William Clinton

2.6k total citations · 1 hit paper
7 papers, 1.9k citations indexed

About

William Clinton is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, William Clinton has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Insect Science and 3 papers in Plant Science. Recurrent topics in William Clinton's work include Insect Resistance and Genetics (6 papers), Entomopathogenic Microorganisms in Pest Control (4 papers) and CRISPR and Genetic Engineering (2 papers). William Clinton is often cited by papers focused on Insect Resistance and Genetics (6 papers), Entomopathogenic Microorganisms in Pest Control (4 papers) and CRISPR and Genetic Engineering (2 papers). William Clinton collaborates with scholars based in United States and Belgium. William Clinton's co-authors include Gregory R. Heck, James A. Baum, James K. Roberts, Pascale Feldmann, Thierry Bogaert, Ty T. Vaughn, Geert Plaetinck, T.R.I. Munyikwa, Scott N. Johnson and Michael Pleau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

William Clinton

7 papers receiving 1.9k 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
William Clinton United States 7 1.7k 986 820 128 65 7 1.9k
James K. Roberts United States 19 2.0k 1.2× 876 0.9× 1.3k 1.6× 148 1.2× 75 1.2× 25 2.4k
Clauvis Nji Tizi Taning Belgium 24 1.3k 0.8× 968 1.0× 845 1.0× 150 1.2× 58 0.9× 57 1.8k
Gregory R. Heck United States 16 2.3k 1.4× 1.0k 1.0× 1.5k 1.9× 142 1.1× 73 1.1× 20 2.8k
Xuewei Chen China 22 874 0.5× 713 0.7× 956 1.2× 181 1.4× 24 0.4× 41 1.5k
Michael Pleau United States 8 1.5k 0.9× 921 0.9× 666 0.8× 103 0.8× 60 0.9× 9 1.7k
T.R.I. Munyikwa Netherlands 7 1.3k 0.8× 675 0.7× 728 0.9× 95 0.7× 54 0.8× 11 1.5k
Yanhua Fan China 23 1.3k 0.8× 1.4k 1.4× 528 0.6× 83 0.6× 65 1.0× 52 1.8k
Fengliang Jin China 26 961 0.6× 995 1.0× 530 0.6× 118 0.9× 293 4.5× 84 1.5k
Almudena Ortiz‐Urquiza United States 19 1.1k 0.7× 1.7k 1.7× 889 1.1× 208 1.6× 70 1.1× 28 2.0k
Yingchuan Peng China 19 792 0.5× 618 0.6× 328 0.4× 102 0.8× 39 0.6× 39 1.0k

Countries citing papers authored by William Clinton

Since Specialization
Citations

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

Fields of papers citing papers by William Clinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Clinton

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

All Works

7 of 7 papers shown
1.
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
2.
Ramaseshadri, Parthasarathy, Gerrit Segers, Ronald S. Flannagan, et al.. (2013). Physiological and Cellular Responses Caused by RNAi- Mediated Suppression of Snf7 Orthologue in Western Corn Rootworm (Diabrotica virgifera virgifera) Larvae. PLoS ONE. 8(1). e54270–e54270. 85 indexed citations
3.
Bolognesi, Renata, Parthasarathy Ramaseshadri, Jerry L. Anderson, et al.. (2012). Characterizing the Mechanism of Action of Double-Stranded RNA Activity against Western Corn Rootworm (Diabrotica virgifera virgifera LeConte). PLoS ONE. 7(10). e47534–e47534. 341 indexed citations
4.
Murfin, Kristen E., John M. Chaston, Gregory R. Richards, et al.. (2011). Phenotypic variation and host interactions of Xenorhabdus bovienii SS‐2004, the entomopathogenic symbiont of Steinernema jollieti nematodes. Environmental Microbiology. 14(4). 924–939. 41 indexed citations
5.
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 →
6.
Donovan, William P., James A. Baum, Greg J. Bunkers, et al.. (2006). Discovery and characterization of Sip1A: a novel secreted protein from Bacillus thuringiensis with activity against coleopteran larvae. Applied Microbiology and Biotechnology. 72(4). 713–719. 61 indexed citations
7.
Feng, Paul C. C., William Clinton, Greg J. Bunkers, et al.. (2005). Glyphosate inhibits rust diseases in glyphosate-resistant wheat and soybean. Proceedings of the National Academy of Sciences. 102(48). 17290–17295. 79 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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