Steven Yates

1.3k total citations
32 papers, 681 citations indexed

About

Steven Yates is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Steven Yates has authored 32 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 14 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Steven Yates's work include Wheat and Barley Genetics and Pathology (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant pathogens and resistance mechanisms (6 papers). Steven Yates is often cited by papers focused on Wheat and Barley Genetics and Pathology (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant pathogens and resistance mechanisms (6 papers). Steven Yates collaborates with scholars based in Switzerland, United Kingdom and Denmark. Steven Yates's co-authors include Bruno Studer, Achim Walter, Norbert Kirchgeßner, Tom Ruttink, Torben Asp, Chloé Manzanares, Matthew Hegarty, Leif Skøt, Martin Swain and Stephen Byrne and has published in prestigious journals such as Bioinformatics, PLoS ONE and New Phytologist.

In The Last Decade

Steven Yates

32 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Yates Switzerland 17 515 227 143 122 107 32 681
Heidi Rudi Norway 12 556 1.1× 167 0.7× 125 0.9× 82 0.7× 81 0.8× 15 722
Bryan Kindiger United States 15 579 1.1× 149 0.7× 119 0.8× 161 1.3× 160 1.5× 47 773
Mark P. Dobrowolski Australia 18 578 1.1× 280 1.2× 113 0.8× 208 1.7× 61 0.6× 40 812
M. K. Sledge United States 11 865 1.7× 224 1.0× 176 1.2× 82 0.7× 148 1.4× 15 971
Brandon Schlautman United States 19 485 0.9× 156 0.7× 136 1.0× 54 0.4× 118 1.1× 40 677
Ivan W. Mott United States 13 375 0.7× 115 0.5× 88 0.6× 152 1.2× 94 0.9× 35 589
Shui‐zhang Fei United States 13 500 1.0× 297 1.3× 55 0.4× 72 0.6× 88 0.8× 30 629
Michael D. Peel United States 16 477 0.9× 84 0.4× 82 0.6× 207 1.7× 258 2.4× 64 772
Scott E. Warnke United States 15 520 1.0× 99 0.4× 106 0.7× 104 0.9× 101 0.9× 47 643
Bochra A. Bahri United States 16 711 1.4× 267 1.2× 212 1.5× 64 0.5× 117 1.1× 56 831

Countries citing papers authored by Steven Yates

Since Specialization
Citations

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

Fields of papers citing papers by Steven Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Yates. A scholar is included among the top collaborators of Steven Yates 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 Steven Yates. Steven Yates 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.
Yates, Steven, et al.. (2024). Interannual Variation of Stomatal Traits Impacts the Environmental Responses of Apple Trees. Plant Cell & Environment. 48(3). 2478–2491. 2 indexed citations
4.
Roth, Morgane, María José Aranzana, Hélène Muranty, et al.. (2024). Integrative multi-environmental genomic prediction in apple. Horticulture Research. 12(2). uhae319–uhae319. 4 indexed citations
5.
Turchetta, Matteo, Daniel Ariza-Suárez, Steven Yates, et al.. (2023). ChromaX: a fast and scalable breeding program simulator. Bioinformatics. 39(12). 4 indexed citations
6.
Yates, Steven, et al.. (2023). Genome-wide association study of lipase and esterase in wholegrain wheat flour (Triticum aestivum L.). PLoS ONE. 18(3). e0282510–e0282510. 1 indexed citations
7.
Yates, Steven, Chloé Manzanares, Simon E. Bull, et al.. (2022). Callus Induction from Diverse Explants and Genotypes Enables Robust Transformation of Perennial Ryegrass (Lolium perenne L.). Plants. 11(15). 2054–2054. 6 indexed citations
8.
Manzanares, Chloé, Steven Yates, Daniel Thorogood, et al.. (2022). Fine-Mapping and Comparative Genomic Analysis Reveal the Gene Composition at the S and Z Self-incompatibility Loci in Grasses. Molecular Biology and Evolution. 40(1). 7 indexed citations
9.
Manzanares, Chloé, Steven Yates, Dario Copetti, et al.. (2021). Identification of Candidate Genes for Self-Compatibility in Perennial Ryegrass (Lolium perenne L.). Frontiers in Plant Science. 12. 707901–707901. 14 indexed citations
10.
Yates, Steven, et al.. (2020). Temperature response of wheat affects final height and the timing of stem elongation under field conditions. Journal of Experimental Botany. 72(2). 700–717. 41 indexed citations
11.
Studer, Bruno, et al.. (2020). Genome-Wide Association Study to Identify Candidate Loci for Biomass Formation Under Water Deficit in Perennial Ryegrass. Frontiers in Plant Science. 11. 570204–570204. 17 indexed citations
12.
Yates, Steven, Alexey Mikaberidze, Simon G. Krattinger, et al.. (2019). Precision Phenotyping Reveals Novel Loci for Quantitative Resistance to Septoria Tritici Blotch. Plant Phenomics. 2019. 3285904–3285904. 41 indexed citations
13.
Yates, Steven, Frank Liebisch, Norbert Kirchgeßner, et al.. (2019). Phenotyping a Dynamic Trait: Leaf Growth of Perennial Ryegrass Under Water Limiting Conditions. Frontiers in Plant Science. 10. 344–344. 20 indexed citations
14.
Byrne, Stephen, Steven Yates, Torben Asp, et al.. (2018). Pooled DNA sequencing to identify SNPs associated with a major QTL for bacterial wilt resistance in Italian ryegrass (Lolium multiflorum Lam.). Theoretical and Applied Genetics. 132(4). 947–958. 19 indexed citations
15.
Thorogood, Daniel, Steven Yates, Chloé Manzanares, et al.. (2017). A Novel Multivariate Approach to Phenotyping and Association Mapping of Multi-Locus Gametophytic Self-Incompatibility Reveals S, Z, and Other Loci in a Perennial Ryegrass (Poaceae) Population. Frontiers in Plant Science. 8. 1331–1331. 20 indexed citations
16.
Manzanares, Chloé, et al.. (2016). TILLING in forage grasses for gene discovery and breeding improvement. New Biotechnology. 33(5). 594–603. 13 indexed citations
17.
Kirchgeßner, Norbert, et al.. (2016). Leaf Length Tracker: a novel approach to analyse leaf elongation close to the thermal limit of growth in the field. Journal of Experimental Botany. 67(6). 1897–1906. 34 indexed citations
18.
Manzanares, Chloé, Susanne Barth, Daniel Thorogood, et al.. (2015). A Gene Encoding a DUF247 Domain Protein Cosegregates with the S Self-Incompatibility Locus in Perennial Ryegrass. Molecular Biology and Evolution. 33(4). 870–884. 56 indexed citations
19.
Yates, Steven, Martin Swain, Matthew Hegarty, et al.. (2014). De novo assembly of red clover transcriptome based on RNA-Seq data provides insight into drought response, gene discovery and marker identification. BMC Genomics. 15(1). 453–453. 116 indexed citations
20.
Lawson, Tracy, Phillip Davey, Steven Yates, et al.. (2013). C3 photosynthesis in the desert plant Rhazya stricta is fully functional at high temperatures and light intensities. New Phytologist. 201(3). 862–873. 40 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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