Steve Whyard

4.2k total citations
51 papers, 2.4k citations indexed

About

Steve Whyard is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Steve Whyard has authored 51 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Plant Science and 17 papers in Insect Science. Recurrent topics in Steve Whyard's work include Insect Resistance and Genetics (21 papers), CRISPR and Genetic Engineering (19 papers) and Insect and Pesticide Research (9 papers). Steve Whyard is often cited by papers focused on Insect Resistance and Genetics (21 papers), CRISPR and Genetic Engineering (19 papers) and Insect and Pesticide Research (9 papers). Steve Whyard collaborates with scholars based in Canada, United States and Australia. Steve Whyard's co-authors include Aditi Singh, Sylvia Wong, Virginia K. Walker, Mark F. Belmonte, Guy Smagghe, Olivier Christiaens, Ana M. Vélez, Cassidy N. G. Erdelyan, A. E. R. Downe and Calen P. Ryan and has published in prestigious journals such as Nature, PLoS ONE and Scientific Reports.

In The Last Decade

Steve Whyard

51 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Whyard Canada 27 1.6k 1.1k 915 315 263 51 2.4k
Olivier Christiaens Belgium 31 3.0k 1.9× 2.0k 1.8× 1.4k 1.5× 283 0.9× 146 0.6× 66 3.8k
Hai‐Jun Xu China 24 1.0k 0.7× 1.3k 1.2× 536 0.6× 429 1.4× 140 0.5× 78 2.4k
Huipeng Pan China 33 1.5k 1.0× 2.2k 2.1× 1.5k 1.6× 198 0.6× 172 0.7× 89 3.1k
Yan‐Yuan Bao China 26 1.5k 1.0× 1.6k 1.5× 936 1.0× 366 1.2× 139 0.5× 49 2.7k
Omprakash Mittapalli United States 26 1.1k 0.7× 1.1k 1.0× 528 0.6× 267 0.8× 201 0.8× 53 1.8k
Jun‐Bo Luan China 24 700 0.4× 2.1k 2.0× 1.3k 1.4× 292 0.9× 142 0.5× 53 2.7k
Hai‐Jian Huang China 27 684 0.4× 1.3k 1.2× 861 0.9× 271 0.9× 62 0.2× 86 1.9k
Owain R. Edwards Australia 32 1.2k 0.8× 2.3k 2.2× 2.1k 2.3× 548 1.7× 432 1.6× 105 4.0k
В. В. Глупов Russia 28 969 0.6× 1.6k 1.5× 808 0.9× 225 0.7× 188 0.7× 123 2.3k
Marcé D. Lorenzen United States 25 1.7k 1.1× 1.1k 1.0× 575 0.6× 385 1.2× 90 0.3× 50 2.2k

Countries citing papers authored by Steve Whyard

Since Specialization
Citations

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

Fields of papers citing papers by Steve Whyard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Whyard

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Whyard. A scholar is included among the top collaborators of Steve Whyard 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 Steve Whyard. Steve Whyard 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.
Jurat‐Fuentes, Juan Luis, et al.. (2024). RNA Interference in Agriculture: Methods, Applications, and Governance. 5 indexed citations
2.
Walker, P.L., et al.. (2023). Control of white mold (Sclerotinia sclerotiorum) through plant-mediated RNA interference. Scientific Reports. 13(1). 6477–6477. 13 indexed citations
3.
Walker, P.L., Ian J. Girard, Michael G. Becker, et al.. (2022). Tissue-specific mRNA profiling of the Brassica napusSclerotinia sclerotiorum interaction uncovers novel regulators of plant immunity. Journal of Experimental Botany. 73(19). 6697–6710. 6 indexed citations
4.
Walker, P.L., Daniel Sullivan, Deirdre Khan, et al.. (2022). Host induced gene silencing of the Sclerotinia sclerotiorum ABHYDROLASE-3 gene reduces disease severity in Brassica napus. PLoS ONE. 17(8). e0261102–e0261102. 21 indexed citations
5.
Whyard, Steve, et al.. (2020). A novel paperclip double-stranded RNA structure demonstrates clathrin-independent uptake in the mosquito Aedes aegypti. Insect Biochemistry and Molecular Biology. 127. 103492–103492. 34 indexed citations
6.
Whyard, Steve, et al.. (2020). dsRNA Uptake in Plant Pests and Pathogens: Insights into RNAi-Based Insect and Fungal Control Technology. Plants. 9(12). 1780–1780. 78 indexed citations
7.
Sullivan, Daniel, et al.. (2020). Clathrin mediated endocytosis is involved in the uptake of exogenous double-stranded RNA in the white mold phytopathogen Sclerotinia sclerotiorum. Scientific Reports. 10(1). 12773–12773. 54 indexed citations
9.
Christiaens, Olivier, Steve Whyard, Ana M. Vélez, & Guy Smagghe. (2020). Double-Stranded RNA Technology to Control Insect Pests: Current Status and Challenges. Frontiers in Plant Science. 11. 451–451. 184 indexed citations
10.
Wijayaratne, L.K.W., Frank H. Arthur, & Steve Whyard. (2016). Methoprene and control of stored-product insects. Journal of Stored Products Research. 76. 161–169. 66 indexed citations
11.
Ryan, Calen P., J. Brownlie, & Steve Whyard. (2016). Hsp90 and physiological stress are linked to autonomous transposon mobility and heritable genetic change in nematodes. Genome Biology and Evolution. 8(12). evw284–evw284. 24 indexed citations
12.
Whyard, Steve, et al.. (2015). Silencing the buzz: a new approach to population suppression of mosquitoes by feeding larvae double-stranded RNAs. Parasites & Vectors. 8(1). 96–96. 109 indexed citations
13.
Whyard, Steve, et al.. (2014). Gene expression during ovarian differentiation in parasitic and non-parasitic lampreys: Implications for fecundity and life history types. General and Comparative Endocrinology. 208. 116–125. 7 indexed citations
14.
Singh, Aditi, Sylvia Wong, Calen P. Ryan, & Steve Whyard. (2013). Oral Delivery of Double-Stranded RNA in Larvae of the Yellow Fever Mosquito,Aedes aegypti:Implications for Pest Mosquito Control. Journal of insect science. 13(69). 1–18. 80 indexed citations
15.
Read, Scott A., et al.. (2008). Biolistics for high-throughput transformation and RNA interference inDrosophila melanogaster. Fly. 2(5). 247–254. 4 indexed citations
16.
Brownlie, J., Nicholas Johnson, & Steve Whyard. (2005). The Caenorhabditis briggsae genome contains active CbmaT1 and Tcb1 transposons. Molecular Genetics and Genomics. 273(1). 92–101. 5 indexed citations
17.
Brownlie, J. & Steve Whyard. (2004). CemaT1 is an active transposon within the Caenorhabditis elegans genome. Gene. 338(1). 55–64. 8 indexed citations
18.
Claudianos, Charles, J. Brownlie, Robyn J. Russell, John G. Oakeshott, & Steve Whyard. (2002). maT—A Clade of Transposons Intermediate Between mariner and Tc1. Molecular Biology and Evolution. 19(12). 2101–2109. 39 indexed citations
19.
Pinkerton, A., et al.. (1999). The Queensland fruit fly, Bactrocera tryoni , contains multiple members of the hAT family of transposable elements. Insect Molecular Biology. 8(4). 423–434. 14 indexed citations
20.
Whyard, Steve, Claus Tittiger, & Virginia K. Walker. (1994). Purification of triosephosphate isomerase and isolation of its gene from the mosquito Culex tarsalis. Insect Biochemistry and Molecular Biology. 24(10). 1017–1024. 4 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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