Ben Degain

548 total citations
16 papers, 411 citations indexed

About

Ben Degain is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Ben Degain has authored 16 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Plant Science and 9 papers in Insect Science. Recurrent topics in Ben Degain's work include Insect Resistance and Genetics (14 papers), Genetically Modified Organisms Research (9 papers) and CRISPR and Genetic Engineering (6 papers). Ben Degain is often cited by papers focused on Insect Resistance and Genetics (14 papers), Genetically Modified Organisms Research (9 papers) and CRISPR and Genetic Engineering (6 papers). Ben Degain collaborates with scholars based in United States, Canada and China. Ben Degain's co-authors include Yves Carrière, Bruce E. Tabashnik, Gopalan C. Unnithan, Xianchun Li, Jie Zhang, Jizhen Wei, Christa Ellers‐Kirk, Timothy J. Dennehy, Virginia S. Harpold and John C. Palumbo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Pest Management Science.

In The Last Decade

Ben Degain

15 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Degain United States 12 346 305 241 19 15 16 411
Christine M. Yafuso United States 11 339 1.0× 274 0.9× 251 1.0× 17 0.9× 5 0.3× 11 397
Charles F. Chilcutt United States 10 325 0.9× 288 0.9× 236 1.0× 26 1.4× 12 0.8× 22 384
Mark S. Paradise United States 8 294 0.8× 215 0.7× 172 0.7× 17 0.9× 19 1.3× 8 340
Hassan Oloumi-Sadeghi United States 8 253 0.7× 279 0.9× 166 0.7× 20 1.1× 32 2.1× 13 335
Camila Oliveira-Hofman United States 9 123 0.4× 242 0.8× 214 0.9× 37 1.9× 16 1.1× 15 291
Ézio Marques da Silva Brazil 12 113 0.3× 284 0.9× 237 1.0× 50 2.6× 20 1.3× 28 348
L. C. Adams United States 7 269 0.8× 225 0.7× 209 0.9× 21 1.1× 10 0.7× 13 340
V. Balasubramani India 10 204 0.6× 191 0.6× 150 0.6× 11 0.6× 7 0.5× 75 283
Amanda L. Patin United States 8 516 1.5× 448 1.5× 356 1.5× 16 0.8× 8 0.5× 10 560
Virginia S. Harpold United States 11 317 0.9× 425 1.4× 301 1.2× 30 1.6× 6 0.4× 14 513

Countries citing papers authored by Ben Degain

Since Specialization
Citations

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

Fields of papers citing papers by Ben Degain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Degain

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

All Works

16 of 16 papers shown
1.
Carrière, Yves, Ben Degain, Gopalan C. Unnithan, & Bruce E. Tabashnik. (2023). Inheritance and fitness cost of laboratory-selected resistance to Vip3Aa in Helicoverpa zea (Lepidoptera: Noctuidae). Journal of Economic Entomology. 116(5). 1804–1811. 7 indexed citations
2.
Fabrick, Jeffrey A., Chan C. Heu, Ben Degain, et al.. (2022). Knockout of ABC transporter gene ABCA2 confers resistance to Bt toxin Cry2Ab in Helicoverpa zea. Scientific Reports. 12(1). 16706–16706. 12 indexed citations
3.
Carrière, Yves, Ben Degain, & Bruce E. Tabashnik. (2020). Effects of gene flow between Bt and non‐Bt plants in a seed mixture of Cry1A.105 + Cry2Ab corn on performance of corn earworm in Arizona. Pest Management Science. 77(4). 2106–2113. 16 indexed citations
4.
Carrière, Yves, Ben Degain, Virginia S. Harpold, Gopalan C. Unnithan, & Bruce E. Tabashnik. (2020). Gene Flow Between Bt and Non-Bt Plants in a Seed Mixture Increases Dominance of Resistance to Pyramided Bt Corn in Helicoverpa zea (Lepidoptera: Noctuidae). Journal of Economic Entomology. 113(5). 2041–2051. 16 indexed citations
5.
Carrière, Yves, Alex J. Yelich, Ben Degain, et al.. (2019). Gossypol in cottonseed increases the fitness cost of resistance to Bt cotton in pink bollworm. Crop Protection. 126. 104914–104914. 12 indexed citations
6.
Carrière, Yves, Ben Degain, Gopalan C. Unnithan, et al.. (2019). Seasonal Declines in Cry1Ac and Cry2Ab Concentration in Maturing Cotton Favor Faster Evolution of Resistance to Pyramided Bt Cotton in Helicoverpa zea (Lepidoptera: Noctuidae). Journal of Economic Entomology. 112(6). 2907–2914. 21 indexed citations
7.
Carrière, Yves, Ben Degain, Gopalan C. Unnithan, et al.. (2017). Effects of seasonal changes in cotton plants on the evolution of resistance to pyramided cotton producing the Bt toxins Cry1Ac and Cry1F in Helicoverpa zea. Pest Management Science. 74(3). 627–637. 16 indexed citations
8.
Carrière, Yves, et al.. (2017). Validation of a Landscape-Based Model for Whitefly Spread of the Cucurbit Yellow Stunting Disorder Virus to Fall Melons. Journal of Economic Entomology. 110(5). 2002–2009. 5 indexed citations
9.
Fabrick, Jeffrey A., Gopalan C. Unnithan, Alex J. Yelich, et al.. (2015). Multi-Toxin Resistance Enables Pink Bollworm Survival on Pyramided Bt Cotton. Scientific Reports. 5(1). 16554–16554. 41 indexed citations
10.
Unnithan, Gopalan C., Ben Degain, Jizhen Wei, et al.. (2015). Cross-resistance to toxins used in pyramided Bt crops and resistance to Bt sprays in Helicoverpa zea. Journal of Invertebrate Pathology. 132. 149–156. 93 indexed citations
11.
Orpet, Robert J., et al.. (2015). Effects of dietary protein to carbohydrate ratio on Bt toxicity and fitness costs of resistance in Helicoverpa zea. Entomologia Experimentalis et Applicata. 156(1). 28–36. 22 indexed citations
12.
Carrière, Yves, Ben Degain, Kurt Nolte, et al.. (2014). Assessing Transmission of Crop Diseases by Insect Vectors in a Landscape Context. Journal of Economic Entomology. 107(1). 1–10. 28 indexed citations
13.
Carrière, Yves, Christa Ellers‐Kirk, Kyle Hartfield, et al.. (2012). Large-scale, spatially-explicit test of the refuge strategy for delaying insecticide resistance. Proceedings of the National Academy of Sciences. 109(3). 775–780. 66 indexed citations
14.
Ellsworth, Peter C., et al.. (2007). Assessment of Knack Field Performance Through Precision Field and Laboratory Bioassays in Cotton. UA Campus Repository (The University of Arizona). 1 indexed citations
15.
Carrière, Yves, Christa Ellers‐Kirk, Robert W. Biggs, et al.. (2005). Effects of Cotton Cultivar on Fitness Costs Associated with Resistance of Pink Bollworm (Lepidoptera: Gelechiidae) to Bt Cotton. Journal of Economic Entomology. 98(3). 947–954. 49 indexed citations
16.
Dennehy, Timothy J., et al.. (2002). Six Years of Successful Management of Whitefly Resistance in Arizona Cotton. UA Campus Repository (The University of Arizona). 6 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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