Toby E. Newman

693 total citations
19 papers, 451 citations indexed

About

Toby E. Newman is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Toby E. Newman has authored 19 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in Toby E. Newman's work include Plant pathogens and resistance mechanisms (11 papers), Plant-Microbe Interactions and Immunity (8 papers) and Agricultural pest management studies (6 papers). Toby E. Newman is often cited by papers focused on Plant pathogens and resistance mechanisms (11 papers), Plant-Microbe Interactions and Immunity (8 papers) and Agricultural pest management studies (6 papers). Toby E. Newman collaborates with scholars based in Australia, New Zealand and South Korea. Toby E. Newman's co-authors include Mark C. Derbyshire, Kee Hoon Sohn, Boštjan Kobe, Simon J. Williams, Lars G. Kamphuis, S. C. Anand, Cécile Segonzac, Jonathan D. G. Jones, Kyung Hee Paek and Panagiotis F. Sarris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, New Phytologist and PLoS Genetics.

In The Last Decade

Toby E. Newman

18 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toby E. Newman Australia 12 422 82 38 25 24 19 451
William Yajima Canada 10 282 0.7× 140 1.7× 58 1.5× 14 0.6× 23 1.0× 11 335
Erin Baggs United Kingdom 7 445 1.1× 109 1.3× 29 0.8× 18 0.7× 13 0.5× 7 511
Tom M. Raaymakers Netherlands 7 760 1.8× 134 1.6× 108 2.8× 33 1.3× 23 1.0× 12 796
Hannah Böhm Germany 7 867 2.1× 160 2.0× 118 3.1× 22 0.9× 24 1.0× 7 899
Thierry Halter France 10 717 1.7× 277 3.4× 29 0.8× 20 0.8× 9 0.4× 10 787
Stan Oome Netherlands 6 740 1.8× 114 1.4× 158 4.2× 19 0.8× 27 1.1× 6 760
Xiben Wang Canada 13 406 1.0× 138 1.7× 79 2.1× 6 0.2× 11 0.5× 23 430
Ana Slaughter Switzerland 4 455 1.1× 158 1.9× 51 1.3× 20 0.8× 35 1.5× 5 510
Pin‐Yao Huang Taiwan 9 598 1.4× 249 3.0× 48 1.3× 6 0.2× 17 0.7× 10 673
Diana Ortiz France 7 451 1.1× 159 1.9× 113 3.0× 17 0.7× 18 0.8× 9 496

Countries citing papers authored by Toby E. Newman

Since Specialization
Citations

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

Fields of papers citing papers by Toby E. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby E. Newman. 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 Toby E. Newman. The network helps show where Toby E. Newman may publish in the future.

Co-authorship network of co-authors of Toby E. Newman

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

All Works

19 of 19 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., Toby E. Newman, William J. W. Thomas, Jacqueline Batley, & David Edwards. (2024). The complex relationship between disease resistance and yield in crops. Plant Biotechnology Journal. 22(9). 2612–2623. 16 indexed citations
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.
Newman, Toby E., et al.. (2023). Genetic dissection of domestication traits in interspecific chickpea populations. The Plant Genome. 17(1). e20408–e20408. 2 indexed citations
7.
Derbyshire, Mark C., et al.. (2022). The evolutionary and molecular features of the broad‐host‐range plant pathogen Sclerotinia sclerotiorum. Molecular Plant Pathology. 23(8). 1075–1090. 64 indexed citations
8.
Chen, Kefei, et al.. (2022). Identification of Sclerotinia stem rot resistance quantitative trait loci in a chickpea (Cicer arietinum) recombinant inbred line population. Functional Plant Biology. 49(7). 634–646. 2 indexed citations
9.
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
10.
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
12.
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
13.
Newman, Toby E., et al.. (2020). Identification of Novel Sources of Resistance to Ascochyta Blight in a Collection of Wild Cicer Accessions. Phytopathology. 111(2). 369–379. 21 indexed citations
14.
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
15.
Newman, Toby E., Jungmin Lee, Simon J. Williams, et al.. (2018). Autoimmunity and effector recognition in Arabidopsis thaliana can be uncoupled by mutations in the RRS1‐R immune receptor. New Phytologist. 222(2). 954–965. 9 indexed citations
16.
Segonzac, Cécile, Toby E. Newman, Sera Choi, et al.. (2017). A Conserved EAR Motif Is Required for Avirulence and Stability of the Ralstonia solanacearum Effector PopP2 In Planta. Frontiers in Plant Science. 8. 14 indexed citations
17.
Zhang, Xiaoxiao, Maud Bernoux, Adam R. Bentham, et al.. (2017). Multiple functional self-association interfaces in plant TIR domains. Proceedings of the National Academy of Sciences. 114(10). E2046–E2052. 99 indexed citations
18.
Sohn, Kee Hoon, Cécile Segonzac, Ghanasyam Rallapalli, et al.. (2014). The Nuclear Immune Receptor RPS4 Is Required for RRS1SLH1-Dependent Constitutive Defense Activation in Arabidopsis thaliana. PLoS Genetics. 10(10). e1004655–e1004655. 87 indexed citations
19.
Anand, S. C., et al.. (2001). Registration of ‘Anand’ Soybean. Crop Science. 41(3). 919–920. 33 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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