Rosemary Bayles

2.3k total citations
32 papers, 1.5k citations indexed

About

Rosemary Bayles is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Cell Biology. According to data from OpenAlex, Rosemary Bayles has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Cell Biology. Recurrent topics in Rosemary Bayles's work include Wheat and Barley Genetics and Pathology (24 papers), Mycotoxins in Agriculture and Food (9 papers) and Plant Disease Resistance and Genetics (9 papers). Rosemary Bayles is often cited by papers focused on Wheat and Barley Genetics and Pathology (24 papers), Mycotoxins in Agriculture and Food (9 papers) and Plant Disease Resistance and Genetics (9 papers). Rosemary Bayles collaborates with scholars based in United Kingdom, France and Germany. Rosemary Bayles's co-authors include Kerstin Flath, Mogens S. Hovmøller, C. de Vallavieille‐Pope, Cristóbal Uauy, Amelia Hubbard, Sophien Kamoun, Diane G. O. Saunders, N. Gosman, Philip Jennings and P. Nicholson and has published in prestigious journals such as Nature Communications, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Rosemary Bayles

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosemary Bayles United Kingdom	16	1.4k	436	283	204	130	32	1.5k
Kerstin Flath Germany	18	1.1k 0.8×	283 0.6×	164 0.6×	194 1.0×	139 1.1×	51	1.2k
M. Winzeler Switzerland	25	2.2k 1.5×	444 1.0×	193 0.7×	574 2.8×	313 2.4×	42	2.3k
A. Yahyaoui Syria	14	972 0.7×	216 0.5×	102 0.4×	156 0.8×	138 1.1×	47	1.0k
Catherine Feuillet France	16	1.5k 1.1×	507 1.2×	80 0.3×	451 2.2×	124 1.0×	19	1.7k
H. J. Dubin United States	19	976 0.7×	179 0.4×	256 0.9×	86 0.4×	213 1.6×	41	1.1k
Andrew Steed United Kingdom	18	1.4k 1.0×	168 0.4×	545 1.9×	368 1.8×	156 1.2×	32	1.5k
Y. Anikster Israel	18	812 0.6×	496 1.1×	182 0.6×	100 0.5×	42 0.3×	52	900
Outi Manninen Finland	17	820 0.6×	224 0.5×	76 0.3×	286 1.4×	55 0.4×	39	904
Robert Loughman Australia	19	938 0.6×	173 0.4×	185 0.7×	163 0.8×	116 0.9×	46	975
Jerzy H. Czembor Poland	14	785 0.5×	117 0.3×	87 0.3×	126 0.6×	88 0.7×	74	837

Countries citing papers authored by Rosemary Bayles

Since Specialization

Citations

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

Fields of papers citing papers by Rosemary Bayles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemary Bayles

This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary Bayles. A scholar is included among the top collaborators of Rosemary Bayles 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 Rosemary Bayles. Rosemary Bayles 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

Bettgenhaeuser, Jan, Inmaculada Hernández‐Pinzón, Phon Green, et al.. (2021). The barley immune receptor Mla recognizes multiple pathogens and contributes to host range dynamics. Nature Communications. 12(1). 6915–6915. 36 indexed citations

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

Bayles, Rosemary, et al.. (2014). UK Cereal Pathogen Virulence Survey Yellow rust of wheat - 2013 Annual Report. 2 indexed citations

Hubbard, Amelia, Melanie Craze, Sarah Bowden, et al.. (2014). Yr36Confers Partial Resistance at Temperatures Below 18°C to U.K. Isolates ofPuccinia striiformis. Phytopathology. 104(8). 871–878. 11 indexed citations

Jørgensen, Lise Nistrup, Mogens S. Hovmøller, Jens Grønbech Hansen, et al.. (2014). IPM Strategies and Their Dilemmas Including an Introduction to www.eurowheat.org. Journal of Integrative Agriculture. 13(2). 265–281. 112 indexed citations

Cantù, Dario, Dan MacLean, Rosemary Bayles, et al.. (2013). Genome analyses of the wheat yellow (stripe) rust pathogen Puccinia striiformis f. sp. triticireveal polymorphic and haustorial expressed secreted proteins as candidate effectors. BMC Genomics. 14(1). 270–270. 166 indexed citations

Korzun, Viktor, et al.. (2012). Allele Mining in Barley Genetic Resources Reveals Genes of Race-Non-Specific Powdery Mildew Resistance. Frontiers in Plant Science. 2. 113–113. 19 indexed citations

Kolmer, J. A., Alena Hanzalová, Henriette Goyeau, Rosemary Bayles, & Alexey Morgounov. (2012). Genetic differentiation of the wheat leaf rust fungus Puccinia triticina in Europe. Plant Pathology. 62(1). 21–31. 51 indexed citations

Jørgensen, Lise Nistrup, Mogens S. Hovmøller, Jens Grønbech Hansen, et al.. (2010). EuroWheat.org – A Support to Integrated Disease Management in Wheat. Outlooks on Pest Management. 21(4). 173–176. 9 indexed citations

10.

Bayles, Rosemary, et al.. (2009). Towards a sustainable whole-farm approach to the control of Ergot.. 7 indexed citations

11.

Srinivasachary, Srinivasachary, N. Gosman, Andrew Steed, et al.. (2008). Semi-dwarfing Rht-B1 and Rht-D1 loci of wheat differ significantly in their influence on resistance to Fusarium head blight. Theoretical and Applied Genetics. 118(4). 695–702. 124 indexed citations

12.

Bayles, Rosemary, Donal M. O’Sullivan, V. Lea, et al.. (2007). Controlling Soil-borne cereal mosaic virus in the UK by developing resistant wheat cultivars.. 10 indexed citations

13.

Bayles, Rosemary, et al.. (2000). Shifts in sensitivity of Puccinia striiformis to DMI fungicides in the UK.. Acta Phytopathologica et Entomologica Hungarica. 35. 381–382. 6 indexed citations

14.

Bayles, Rosemary. (2000). The response of spring barley varieties to strobilurin fungicides.. 1 indexed citations

15.

Bayles, Rosemary, et al.. (1997). The UK Cereal Pathogen Virulence Survey.. 103–117. 17 indexed citations

16.

Bayles, Rosemary. (1991). Research note: varietal resistance as a factor contributing to the increased importance of Septoria tritici Rob. and Desm. in the UK wheat crop.. 4(3). 177–183. 19 indexed citations

17.

Bayles, Rosemary. (1989). Breeding strategies for resistance to the rusts of wheat. Crop Protection. 8(4). 293–294. 215 indexed citations

18.

PARRY, D. WYNN, et al.. (1985). Resistance of winter wheat varieties to ear blight caused by Fusarium avenaceum and F. culmorum. 6 indexed citations

19.

Bayles, Rosemary, et al.. (1982). Effect of fungicide treatment on yield of winter wheat and spring barley cultivars. Plant Pathology. 31(1). 31–37. 24 indexed citations

20.

Bayles, Rosemary, et al.. (1979). The incidence of Rhynchosporium secalis and Septoria spp. in cereal cultivar trials in England and Wales, 1957-1976.. 15(1). 67–75. 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.

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