E., Kerstin Brügemann, Tong Yin, Petra Engel, & Sven König. (2023). Inferring Causalities of Environmental and Genetic Factors for Differential Somatic Cell Count and Mastitis Pathogens in Dairy Cows Using Structural Equation Modelling. Genes. 14(11). 2102–2102. 2 indexed citations
7.
Brügemann, Kerstin, et al.. (2023). A Pilot Study on Across-Generation Impacts of Maternal Heat Stress on Blood Metabolites of Female Holstein Dairy Calves. Metabolites. 13(4). 494–494. 3 indexed citations
8.
Korkuć, Paula, et al.. (2023). Unmapped short reads from whole-genome sequencing indicate potential infectious pathogens in German Black Pied cattle. Veterinary Research. 54(1). 95–95. 2 indexed citations
9.
Korkuć, Paula, Deike Hesse, Danny Arends, et al.. (2023). Whole-Genome Sequencing Data Reveal New Loci Affecting Milk Production in German Black Pied Cattle (DSN). Genes. 14(3). 581–581. 9 indexed citations
10.
Sejian, Veerasamy, M.V. Silpa, C. Devaraj, et al.. (2021). Heat Stress and Goat Welfare: Adaptation and Production Considerations. Animals. 11(4). 1021–1021. 55 indexed citations
11.
Weimann, C., et al.. (2021). Genetic diversity and population structure in divergent German cattle selection lines on the basis of milk protein polymorphisms. Archives animal breeding/Archiv für Tierzucht. 64(1). 91–102. 5 indexed citations
12.
Korkuć, Paula, Danny Arends, Katharina May, et al.. (2021). Design and performance of a bovine 200 k SNP chip developed for endangered German Black Pied cattle (DSN). BMC Genomics. 22(1). 905–905. 15 indexed citations
13.
14.
Yin, Tong, et al.. (2020). Phenotypic Dairy Cattle Trait Expressions in Dependency of Social-Ecological Characteristics along Rural–Urban Gradients. Sustainability. 12(21). 9021–9021. 16 indexed citations
15.
Capitan, Aurélien, Carsten Scheper, Sven König, et al.. (2020). Are scurs in heterozygous polled (Pp) cattle a complex quantitative trait?. Genetics Selection Evolution. 52(1). 6–6. 13 indexed citations
16.
Yin, Tong, Carsten Scheper, Tomasz Sakowski, et al.. (2019). Multi-breed genome-wide association studies across countries for electronically recorded behavior traits in local dual-purpose cows. PLoS ONE. 14(10). e0221973–e0221973. 9 indexed citations
17.
Korkuć, Paula, Danny Arends, Carsten Scheper, et al.. (2018). 1-step versus 2-step imputation: a case study in German Black Pied cattle. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 282. 2 indexed citations
18.
May, Katharina, Kerstin Brügemann, Sven König, & Christina Strübe. (2018). The effect of patent Dictyocaulus viviparus (re)infections on individual milk yield and milk quality in pastured dairy cows and correlation with clinical signs. Parasites & Vectors. 11(1). 24–24. 21 indexed citations
19.
20.
Schwarz, Daniel R., Ulrike S. Diesterbeck, Sven König, et al.. (2011). Microscopic differential cell counts in milk for the evaluation of inflammatory reactions in clinically healthy and subclinically infected bovine mammary glands. Journal of Dairy Research. 78(4). 448–455. 51 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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