Lesley A. Boyd

3.4k total citations
70 papers, 2.3k citations indexed

About

Lesley A. Boyd is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Lesley A. Boyd has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 19 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Lesley A. Boyd's work include Wheat and Barley Genetics and Pathology (41 papers), Plant Disease Resistance and Genetics (21 papers) and Plant-Microbe Interactions and Immunity (12 papers). Lesley A. Boyd is often cited by papers focused on Wheat and Barley Genetics and Pathology (41 papers), Plant Disease Resistance and Genetics (21 papers) and Plant-Microbe Interactions and Immunity (12 papers). Lesley A. Boyd collaborates with scholars based in United Kingdom, Philippines and South Africa. Lesley A. Boyd's co-authors include Philip H. Smith, Christopher J. Ridout, Donal M. O’Sullivan, R. MacCormack, Jan E. Leach, Hei Leung, Simon Berry, R. Prins, Graham McGrann and Nelzo C. Ereful and has published in prestigious journals such as SHILAP Revista de lepidopterología, New Phytologist and The Plant Journal.

In The Last Decade

Lesley A. Boyd

69 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lesley A. Boyd United Kingdom 30 2.0k 732 395 179 144 70 2.3k
Nisha Singh India 24 2.0k 1.0× 524 0.7× 540 1.4× 52 0.3× 47 0.3× 77 2.3k
Nabila Yahiaoui France 31 2.8k 1.4× 1.0k 1.4× 282 0.7× 110 0.6× 152 1.1× 53 3.2k
Elma M. J. Salentijn Netherlands 24 1.5k 0.8× 810 1.1× 171 0.4× 59 0.3× 224 1.6× 46 2.5k
Lipu Du China 23 1.5k 0.7× 857 1.2× 137 0.3× 75 0.4× 151 1.0× 69 1.7k
Taiji Kawakatsu Japan 26 1.7k 0.8× 1.2k 1.6× 328 0.8× 206 1.2× 406 2.8× 49 2.3k
María J. Giménez Spain 20 945 0.5× 585 0.8× 192 0.5× 34 0.2× 163 1.1× 33 1.5k
Jan G. Schaart Netherlands 27 1.6k 0.8× 1.5k 2.0× 87 0.2× 206 1.2× 300 2.1× 61 2.3k
David R. Holding United States 20 1.0k 0.5× 561 0.8× 318 0.8× 54 0.3× 83 0.6× 41 1.4k
Burkhard Steuernagel United Kingdom 28 2.6k 1.3× 1.0k 1.4× 557 1.4× 69 0.4× 61 0.4× 61 3.0k
Parveen Chhuneja India 29 2.5k 1.2× 446 0.6× 697 1.8× 56 0.3× 23 0.2× 149 2.7k

Countries citing papers authored by Lesley A. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Lesley A. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lesley A. Boyd. 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 Lesley A. Boyd. The network helps show where Lesley A. Boyd may publish in the future.

Co-authorship network of co-authors of Lesley A. Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of Lesley A. Boyd. A scholar is included among the top collaborators of Lesley A. Boyd 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 Lesley A. Boyd. Lesley A. Boyd 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
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Mbanjo, Edwige Gaby Nkouaya, Huw Jones, Gopal Misra, et al.. (2023). Unravelling marker trait associations linking nutritional value with pigmentation in rice seed. The Plant Genome. 16(4). e20360–e20360. 5 indexed citations
3.
Tiozon, Rhowell N., et al.. (2022). Mathematical modeling to predict rice's phenolic and mineral content through multispectral imaging. SHILAP Revista de lepidopterología. 1. 100141–100141. 10 indexed citations
4.
Hassan, Mohamed H., et al.. (2022). Multi-Layer Biosensor for Pre-Symptomatic Detection of Puccinia strifformis, the Causal Agent of Yellow Rust. Biosensors. 12(10). 829–829. 7 indexed citations
5.
Brotman, Yariv, Saurabh Badoni, Gopal Misra, et al.. (2021). The genetics underlying metabolic signatures in a brown rice diversity panel and their vital role in human nutrition. The Plant Journal. 106(2). 507–525. 28 indexed citations
6.
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Gilissen, L. J. W., Jan G. Schaart, Fiona Leigh, et al.. (2020). CRISPR/Cas9 Gene Editing of Gluten in Wheat to Reduce Gluten Content and Exposure—Reviewing Methods to Screen for Coeliac Safety. Frontiers in Nutrition. 7. 51–51. 51 indexed citations
8.
Rosa, Sílvia Barcellos, Camila Martini Zanella, Colin W. Hiebert, et al.. (2019). Genetic Characterization of Leaf and Stripe Rust Resistance in the Brazilian Wheat Cultivar Toropi. Phytopathology. 109(10). 1760–1768. 12 indexed citations
9.
Mbanjo, Edwige Gaby Nkouaya, et al.. (2019). Exploring the genetic diversity within traditional Philippine pigmented Rice. Rice. 12(1). 27–27. 15 indexed citations
10.
Schaart, Jan G., Lesley A. Boyd, James Cockram, et al.. (2019). Outlook for coeliac disease patients: towards bread wheat with hypoimmunogenic gluten by gene editing of α- and γ-gliadin gene families. BMC Plant Biology. 19(1). 333–333. 63 indexed citations
11.
Zanella, Camila Martini, José Antônio Martinelli, Márcia Soares Chaves, et al.. (2018). Quantitative Trait Loci Conferring Leaf Rust Resistance in Hexaploid Wheat. Phytopathology. 108(12). 1344–1354. 49 indexed citations
12.
Stefanato, Francesca L., Sajid Rehman, Graham McGrann, et al.. (2017). A comparative analysis of nonhost resistance across the two Triticeae crop species wheat and barley. BMC Plant Biology. 17(1). 232–232. 18 indexed citations
13.
Gilissen, L. J. W., Lesley A. Boyd, James Cockram, et al.. (2017). Food processing and breeding strategies for coeliac-safe and healthy wheat products. Food Research International. 110. 11–21. 42 indexed citations
14.
Prins, R., et al.. (2016). Stem Rust Resistance in a Geographically Diverse Collection of Spring Wheat Lines Collected from Across Africa. Frontiers in Plant Science. 7. 973–973. 29 indexed citations
15.
Gordon, Anna, et al.. (2015). The identification of QTL controlling ergot sclerotia size in hexaploid wheat implicates a role for the Rht dwarfing alleles. Theoretical and Applied Genetics. 128(12). 2447–2460. 17 indexed citations
16.
Tufan, Hale, Graham McGrann, R. MacCormack, & Lesley A. Boyd. (2012). TaWIR1 contributes to post‐penetration resistance to Magnaporthe oryzae , but not Blumeria graminis f. sp. tritici , in wheat. Molecular Plant Pathology. 13(7). 653–665. 6 indexed citations
17.
Pretorius, Z. A., et al.. (2012). Identification of adult plant resistance to stripe rust in the wheat cultivar Cappelle-Desprez. Theoretical and Applied Genetics. 125(1). 109–120. 82 indexed citations
18.
Bozkurt, Tolga O., Graham McGrann, R. MacCormack, Lesley A. Boyd, & Mahinur S. Akkaya. (2010). Cellular and transcriptional responses of wheat during compatible and incompatible race‐specific interactions with Puccinia striiformis f. sp. tritici. Molecular Plant Pathology. 11(5). 625–640. 44 indexed citations
19.
Tufan, Hale, Graham McGrann, Andreas Magusin, et al.. (2009). Wheat blast: histopathology and transcriptome reprogramming in response to adapted and nonadapted Magnaporthe isolates. New Phytologist. 184(2). 473–484. 51 indexed citations
20.
Boyd, Lesley A., et al.. (2000). Adult plant resistance to Puccinia striiformis f. sp. tritici in wheat mutants.. Acta Phytopathologica et Entomologica Hungarica. 35. 105–111. 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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