Morten Svendsen

1.1k total citations
19 papers, 824 citations indexed

About

Morten Svendsen is a scholar working on Genetics, Agronomy and Crop Science and Cancer Research. According to data from OpenAlex, Morten Svendsen has authored 19 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Agronomy and Crop Science and 5 papers in Cancer Research. Recurrent topics in Morten Svendsen's work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). Morten Svendsen is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). Morten Svendsen collaborates with scholars based in Norway, Denmark and Australia. Morten Svendsen's co-authors include Sigbjørn Lien, T.H.E. Meuwissen, Matthew Kent, Hanne Gro Olsen, John Woolliams, Tu Luan, Heidi Nilsen, Ben J. Hayes, Paul R. Berg and Knud Kragballe and has published in prestigious journals such as Scientific Reports, Genetics and Journal of Dairy Science.

In The Last Decade

Morten Svendsen

19 papers receiving 797 citations

Peers

Morten Svendsen

GENET

ACS

Pekka Uimari Finland

Christine A. Ford New Zealand

Dong Yin China

Dorota Lechniak Poland

Yonggang Liu China

Raj Duggavathi Canada

F. Ciotola Italy

Xiangpeng Yue China

Patrice Martin France

Xueyan Lin China

Pekka Uimari Finland

Morten Svendsen

1.1k ×1.9

GENET

118 ×0.5

ACS

209 ×1.2

489 ×2.8

140 ×1.0

Citations per year, relative to Morten Svendsen Morten Svendsen (= 1×) peers Pekka Uimari

Countries citing papers authored by Morten Svendsen

Since Specialization

Citations

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

Fields of papers citing papers by Morten Svendsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morten Svendsen

This figure shows the co-authorship network connecting the top 25 collaborators of Morten Svendsen. A scholar is included among the top collaborators of Morten Svendsen 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 Morten Svendsen. Morten Svendsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Olsen, Hanne Gro, Achim Köhler, Valeria Tafintseva, et al.. (2022). Genetic variants associated with two major bovine milk fatty acids offer opportunities to breed for altered milk fat composition. Genetics Selection Evolution. 54(1). 35–35. 6 indexed citations

Olsen, Hanne Gro, Valeria Tafintseva, Morten Svendsen, et al.. (2018). Unravelling genetic variation underlying de novo-synthesis of bovine milk fatty acids. Scientific Reports. 8(1). 2179–2179. 39 indexed citations

Olsen, Hanne Gro, Achim Köhler, Morten Svendsen, et al.. (2017). Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13. Genetics Selection Evolution. 49(1). 20–20. 21 indexed citations

Woolliams, John, et al.. (2017). Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model. Genetics Selection Evolution. 49(1). 63–63. 6 indexed citations

Olsen, Hanne Gro, Anna Lewandowska‐Sabat, Harald Grove, et al.. (2016). Fine mapping of a QTL on bovine chromosome 6 using imputed full sequence data suggests a key role for the group-specific component (GC) gene in clinical mastitis and milk production. Genetics Selection Evolution. 48(1). 79–79. 45 indexed citations

Svendsen, Morten, et al.. (2015). Information from later lactations improves accuracy of genomic predictions of fertility-related disorders in Norwegian Red. Journal of Dairy Science. 98(7). 4928–4933. 2 indexed citations

Meuwissen, T.H.E., Morten Svendsen, Trygve Solberg, & Jørgen Ødegård. (2015). Genomic predictions based on animal models using genotype imputation on a national scale in Norwegian Red cattle. Genetics Selection Evolution. 47(1). 79–79. 10 indexed citations

Svendsen, Morten, et al.. (2013). Genomic breeding values for claw health in Norwegian Red. Bulletin - International Bull Evaluation Service/Interbull bulletin. 138–141. 2 indexed citations

Sodeland, Marte, Harald Grove, Matthew Kent, et al.. (2011). Molecular characterization of a long range haplotype affecting protein yield and mastitis susceptibility in Norwegian Red cattle. BMC Genetics. 12(1). 70–70. 20 indexed citations

10.

Nilsen, Heidi, Hanne Gro Olsen, Ben J. Hayes, et al.. (2009). Casein haplotypes and their association with milk production traits in Norwegian Red cattle. Genetics Selection Evolution. 41(1). 24–24. 79 indexed citations

11.

Luan, Tu, John Woolliams, Sigbjørn Lien, et al.. (2009). The Accuracy of Genomic Selection in Norwegian Red Cattle Assessed by Cross-Validation. Genetics. 183(3). 1119–1126. 193 indexed citations

12.

Olsen, Hanne Gro, Heidi Nilsen, Ben J. Hayes, et al.. (2007). Genetic support for a quantitative trait nucleotide in the ABCG2 gene affecting milk composition of dairy cattle. BMC Genetics. 8(1). 32–32. 76 indexed citations

13.

Olsen, Hanne Gro, Sigbjørn Lien, Mathieu Gautier, et al.. (2004). Mapping of a Milk Production Quantitative Trait Locus to a 420-kb Region on Bovine Chromosome 6. Genetics. 169(1). 275–283. 101 indexed citations

14.

Westergaard, Majken, J. Henningsen, Karsten Kristiansen, et al.. (2003). Expression and Localization of Peroxisome Proliferator-Activated Receptors and Nuclear Factor κB in Normal and Lesional Psoriatic Skin. Journal of Investigative Dermatology. 121(5). 1104–1117. 97 indexed citations

15.

Sølvsten, Henrik, Morten Svendsen, Karsten Fogh, & Knud Kragballe. (1997). Upregulation of vitamin D receptor levels by 1,25(OH) 2 vitamin D 3 in cultured human keratinocytes. Archives of Dermatological Research. 289(6). 367–372. 26 indexed citations

16.

Svendsen, Morten, Guy Daneels, Johan Geysen, Lise Binderup, & Knud Kragballe. (1997). Proliferation and Differentiation of Cultured Human Keratinocytes is Modulated by 1,25(OH)₂D₃ and Synthetic Vitamin D₃ Analogues in a Cell Density‐, Calcium‐ and Serum‐Dependent Manner*. Pharmacology & Toxicology. 80(1). 49–56. 33 indexed citations

17.

Tveit, Borghild, Frode Lingaas, Morten Svendsen, & Ø. V. Sjaastad. (1992). Etiology of Acetonemia in Norwegian Cattle. 1. Effect of Ketogenic Silage, Season, Energy Level, and Genetic Factors. Journal of Dairy Science. 75(9). 2421–2432. 43 indexed citations

18.

Tveit, Borghild, Morten Svendsen, & Knut Hove. (1991). Heritability of Hypocalcemia at First Parturition in Norwegian Cattle: Genetic Correlations with Yield and Weight. Journal of Dairy Science. 74(10). 3561–3567. 22 indexed citations

19.

Standal, Nils, Borghild Tveit, & Morten Svendsen. (1987). Thyroid activity in relation to feed intake, growth rate and feed conversion in growing heifers. Domestic Animal Endocrinology. 4(3). 201–206. 3 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.

Explore authors with similar magnitude of impact