Stephen J. Robinson

7.2k total citations
39 papers, 1.4k citations indexed

About

Stephen J. Robinson is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Stephen J. Robinson has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 24 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Stephen J. Robinson's work include Plant Molecular Biology Research (10 papers), Chromosomal and Genetic Variations (9 papers) and Plant Disease Resistance and Genetics (8 papers). Stephen J. Robinson is often cited by papers focused on Plant Molecular Biology Research (10 papers), Chromosomal and Genetic Variations (9 papers) and Plant Disease Resistance and Genetics (8 papers). Stephen J. Robinson collaborates with scholars based in Canada, United States and United Kingdom. Stephen J. Robinson's co-authors include Isobel A. P. Parkin, Wayne E. Clarke, Andrew Sharpe, Matthew G. Links, Sateesh Kagale, John Nixon, Terry Huebert, Dwayne D. Hegedus, Erin E. Higgins and M. Hossein Borhan and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Stephen J. Robinson

37 papers receiving 1.3k citations

Peers

Stephen J. Robinson

BIOCH

GENET

EEBS

Wayne E. Clarke Canada

Robin K. Cameron Canada

Yuanzhong Jiang China

David Secco Australia

Tomohiko Kubo Japan

Víctor Llaca United States

Anindya Bandyopadhyay India

Sunil Kumar Singh India

Miho Ikeda Japan

Ryo Tabata Japan

Wayne E. Clarke Canada

Stephen J. Robinson

921 ×0.9

649 ×0.9

247 ×1.0

BIOCH

206 ×1.3

GENET

83 ×0.8

EEBS

Citations per year, relative to Stephen J. Robinson Stephen J. Robinson (= 1×) peers Wayne E. Clarke

Countries citing papers authored by Stephen J. Robinson

Since Specialization

Citations

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

Fields of papers citing papers by Stephen J. Robinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Robinson. 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 Stephen J. Robinson. The network helps show where Stephen J. Robinson may publish in the future.

Co-authorship network of co-authors of Stephen J. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Robinson. A scholar is included among the top collaborators of Stephen J. Robinson 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 Stephen J. Robinson. Stephen J. Robinson 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

Perumal, Sampath, Erin E. Higgins, Yogendra Khedikar, et al.. (2025). Harnessing genomic prediction in Brassica napus through a nested association mapping population. The Plant Genome. 18(4). e70123–e70123.

Khan, Deirdre, et al.. (2023). Genomic asymmetry of the Brassica napus seed: epigenetic contributions of DNA methylation and small RNAs to subgenome bias. The Plant Journal. 115(3). 690–708. 10 indexed citations

Perumal, Sampath, et al.. (2020). Characterization of B-Genome Specific High Copy hAT MITE Families in Brassica nigra Genome. Frontiers in Plant Science. 11. 1104–1104. 6 indexed citations

Helgason, Bobbi L., Charlotte E. Norris, Sally Vail, et al.. (2020). Core and Differentially Abundant Bacterial Taxa in the Rhizosphere of Field Grown Brassica napus Genotypes: Implications for Canola Breeding. Frontiers in Microbiology. 10. 3007–3007. 44 indexed citations

N’Diaye, Amidou, Brook Byrns, Aron T. Cory, et al.. (2020). Machine learning analyses of methylation profiles uncovers tissue‐specific gene expression patterns in wheat. The Plant Genome. 13(2). e20027–e20027. 19 indexed citations

Handa, Hirokazu, Hiroyuki Kanamori, Tsuyoshi Tanaka, et al.. (2018). Structural features of two major nucleolar organizer regions (NORs), Nor‐B1 and Nor‐B2, and chromosome‐specific rRNA gene expression in wheat. The Plant Journal. 96(6). 1148–1159. 14 indexed citations

Yu, Min, et al.. (2018). Changes in gene expression in Camelina sativa roots and vegetative tissues in response to salinity stress. Scientific Reports. 8(1). 9804–9804. 31 indexed citations

Seifbarghi, Shirin, M. Hossein Borhan, Yangdou Wei, et al.. (2017). Changes in the Sclerotinia sclerotiorum transcriptome during infection of Brassica napus. BMC Genomics. 18(1). 266–266. 104 indexed citations

Tanino, Karen, et al.. (2016). Stable Epigenetic Variants Selected from an Induced Hypomethylated Fragaria vesca Population. Frontiers in Plant Science. 7. 1768–1768. 26 indexed citations

10.

Rolfe, Stephen A., Stephen E. Strelkov, Matthew G. Links, et al.. (2016). The compact genome of the plant pathogen Plasmodiophora brassicae is adapted to intracellular interactions with host Brassica spp. BMC Genomics. 17(1). 272–272. 94 indexed citations

11.

Larkan, Nicholas J., Harsh Raman, Derek J. Lydiate, et al.. (2016). Multi-environment QTL studies suggest a role for cysteine-rich protein kinase genes in quantitative resistance to blackleg disease in Brassica napus. BMC Plant Biology. 16(1). 183–183. 47 indexed citations

12.

Kagale, Sateesh, ChuShin Koh, John Nixon, et al.. (2014). The emerging biofuel crop Camelina sativa retains a highly undifferentiated hexaploid genome structure. Nature Communications. 5(1). 3706–3706. 286 indexed citations

13.

Taheri, Ali, Stephen J. Robinson, Isobel A. P. Parkin, & Margaret Y. Gruber. (2012). Revised Selection Criteria for Candidate Restriction Enzymes in Genome Walking. PLoS ONE. 7(4). e35117–e35117. 9 indexed citations

14.

Robinson, Stephen J., Sheldon McKay, Wayne E. Clarke, et al.. (2009). An archived activation tagged population of Arabidopsis thalianato facilitate forward genetics approaches. BMC Plant Biology. 9(1). 101–101. 57 indexed citations

15.

Robinson, Stephen J. & Isobel A. P. Parkin. (2009). Bridging the Gene-to-Function Knowledge Gap Through Functional Genomics. Methods in molecular biology. 513. 153–173. 10 indexed citations

16.

Robinson, Stephen J. & Isobel A. P. Parkin. (2008). Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature. BMC Genomics. 9(1). 434–434. 38 indexed citations

17.

Robinson, Stephen J., et al.. (2007). Reaping the Benefits of SAGE. Humana Press eBooks. 406. 365–386. 4 indexed citations

18.

Zhou, Ning, Stephen J. Robinson, Terry Huebert, Nicholas J. Bate, & Isobel A. P. Parkin. (2007). Comparative genome organization reveals a single copy of CBF in the freezing tolerant crucifer Thlaspi arvense. Plant Molecular Biology. 65(5). 693–705. 8 indexed citations

19.

Gao, Mingjun, Dwayne D. Hegedus, Andrew Sharpe, et al.. (2006). Isolation and characterization of a GCN5-interacting protein from Arabidopsis thaliana. Planta. 225(6). 1367–1379. 14 indexed citations

20.

Harte, Naomi, Emmanuel Quévillon, Stephen J. Robinson, et al.. (2004). Public web-based services from the European Bioinformatics Institute. Nucleic Acids Research. 32(Web Server). W3–W9. 31 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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