Wayne E. Clarke

8.2k total citations
19 papers, 1.2k citations indexed

About

Wayne E. Clarke is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Wayne E. Clarke has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Wayne E. Clarke's work include Genomics and Phylogenetic Studies (8 papers), Plant Disease Resistance and Genetics (5 papers) and Chromosomal and Genetic Variations (5 papers). Wayne E. Clarke is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Plant Disease Resistance and Genetics (5 papers) and Chromosomal and Genetic Variations (5 papers). Wayne E. Clarke collaborates with scholars based in Canada, United States and Germany. Wayne E. Clarke's co-authors include Isobel A. P. Parkin, Andrew Sharpe, Matthew G. Links, Sateesh Kagale, Stephen J. Robinson, Erin E. Higgins, John Nixon, Terry Huebert, Venkatesh Bollina and Christina Eynck and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Wayne E. Clarke

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne E. Clarke Canada 16 921 649 247 206 83 19 1.2k
Véronique Brunaud France 21 1.2k 1.3× 873 1.3× 53 0.2× 89 0.4× 49 0.6× 38 1.5k
Zhongchao Yin Singapore 23 1.9k 2.0× 674 1.0× 58 0.2× 167 0.8× 25 0.3× 41 2.1k
Vincent R. Pantalone United States 29 2.2k 2.4× 268 0.4× 242 1.0× 240 1.2× 43 0.5× 84 2.5k
Zhiquan Yang China 14 856 0.9× 757 1.2× 114 0.5× 219 1.1× 26 0.3× 27 1.1k
Jinfeng Zhao China 26 1.7k 1.9× 1.0k 1.6× 39 0.2× 231 1.1× 107 1.3× 55 2.0k
Jingjuan Yu China 26 1.5k 1.6× 1.0k 1.6× 25 0.1× 213 1.0× 66 0.8× 73 1.8k
Daoquan Xiang Canada 21 1.2k 1.3× 951 1.5× 75 0.3× 67 0.3× 46 0.6× 50 1.5k
Jiaqin Shi China 20 1.2k 1.3× 949 1.5× 389 1.6× 493 2.4× 26 0.3× 34 1.5k
Dayong Li China 26 2.1k 2.3× 1.3k 2.0× 30 0.1× 179 0.9× 59 0.7× 60 2.4k
Huilong Du China 15 1.2k 1.3× 665 1.0× 34 0.1× 414 2.0× 51 0.6× 31 1.5k

Countries citing papers authored by Wayne E. Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Wayne E. Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne E. Clarke

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne E. Clarke. A scholar is included among the top collaborators of Wayne E. Clarke 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 Wayne E. Clarke. Wayne E. Clarke 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.
Ebler, Jana, Peter Ebert, Wayne E. Clarke, et al.. (2022). Pangenome-based genome inference allows efficient and accurate genotyping across a wide spectrum of variant classes. Nature Genetics. 54(4). 518–525. 110 indexed citations
2.
Khedikar, Yogendra, Wayne E. Clarke, Haiyong Chen, et al.. (2020). Narrow genetic base shapes population structure and linkage disequilibrium in an industrial oilseed crop, Brassica carinata A. Braun. Scientific Reports. 10(1). 12629–12629. 15 indexed citations
3.
Corvelo, André, Wayne E. Clarke, Nicolas Robine, & Michael C. Zody. (2018). taxMaps: comprehensive and highly accurate taxonomic classification of short-read data in reasonable time. Genome Research. 28(5). 751–758. 19 indexed citations
4.
Higgins, Erin E., Wayne E. Clarke, Elaine C Howell, Susan J. Armstrong, & Isobel A. P. Parkin. (2018). Detectingde NovoHomoeologous Recombination Events in CultivatedBrassica napusUsing a Genome-Wide SNP Array. G3 Genes Genomes Genetics. 8(8). 2673–2683. 24 indexed citations
5.
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
6.
Kagale, Sateesh, John Nixon, Yogendra Khedikar, et al.. (2016). The developmental transcriptome atlas of the biofuel crop Camelina sativa. The Plant Journal. 88(5). 879–894. 59 indexed citations
7.
Singh, Ravinder, Venkatesh Bollina, Erin E. Higgins, et al.. (2015). Single-nucleotide polymorphism identification and genotyping in Camelina sativa. Molecular Breeding. 35(1). 35–35. 37 indexed citations
8.
Kagale, Sateesh, ChuShin Koh, Wayne E. Clarke, et al.. (2015). Analysis of Genotyping-by-Sequencing (GBS) Data. Methods in molecular biology. 1374. 269–284. 5 indexed citations
9.
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
10.
Kagale, Sateesh, Stephen J. Robinson, John Nixon, et al.. (2014). Polyploid Evolution of the Brassicaceae during the Cenozoic Era  . The Plant Cell. 26(7). 2777–2791. 145 indexed citations
11.
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
12.
Clarke, Wayne E., Isobel A. P. Parkin, Daniel J. Gerhardt, et al.. (2013). Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L. PLoS ONE. 8(12). e81992–e81992. 29 indexed citations
13.
Clarke, Wayne E., Isobel A. P. Parkin, Daniel J. Gerhardt, et al.. (2013). Correction: Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L. PLoS ONE. 8(12). 8 indexed citations
14.
Eynck, Christina, G. Séguin-Swartz, Wayne E. Clarke, & Isobel A. P. Parkin. (2012). Monolignol biosynthesis is associated with resistance to Sclerotinia sclerotiorum in Camelina sativa. Molecular Plant Pathology. 13(8). 887–899. 86 indexed citations
15.
Links, Matthew G., Eric B. Holub, Rays H. Y. Jiang, et al.. (2011). De novo sequence assembly of Albugo candida reveals a small genome relative to other biotrophic oomycetes. BMC Genomics. 12(1). 503–503. 90 indexed citations
16.
Clarke, Wayne E., C. Sidebottom, Isobel A. P. Parkin, & Andrew Sharpe. (2011). saskPrimer — An automated pipeline for design of intron-spanning PCR primers in non-model organisms. NPARC. 7. 173–177.
17.
18.
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
19.
Clarke, Wayne E., et al.. (2000). Microbial quality of water in rural communities of Trinidad. Revista Panamericana de Salud Pública. 8(3). 172–180. 37 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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