Rogers Leonard

557 total citations
10 papers, 410 citations indexed

About

Rogers Leonard is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Rogers Leonard has authored 10 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Insect Science and 6 papers in Plant Science. Recurrent topics in Rogers Leonard's work include Insect Resistance and Genetics (9 papers), Genetically Modified Organisms Research (4 papers) and Insect and Pesticide Research (4 papers). Rogers Leonard is often cited by papers focused on Insect Resistance and Genetics (9 papers), Genetically Modified Organisms Research (4 papers) and Insect and Pesticide Research (4 papers). Rogers Leonard collaborates with scholars based in United States, Mexico and China. Rogers Leonard's co-authors include J. D. López, Douglas V. Sumerford, M. L. Laster, S. Micinski, David G. Heckel, Alfred Jones, Fred Gould, Fangneng Huang, Mukti N. Ghimire and Graham Head and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Pest Management Science and Crop Protection.

In The Last Decade

Rogers Leonard

9 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rogers Leonard United States 7 383 307 252 15 9 10 410
Alex J. Yelich United States 10 437 1.1× 346 1.1× 229 0.9× 14 0.9× 10 1.1× 10 472
Haonan Zhang China 7 586 1.5× 452 1.5× 343 1.4× 12 0.8× 6 0.7× 7 613
Randy M. Huckaba United States 7 619 1.6× 526 1.7× 402 1.6× 7 0.5× 11 1.2× 11 686
Shannon Heuberger United States 9 329 0.9× 210 0.7× 274 1.1× 13 0.9× 9 1.0× 11 357
Mike Whitlow United States 7 443 1.2× 355 1.2× 292 1.2× 26 1.7× 15 1.7× 15 509
Anilkumar Gowda United States 7 375 1.0× 285 0.9× 150 0.6× 17 1.1× 12 1.3× 8 404
Amanda L. Patin United States 8 516 1.3× 448 1.5× 356 1.4× 29 1.9× 7 0.8× 10 560
Christine M. Yafuso United States 11 339 0.9× 274 0.9× 251 1.0× 21 1.4× 6 0.7× 11 397
Albert L. Lu United States 8 264 0.7× 174 0.6× 109 0.4× 20 1.3× 10 1.1× 10 302
R. D. Voth United States 4 260 0.7× 192 0.6× 194 0.8× 9 0.6× 20 2.2× 10 303

Countries citing papers authored by Rogers Leonard

Since Specialization
Citations

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

Fields of papers citing papers by Rogers Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rogers Leonard

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

All Works

10 of 10 papers shown
1.
Hardke, J. T., Ryan Jackson, & Rogers Leonard. (2014). Opportunities to Manage Fall Armyworm (Lepidoptera: Noctuidae) on Bollgard II® Cotton with Reduced Rates of Insecticides. ˜The œjournal of cotton science/Journal of cotton science. 18(1). 59–67. 5 indexed citations
2.
Zhu, Yu Cheng, et al.. (2012). Microarray analysis of global gene regulation in the Cry1Ab‐resistant and Cry1Ab‐susceptible strains of Diatraea saccharalis. Pest Management Science. 68(5). 718–730. 26 indexed citations
4.
Blanco, Carlos A., David A. Andow, Craig A. Abel, et al.. (2009). <I>Bacillus thuringiensis</I> Cry1Ac Resistance Frequency in Tobacco Budworm (Lepidoptera: Noctuidae). Journal of Economic Entomology. 102(1). 381–387. 29 indexed citations
5.
Blanco, Carlos A., Nicholas P. Storer, Craig A. Abel, et al.. (2008). Baseline Susceptibility of Tobacco Budworm (Lepidoptera: Noctuidae) to Cry1F Toxin from <I>Bacillus thuringiensis</I>. Journal of Economic Entomology. 101(1). 168–173. 15 indexed citations
6.
Huang, Fangneng, Rogers Leonard, Bisong Yue, et al.. (2008). Geographical susceptibility of Louisiana and Texas populations of the sugarcane borer, Diatraea saccharalis (F.) (Lepidoptera: Crambidae) to Bacillus thuringiensis Cry1Ab protein. Crop Protection. 27(3-5). 799–806. 9 indexed citations
8.
Storer, Nicholas P., Craig A. Abel, Ryan S. Jackson, et al.. (2008). Baseline Susceptibility of Tobacco Budworm (Lepidoptera: Noctuidae) to Cry1F Toxin from Bacillus thuringiensis. Journal of Economic Entomology. 101(1). 168–173. 4 indexed citations
9.
Gould, Fred, Alfred Jones, Douglas V. Sumerford, et al.. (1997). Initial frequency of alleles for resistance to Bacillus thuringiensis toxins in field populations of Heliothis virescens. Proceedings of the National Academy of Sciences. 94(8). 3519–3523. 248 indexed citations
10.
Graves, J. B., et al.. (1995). Control cotton insects: 1995.

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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