Mark C. Derbyshire

1.8k total citations
40 papers, 1.1k citations indexed

About

Mark C. Derbyshire is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Mark C. Derbyshire has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 12 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Mark C. Derbyshire's work include Plant pathogens and resistance mechanisms (21 papers), Plant-Microbe Interactions and Immunity (19 papers) and Plant Disease Resistance and Genetics (10 papers). Mark C. Derbyshire is often cited by papers focused on Plant pathogens and resistance mechanisms (21 papers), Plant-Microbe Interactions and Immunity (19 papers) and Plant Disease Resistance and Genetics (10 papers). Mark C. Derbyshire collaborates with scholars based in Australia, France and United Kingdom. Mark C. Derbyshire's co-authors include Matthew Denton‐Giles, Sylvain Raffaele, Toby E. Newman, Lars G. Kamphuis, Olivier Navaud, Malick Mbengué, K. E. Hammond‐Kosack, J. J. Rudd, David Edwards and Jacqueline Batley and has published in prestigious journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Mark C. Derbyshire

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark C. Derbyshire Australia 17 1.1k 279 272 128 83 40 1.1k
Liangsheng Xu China 20 969 0.9× 211 0.8× 382 1.4× 55 0.4× 94 1.1× 42 1.1k
Н. В. Мироненко Russia 14 592 0.6× 230 0.8× 164 0.6× 99 0.8× 39 0.5× 68 729
Sabine Banniza Canada 26 1.8k 1.7× 485 1.7× 275 1.0× 221 1.7× 182 2.2× 108 1.9k
J. P. Tewari Canada 19 1.3k 1.3× 294 1.1× 318 1.2× 291 2.3× 64 0.8× 90 1.5k
R.J. Zeyen United States 26 1.7k 1.6× 509 1.8× 483 1.8× 74 0.6× 41 0.5× 54 1.8k
Caroline S. Moffat Australia 17 1.1k 1.0× 278 1.0× 335 1.2× 45 0.4× 38 0.5× 40 1.2k
Paulo Cézar Ceresini Brazil 20 1.4k 1.3× 524 1.9× 193 0.7× 150 1.2× 22 0.3× 80 1.4k
Sean Walkowiak Canada 17 772 0.7× 306 1.1× 172 0.6× 49 0.4× 65 0.8× 48 859
João Leodato Nunes Maciel Brazil 16 974 0.9× 493 1.8× 212 0.8× 135 1.1× 30 0.4× 49 1.1k
Marie‐Laure Pilet‐Nayel France 24 1.7k 1.6× 184 0.7× 177 0.7× 92 0.7× 104 1.3× 41 1.8k

Countries citing papers authored by Mark C. Derbyshire

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Derbyshire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Derbyshire. 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 Mark C. Derbyshire. The network helps show where Mark C. Derbyshire may publish in the future.

Co-authorship network of co-authors of Mark C. Derbyshire

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. Derbyshire. A scholar is included among the top collaborators of Mark C. Derbyshire 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 Mark C. Derbyshire. Mark C. Derbyshire 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.
Derbyshire, Mark C., Toby E. Newman, Sarita Jane Bennett, et al.. (2025). Recombination and transposition drive genomic structural variation potentially impacting life history traits in a host-generalist fungal plant pathogen. BMC Biology. 23(1). 110–110.
2.
Derbyshire, Mark C., et al.. (2025). Learning the language of plant immunity: opportunities and challenges for AI-assisted modelling of fungal effector x host protein complexes. Computational and Structural Biotechnology Journal. 27. 2881–2889.
3.
Regmi, Roshan, et al.. (2023). Genome-wide identification of Sclerotinia sclerotiorum small RNAs and their endogenous targets. BMC Genomics. 24(1). 582–582. 1 indexed citations
4.
Newman, Toby E., et al.. (2023). The broad host range pathogen Sclerotinia sclerotiorum produces multiple effector proteins that induce host cell death intracellularly. Molecular Plant Pathology. 24(8). 866–881. 14 indexed citations
5.
Derbyshire, Mark C., Jacob I. Marsh, Soodeh Tirnaz, et al.. (2023). Diversity of fatty acid biosynthesis genes across the soybean pangenome. The Plant Genome. 16(2). e20334–e20334. 5 indexed citations
6.
Derbyshire, Mark C. & Sylvain Raffaele. (2023). Till death do us pair: Co-evolution of plant–necrotroph interactions. Current Opinion in Plant Biology. 76. 102457–102457. 16 indexed citations
7.
Derbyshire, Mark C., Anita A. Severn‐Ellis, Toby E. Newman, et al.. (2021). Modeling first order additive × additive epistasis improves accuracy of genomic prediction for sclerotinia stem rot resistance in canola. The Plant Genome. 14(2). e20088–e20088. 11 indexed citations
8.
Newman, Toby E., Matthew Denton‐Giles, Mark C. Derbyshire, et al.. (2021). Identification of Sources of Sclerotinia sclerotiorum Resistance in a Collection of Wild Cicer Germplasm. Plant Disease. 105(9). 2314–2324. 8 indexed citations
9.
10.
Regmi, Roshan, Toby E. Newman, Lars G. Kamphuis, & Mark C. Derbyshire. (2021). Identification of Brassica napus small RNAs responsive to infection by a necrotrophic pathogen. BMC Plant Biology. 21(1). 366–366. 13 indexed citations
11.
Derbyshire, Mark C.. (2020). Bioinformatic Detection of Positive Selection Pressure in Plant Pathogens: The Neutral Theory of Molecular Sequence Evolution in Action. Frontiers in Microbiology. 11. 644–644. 19 indexed citations
12.
Newman, Toby E. & Mark C. Derbyshire. (2020). The Evolutionary and Molecular Features of Broad Host-Range Necrotrophy in Plant Pathogenic Fungi. Frontiers in Plant Science. 11. 591733–591733. 40 indexed citations
13.
14.
Kamphuis, Lars G., et al.. (2018). Heat-dried sclerotia of Sclerotinia sclerotiorum myceliogenically germinate in water and are able to infect Brassica napus. Crop and Pasture Science. 69(8). 765–774. 3 indexed citations
15.
Denton‐Giles, Matthew, et al.. (2018). Partial stem resistance in Brassica napus to highly aggressive and genetically diverse Sclerotinia sclerotiorum isolates from Australia. Canadian Journal of Plant Pathology. 40(4). 551–561. 32 indexed citations
16.
Derbyshire, Mark C., Amir Mirzadi Gohari, Rahim Mehrabi, et al.. (2018). Phosphopantetheinyl transferase (Ppt)-mediated biosynthesis of lysine, but not siderophores or DHN melanin, is required for virulence of Zymoseptoria tritici on wheat. Scientific Reports. 8(1). 16536–16536. 14 indexed citations
17.
Badet, Thomas, Rémi Peyraud, Malick Mbengué, et al.. (2017). Codon optimization underpins generalist parasitism in fungi. eLife. 6. 31 indexed citations
18.
Derbyshire, Mark C. & Matthew Denton‐Giles. (2016). The control of sclerotinia stem rot on oilseed rape ( Brassica napus ): current practices and future opportunities. Plant Pathology. 65(6). 859–877. 146 indexed citations
19.
Derbyshire, Mark C., Louise V. Michaelson, Josie E. Parker, et al.. (2015). Analysis of cytochrome b5 reductase-mediated metabolism in the phytopathogenic fungus Zymoseptoria tritici reveals novel functionalities implicated in virulence. Fungal Genetics and Biology. 82. 69–84. 12 indexed citations
20.
Yang, Fen, Wanshun Li, Mark C. Derbyshire, et al.. (2015). Unraveling incompatibility between wheat and the fungal pathogen Zymoseptoria tritici through apoplastic proteomics. BMC Genomics. 16(1). 362–362. 36 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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