Leif Skøt

3.6k total citations
66 papers, 2.1k citations indexed

About

Leif Skøt is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Leif Skøt has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 17 papers in Agronomy and Crop Science and 14 papers in Genetics. Recurrent topics in Leif Skøt's work include Legume Nitrogen Fixing Symbiosis (21 papers), Wheat and Barley Genetics and Pathology (13 papers) and Plant pathogens and resistance mechanisms (13 papers). Leif Skøt is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (21 papers), Wheat and Barley Genetics and Pathology (13 papers) and Plant pathogens and resistance mechanisms (13 papers). Leif Skøt collaborates with scholars based in United Kingdom, France and Switzerland. Leif Skøt's co-authors include J. F. Witty, F. R. Minchin, Ian Armstead, A. J. GORDON, J. E. SHEEHY, Matthew Hegarty, Niels Peter Revsbech, R. Sanderson, Kirsten P. Skøt and R. S. Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Leif Skøt

66 papers receiving 2.0k citations

Peers

Leif Skøt

ACS

GENET

EEBS

Roland Kölliker Switzerland

Bernadette Julier France

Odd Arne Rognli Norway

Philippe Barré France

Mervyn O. Humphreys United Kingdom

Marie Jasieniuk United States

T. S. Cox United States

Allan K. Fritz United States

Steve Larson United States

James M. Chandler United States

Roland Kölliker Switzerland

Leif Skøt

1.5k ×0.9

507 ×0.9

ACS

445 ×1.1

GENET

361 ×1.2

525 ×2.2

EEBS

Citations per year, relative to Leif Skøt Leif Skøt (= 1×) peers Roland Kölliker

Countries citing papers authored by Leif Skøt

Since Specialization

Citations

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

Fields of papers citing papers by Leif Skøt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leif Skøt

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

All Works

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20 of 20 papers shown

Skøt, Leif, Christoph Grieder, J. Radović, et al.. (2024). Including marker x environment interactions improves genomic prediction in red clover (Trifolium pratense L.). Frontiers in Plant Science. 15. 1407609–1407609. 2 indexed citations

Ruttink, Tom, et al.. (2023). A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin. Frontiers in Plant Science. 14. 1189662–1189662. 12 indexed citations

Skøt, Leif, et al.. (2022). Phenotypic and Genotypic Characterization and Correlation Analysis of Pea (Pisum sativum L.) Diversity Panel. Plants. 11(10). 1321–1321. 20 indexed citations

Ruttink, Tom, Leif Skøt, Christoph Grieder, et al.. (2022). Phenotypic variation and quantitative trait loci for resistance to southern anthracnose and clover rot in red clover. Theoretical and Applied Genetics. 135(12). 4337–4349. 15 indexed citations

Barré, Philippe, Torben Asp, Stephen Byrne, et al.. (2022). Genomic Prediction of Complex Traits in Forage Plants Species: Perennial Grasses Case. Methods in molecular biology. 2467. 521–541. 6 indexed citations

Worthington, Margaret, Charlotte Jones, Narcís Fernández‐Fuentes, et al.. (2020). A new genome allows the identification of genes associated with natural variation in aluminium tolerance in Brachiaria grasses. Journal of Experimental Botany. 72(2). 302–319. 24 indexed citations

Ergon, Åshild, et al.. (2019). Allele Frequency Changes Provide Evidence for Selection and Identification of Candidate Loci for Survival in Red Clover (Trifolium pratense L.). Frontiers in Plant Science. 10. 718–718. 24 indexed citations

Thorogood, Daniel, et al.. (2016). Germplasm dynamics: the role of ecotypic diversity in shaping the patterns of genetic variation in Lolium perenne. Scientific Reports. 6(1). 22603–22603. 18 indexed citations

Mora-Ortiz, Marina, Martin Swain, Martin Vickers, et al.. (2016). De-novo transcriptome assembly for gene identification, analysis, annotation, and molecular marker discovery in Onobrychis viciifolia. BMC Genomics. 17(1). 756–756. 30 indexed citations

10.

Hegarty, Matthew, R. S. Yadav, Michael R. F. Lee, et al.. (2013). Genotyping by RAD sequencing enables mapping of fatty acid composition traits in perennial ryegrass (Lolium perenne (L.)). Plant Biotechnology Journal. 11(5). 572–581. 51 indexed citations

11.

Collins, R. P., B. E. Frankow‐Lindberg, Á. Helgadóttir, et al.. (2010). AFLP analysis of genetic differentiation in legume germplasm in contrasting environments. 51–53. 1 indexed citations

12.

Humphreys, M. W., et al.. (2005). A changing climate for grassland research. New Phytologist. 169(1). 9–26. 112 indexed citations

13.

Humphreys, Mervyn O., Lesley Turner, Leif Skøt, et al.. (2003). The use of genetic markers in grass breeding.. Czech Journal of Genetics and Plant Breeding. 39. 112–119. 5 indexed citations

14.

Thorogood, Daniel & Leif Skøt. (2003). Directed use of wild perennial ryegrass germplasm in turfgrass improvement programmes.. Czech Journal of Genetics and Plant Breeding. 39. 147–157. 2 indexed citations

15.

Armstead, Ian, Leif Skøt, Pedro Gómez, et al.. (2003). Synteny between a major heading-date QTL in perennial ryegrass (Lolium perenne L.) and the Hd3 heading-date locus in rice. Theoretical and Applied Genetics. 108(5). 822–828. 79 indexed citations

16.

Skøt, Leif, et al.. (2002). Molecular genecology of temperature response in Lolium perenne: 2. association of AFLP markers with ecogeography. Molecular Ecology. 11(9). 1865–1876. 40 indexed citations

17.

GORDON, A. J., et al.. (2002). Short‐term metabolic responses of soybean root nodules to nitrate. Journal of Experimental Botany. 53(368). 423–428. 30 indexed citations

18.

Webb, K. Judith, et al.. (2000). Mesorhizobium loti Increases Root-Specific Expression of a Calcium-Binding Protein Homologue Identified by Promoter Tagging in Lotus japonicus. Molecular Plant-Microbe Interactions. 13(6). 606–616. 48 indexed citations

19.

Skøt, Leif, et al.. (1997). Down-regulation of sucrose synthase expression and activity in transgenic hairy roots of Lotus japonicus. Symbiosis. 22(3). 241–254. 8 indexed citations

20.

Dooley, John J., L. R. Mytton, M. H. Dye, et al.. (1993). Phylogenetic grouping and identification of Rhizobium isolates on the basis of random amplified polymorphic DNA profiles. Canadian Journal of Microbiology. 39(7). 665–673. 28 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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