Robert A. Syme

1.9k total citations
20 papers, 835 citations indexed

About

Robert A. Syme is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Robert A. Syme has authored 20 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Robert A. Syme's work include Plant Disease Resistance and Genetics (10 papers), Wheat and Barley Genetics and Pathology (7 papers) and Plant Pathogens and Fungal Diseases (7 papers). Robert A. Syme is often cited by papers focused on Plant Disease Resistance and Genetics (10 papers), Wheat and Barley Genetics and Pathology (7 papers) and Plant Pathogens and Fungal Diseases (7 papers). Robert A. Syme collaborates with scholars based in Australia, United States and Switzerland. Robert A. Syme's co-authors include Richard P. Oliver, Timothy L. Friesen, James K. Hane, Kar‐Chun Tan, Caroline S. Moffat, Simon R. Ellwood, Steven S. Xu, Darcy Jones, Justin D. Faris and Bruce A. McDonald and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genome biology.

In The Last Decade

Robert A. Syme

20 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert A. Syme Australia 14 713 297 196 50 32 20 835
Ruey‐Fen Liou Taiwan 17 447 0.6× 156 0.5× 328 1.7× 32 0.6× 83 2.6× 37 739
Wang-Qiu Deng China 14 327 0.5× 141 0.5× 216 1.1× 161 3.2× 287 9.0× 62 567
Joachim Kurth Germany 17 1.7k 2.3× 176 0.6× 666 3.4× 35 0.7× 8 0.3× 21 1.9k
Shuai Yang China 13 265 0.4× 85 0.3× 197 1.0× 45 0.9× 26 0.8× 38 438
Kasia Rybak Australia 17 627 0.9× 204 0.7× 116 0.6× 31 0.6× 37 1.2× 22 693
Andrea Bimbó Netherlands 12 710 1.0× 162 0.5× 678 3.5× 152 3.0× 15 0.5× 14 984
Taketo Ashizawa Japan 15 776 1.1× 232 0.8× 284 1.4× 77 1.5× 18 0.6× 35 818
Lidija Berke Netherlands 13 637 0.9× 63 0.2× 557 2.8× 87 1.7× 20 0.6× 20 917
Amitabh Mohanty United States 10 859 1.2× 121 0.4× 727 3.7× 20 0.4× 9 0.3× 12 1.1k
Daniel Veith Germany 5 272 0.4× 145 0.5× 385 2.0× 29 0.6× 105 3.3× 6 485

Countries citing papers authored by Robert A. Syme

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Syme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert A. Syme

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Syme. A scholar is included among the top collaborators of Robert A. Syme 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 Robert A. Syme. Robert A. Syme 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.
Syme, Robert A., Herdina, J.A. Davidson, et al.. (2022). The novel avirulence effector AlAvr1 from Ascochyta lentis mediates host cultivar specificity of ascochyta blight in lentil. Molecular Plant Pathology. 23(7). 984–996. 8 indexed citations
2.
Lee, Robert C., et al.. (2022). Phenotypic and Genotypic Diversity of Ascochyta fabae Populations in Southern Australia. Frontiers in Plant Science. 13. 918211–918211. 3 indexed citations
3.
Inserra, Antonio, Antonella Campanale, David Cheishvili, et al.. (2022). Modulation of DNA methylation and protein expression in the prefrontal cortex by repeated administration of D-lysergic acid diethylamide (LSD): Impact on neurotropic, neurotrophic, and neuroplasticity signaling. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 119. 110594–110594. 24 indexed citations
4.
Lee, Robert C., et al.. (2021). Reference genome assembly for AustralianAscochyta lentisisolate Al4. G3 Genes Genomes Genetics. 11(2). 8 indexed citations
5.
6.
Moolhuijzen, Paula, Mariano Jordi Muria‐Gonzalez, Robert A. Syme, et al.. (2020). Expansion and Conservation of Biosynthetic Gene Clusters in Pathogenic Pyrenophora spp.. Toxins. 12(4). 242–242. 13 indexed citations
7.
Kim, Wonyong, Judith Lichtenzveig, Robert A. Syme, et al.. (2019). Identification of a Polyketide Synthase Gene Responsible for Ascochitine Biosynthesis in Ascochyta fabae and Its Abrogation in Sister Taxa. mSphere. 4(5). 6 indexed citations
8.
Williams, Angela, et al.. (2018). Accessories Make the Outfit: Accessory Chromosomes and Other Dispensable DNA Regions in Plant-Pathogenic Fungi. Molecular Plant-Microbe Interactions. 31(8). 779–788. 78 indexed citations
9.
Syme, Robert A., Anke Martin, Nathan A. Wyatt, et al.. (2018). Transposable Element Genomic Fissuring in Pyrenophora teres Is Associated With Genome Expansion and Dynamics of Host–Pathogen Genetic Interactions. Frontiers in Genetics. 9. 130–130. 38 indexed citations
10.
Jones, Darcy, et al.. (2018). Bioinformatic prediction of plant–pathogenicity effector proteins of fungi. Current Opinion in Microbiology. 46. 43–49. 58 indexed citations
11.
Syme, Robert A., Kar‐Chun Tan, Kasia Rybak, et al.. (2018). Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution. Genome Biology and Evolution. 10(9). 2443–2457. 29 indexed citations
12.
Casey, Tammy M., Javed Masood Khan, Scott Bringans, et al.. (2016). Analysis of Reproducibility of Proteome Coverage and Quantitation Using Isobaric Mass Tags (iTRAQ and TMT). Journal of Proteome Research. 16(2). 384–392. 28 indexed citations
13.
14.
Syme, Robert A., Kar‐Chun Tan, James K. Hane, et al.. (2016). Comprehensive Annotation of the Parastagonospora nodorum Reference Genome Using Next-Generation Genomics, Transcriptomics and Proteogenomics. PLoS ONE. 11(2). e0147221–e0147221. 32 indexed citations
15.
Gao, Yang, Justin D. Faris, Zhaohui Liu, et al.. (2015). Identification and Characterization of the SnTox6-Snn6Interaction in theParastagonospora nodorum–Wheat Pathosystem. Molecular Plant-Microbe Interactions. 28(5). 615–625. 70 indexed citations
16.
Syme, Robert A., James K. Hane, Timothy L. Friesen, & Richard P. Oliver. (2013). Resequencing and Comparative Genomics of Stagonospora nodorum: Sectional Gene Absence and Effector Discovery. G3 Genes Genomes Genetics. 3(6). 959–969. 40 indexed citations
17.
Liu, Zhaohui, Zengcui Zhang, Justin D. Faris, et al.. (2012). The Cysteine Rich Necrotrophic Effector SnTox1 Produced by Stagonospora nodorum Triggers Susceptibility of Wheat Lines Harboring Snn1. PLoS Pathogens. 8(1). e1002467–e1002467. 193 indexed citations
18.
Ellwood, Simon R., Robert A. Syme, Caroline S. Moffat, & Richard P. Oliver. (2012). Evolution of three Pyrenophora cereal pathogens: Recent divergence, speciation and evolution of non-coding DNA. Fungal Genetics and Biology. 49(10). 825–829. 39 indexed citations
19.
Bonnal, Raoul J.P., Jan Aerts, George Githinji, et al.. (2012). Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics. Bioinformatics. 28(7). 1035–1037. 20 indexed citations
20.
Ellwood, Simon R., Zhaohui Liu, Robert A. Syme, et al.. (2010). A first genome assembly of the barley fungal pathogen Pyrenophora teres f. teres. Genome biology. 11(11). R109–R109. 75 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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