Andrew Sharpe

23.4k total citations · 1 hit paper
111 papers, 5.8k citations indexed

About

Andrew Sharpe is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Andrew Sharpe has authored 111 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Plant Science, 63 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in Andrew Sharpe's work include Plant Disease Resistance and Genetics (25 papers), Chromosomal and Genetic Variations (25 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Andrew Sharpe is often cited by papers focused on Plant Disease Resistance and Genetics (25 papers), Chromosomal and Genetic Variations (25 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Andrew Sharpe collaborates with scholars based in Canada, United Kingdom and United States. Andrew Sharpe's co-authors include Derek J. Lydiate, Isobel A. P. Parkin, T. C. Osborn, Dwayne D. Hegedus, Martin Trick, Lewis Lukens, Sateesh Kagale, Wayne E. Clarke, Timothy R. Hughes and Jake Stout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Andrew Sharpe

109 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The pangenome of an agronomically important crop plant Brassica oleracea

2016 309 citations Isobel A. P. Parkin, Andrew Sharpe et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Sharpe Canada	38	4.7k	3.3k	848	630	274	111	5.8k
Biao Ma China	49	6.3k 1.3×	3.5k 1.0×	346 0.4×	255 0.4×	154 0.6×	110	7.7k
Pierre Broun United States	24	5.2k 1.1×	4.5k 1.4×	629 0.7×	755 1.2×	329 1.2×	31	6.9k
John P. Hamilton United States	40	4.1k 0.9×	3.0k 0.9×	812 1.0×	112 0.2×	254 0.9×	84	5.7k
Iain W. Wilson Australia	35	4.3k 0.9×	2.6k 0.8×	267 0.3×	142 0.2×	218 0.8×	95	5.4k
Katayoon Dehesh United States	47	3.9k 0.8×	3.8k 1.1×	121 0.1×	571 0.9×	223 0.8×	105	5.6k
Brieanne Vaillancourt United States	29	2.4k 0.5×	1.8k 0.5×	852 1.0×	82 0.1×	159 0.6×	55	3.5k
Alfons Gierl Germany	44	3.9k 0.8×	3.2k 1.0×	417 0.5×	75 0.1×	417 1.5×	82	5.4k
Donald R. McCarty United States	52	8.2k 1.8×	6.0k 1.8×	596 0.7×	198 0.3×	728 2.7×	108	10.4k
Ralph E. Dewey United States	31	2.0k 0.4×	2.2k 0.7×	221 0.3×	514 0.8×	111 0.4×	67	3.2k
Eleanore T. Wurtzel United States	32	1.5k 0.3×	3.2k 1.0×	550 0.6×	105 0.2×	202 0.7×	59	4.5k

Countries citing papers authored by Andrew Sharpe

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Sharpe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Sharpe

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

Ji, Yuanyuan, et al.. (2024). Understanding grain development in the Poaceae family by comparing conserved and distinctive pathways through omics studies in wheat and maize. Frontiers in Plant Science. 15. 1393140–1393140. 3 indexed citations

Fatema, Kaniz, Nur Uddin Mahmud, Dipali Rani Gupta, et al.. (2024). Enhancing rice growth and yield with weed endophytic bacteria Alcaligenes faecalis and Metabacillus indicus under reduced chemical fertilization. PLoS ONE. 19(5). e0296547–e0296547. 2 indexed citations

Islam, Tofazzal, et al.. (2023). Improvement of growth, yield and associated bacteriome of rice by the application of probiotic Paraburkholderia and Delftia. Frontiers in Microbiology. 14. 1212505–1212505. 21 indexed citations

Ubbens, Jordan, Mitchell J. Feldmann, Ian Stavness, & Andrew Sharpe. (2022). Quantitative evaluation of nonlinear methods for population structure visualization and inference. G3 Genes Genomes Genetics. 12(9). 2 indexed citations

Ruan, Yuefeng, Bianyun Yu, R. E. Knox, et al.. (2021). Conditional Mapping Identified Quantitative Trait Loci for Grain Protein Concentration Expressing Independently of Grain Yield in Canadian Durum Wheat. Frontiers in Plant Science. 12. 642955–642955. 9 indexed citations

Koh, ChuShin, Sateesh Kagale, Zhenling Lv, et al.. (2020). Assessing Diversity in theCamelinaGenus Provides Insights into the Genome Structure ofCamelina sativa. G3 Genes Genomes Genetics. 10(4). 1297–1308. 39 indexed citations

Neufeld, Eric, et al.. (2020). Using Simulated Annealing to Declutter Genome Visualizations.. The Florida AI Research Society. 201–204. 5 indexed citations

Bollina, Venkatesh, Stefanie Dukowic‐Schulze, Pankaj Bhowmik, et al.. (2018). MeioCapture: an efficient method for staging and isolation of meiocytes in the prophase I sub-stages of meiosis in wheat. BMC Plant Biology. 18(1). 293–293. 8 indexed citations

10.

Kumar, Sachin, R. E. Knox, Asheesh K. Singh, et al.. (2018). High-density genetic mapping of a major QTL for resistance to multiple races of loose smut in a tetraploid wheat cross. PLoS ONE. 13(2). e0192261–e0192261. 10 indexed citations

11.

Young, Lester, et al.. (2015). Genetics, structure, and prevalence of FP967 (CDC Triffid) T-DNA in flax. SpringerPlus. 4(1). 146–146. 10 indexed citations

12.

Brown, Allan, Gad G. Yousef, Kranthi K. Chebrolu, et al.. (2014). High-density single nucleotide polymorphism (SNP) array mapping in Brassica oleracea: identification of QTL associated with carotenoid variation in broccoli florets. Theoretical and Applied Genetics. 127(9). 2051–2064. 28 indexed citations

13.

Sharpe, Andrew, Larissa Ramsay, Lacey-Anne Sanderson, et al.. (2013). Ancient orphan crop joins modern era: gene-based SNP discovery and mapping in lentil. BMC Genomics. 14(1). 192–192. 94 indexed citations

14.

Gilchrist, Erin J., et al.. (2013). A Mutant Brassica napus (Canola) Population for the Identification of New Genetic Diversity via TILLING and Next Generation Sequencing. PLoS ONE. 8(12). e84303–e84303. 34 indexed citations

15.

Liao, Dengqun, Dustin Cram, Andrew Sharpe, & Frédéric Marsolais. (2013). Transcriptome Profiling Identifies Candidate Genes Associated with the Accumulation of Distinct Sulfur γ-Glutamyl Dipeptides in Phaseolus vulgaris and Vigna mungo Seeds. Frontiers in Plant Science. 4. 60–60. 24 indexed citations

16.

Yin, Fuqiang, Agnieszka Pająk, Ralph Chapman, et al.. (2011). Analysis of common bean expressed sequence tags identifies sulfur metabolic pathways active in seed and sulfur-rich proteins highly expressed in the absence of phaseolin and major lectins. BMC Genomics. 12(1). 268–268. 27 indexed citations

17.

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

18.

Birch, Helen L., George M. Buckley, Hazel J. Dyke, et al.. (2005). Novel 7-methoxy-6-oxazol-5-yl-2,3-dihydro-1H-quinazolin-4-ones as IMPDH inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(23). 5335–5339. 50 indexed citations

19.

Li, Rugang, L. Buchwaldt, Andrew Sharpe, et al.. (2004). Interaction of Sclerotinia sclerotiorum with a resistant Brassica napus cultivar: expressed sequence tag analysis identifies genes associated with fungal pathogenesis. Fungal Genetics and Biology. 41(8). 735–753. 67 indexed citations

20.

Parkin, Isobel A. P., Andrew Sharpe, & Derek J. Lydiate. (2003). Patterns of genome duplication within theBrassica napusgenome. Genome. 46(2). 291–303. 113 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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