Michael Pleau

2.4k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Michael Pleau is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Michael Pleau has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Insect Science and 2 papers in Plant Science. Recurrent topics in Michael Pleau's work include Insect Resistance and Genetics (9 papers), CRISPR and Genetic Engineering (5 papers) and Entomopathogenic Microorganisms in Pest Control (5 papers). Michael Pleau is often cited by papers focused on Insect Resistance and Genetics (9 papers), CRISPR and Genetic Engineering (5 papers) and Entomopathogenic Microorganisms in Pest Control (5 papers). Michael Pleau collaborates with scholars based in United States, Belgium and United Kingdom. Michael Pleau's co-authors include James A. Baum, Ty T. Vaughn, James K. Roberts, Pascale Feldmann, Thierry Bogaert, William Clinton, Gregory R. Heck, Geert Plaetinck, T.R.I. Munyikwa and Scott N. Johnson and has published in prestigious journals such as Nature Communications, Nature Biotechnology and PLoS ONE.

In The Last Decade

Michael Pleau

9 papers receiving 1.6k citations

Hit Papers

Control of coleopteran insect pests through RNA interference 2007 2026 2013 2019 2007 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pleau United States 8 1.5k 921 666 103 60 9 1.7k
William Clinton United States 7 1.7k 1.1× 986 1.1× 820 1.2× 128 1.2× 65 1.1× 7 1.9k
T.R.I. Munyikwa Netherlands 7 1.3k 0.9× 675 0.7× 728 1.1× 95 0.9× 54 0.9× 11 1.5k
Clauvis Nji Tizi Taning Belgium 24 1.3k 0.9× 968 1.1× 845 1.3× 150 1.5× 58 1.0× 57 1.8k
Xuewei Chen China 22 874 0.6× 713 0.8× 956 1.4× 181 1.8× 24 0.4× 41 1.5k
Yanhua Fan China 23 1.3k 0.8× 1.4k 1.5× 528 0.8× 83 0.8× 65 1.1× 52 1.8k
Kanakachari Mogilicherla India 20 1.0k 0.7× 542 0.6× 538 0.8× 73 0.7× 35 0.6× 43 1.4k
Hanneke Huvenne Belgium 8 1.1k 0.7× 668 0.7× 419 0.6× 143 1.4× 93 1.6× 10 1.3k
Ana M. Vélez United States 16 852 0.6× 567 0.6× 387 0.6× 61 0.6× 31 0.5× 34 958
Soo Dong Woo South Korea 20 742 0.5× 701 0.8× 281 0.4× 174 1.7× 93 1.6× 96 1.1k
Eric Espagne France 18 625 0.4× 286 0.3× 514 0.8× 75 0.7× 72 1.2× 24 1.0k

Countries citing papers authored by Michael Pleau

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pleau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pleau

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pleau. A scholar is included among the top collaborators of Michael Pleau 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 Michael Pleau. Michael Pleau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Horikoshi, Renato J, Patrick M Dourado, A. Evans, et al.. (2022). MON 95379 Bt maize as a new tool to manage sugarcane borer (Diatraea saccharalis) in South America. Pest Management Science. 78(8). 3456–3466. 5 indexed citations
3.
Jerga, Agoston, A.G. Evdokimov, Farhad Moshiri, et al.. (2018). Disabled insecticidal proteins: A novel tool to understand differences in insect receptor utilization. Insect Biochemistry and Molecular Biology. 105. 79–88. 16 indexed citations
4.
Khajuria, Chitvan, Sergey Ivashuta, Lex Flagel, et al.. (2018). Development and characterization of the first dsRNA-resistant insect population from western corn rootworm, Diabrotica virgifera virgifera LeConte. PLoS ONE. 13(5). e0197059–e0197059. 157 indexed citations
5.
Moar, William J., Chitvan Khajuria, Michael Pleau, et al.. (2017). Cry3Bb1-Resistant Western Corn Rootworm, Diabrotica virgifera virgifera (LeConte) Does Not Exhibit Cross-Resistance to DvSnf7 dsRNA. PLoS ONE. 12(1). e0169175–e0169175. 37 indexed citations
6.
Gowda, Anilkumar, T.J. Rydel, Andrew M. Wollacott, et al.. (2016). A transgenic approach for controlling Lygus in cotton. Nature Communications. 7(1). 12213–12213. 60 indexed citations
7.
Baum, James A., Thierry Bogaert, William Clinton, et al.. (2007). Control of coleopteran insect pests through RNA interference. Nature Biotechnology. 25(11). 1322–1326. 1302 indexed citations breakdown →
8.
Baum, James A., Mark Rupar, William P. Donovan, et al.. (2004). Binary Toxins from Bacillus thuringiensis Active against the Western Corn Rootworm, Diabrotica virgifera virgifera LeConte. Applied and Environmental Microbiology. 70(8). 4889–4898. 34 indexed citations
9.
Pleau, Michael, J. E. Huesing, Graham Head, & Dorothy Feir. (2002). Development of an artificial diet for the western corn rootworm. Entomologia Experimentalis et Applicata. 105(1). 1–11. 52 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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