David L. Kerns

3.4k total citations
138 papers, 2.5k citations indexed

About

David L. Kerns is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, David L. Kerns has authored 138 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Insect Science, 78 papers in Plant Science and 73 papers in Molecular Biology. Recurrent topics in David L. Kerns's work include Insect-Plant Interactions and Control (81 papers), Insect Resistance and Genetics (72 papers) and Insect and Pesticide Research (57 papers). David L. Kerns is often cited by papers focused on Insect-Plant Interactions and Control (81 papers), Insect Resistance and Genetics (72 papers) and Insect and Pesticide Research (57 papers). David L. Kerns collaborates with scholars based in United States, United Kingdom and Germany. David L. Kerns's co-authors include Fei Yang, Fangneng Huang, Graham Head, Scott Stewart, M. J. Gaylor, G. David Buntin, Michael J. Brewer, John W. Gordy, Dominic Reisig and Ying Niu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

David L. Kerns

122 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
David L. Kerns United States 27 2.0k 1.6k 1.4k 247 79 138 2.5k
E. C. Burkness United States 21 1.3k 0.7× 1.1k 0.7× 986 0.7× 184 0.7× 213 2.7× 89 1.8k
Jawwad A. Qureshi United States 25 1.9k 1.0× 2.0k 1.3× 600 0.4× 288 1.2× 149 1.9× 171 2.5k
Adeney de Freitas Bueno Brazil 27 1.9k 1.0× 1.4k 0.9× 1.3k 0.9× 429 1.7× 80 1.0× 119 2.4k
Fred R. Musser United States 24 1.3k 0.7× 915 0.6× 776 0.5× 381 1.5× 80 1.0× 94 1.6k
E. Grafius United States 24 1.6k 0.8× 1.3k 0.8× 1.2k 0.8× 371 1.5× 251 3.2× 81 2.3k
B. R. Leonard United States 33 2.1k 1.1× 1.8k 1.2× 2.3k 1.7× 242 1.0× 40 0.5× 137 2.9k
Yolanda H. Chen United States 23 996 0.5× 823 0.5× 434 0.3× 359 1.5× 146 1.8× 61 1.5k
J. N. All United States 24 1.0k 0.5× 1.4k 0.9× 954 0.7× 265 1.1× 124 1.6× 108 2.0k
S. S. Quisenberry United States 24 1.3k 0.6× 1.2k 0.7× 476 0.3× 308 1.2× 99 1.3× 88 1.7k
Michael Meissle Switzerland 25 1.3k 0.6× 1.2k 0.8× 1.6k 1.2× 88 0.4× 42 0.5× 68 1.9k

Countries citing papers authored by David L. Kerns

Since Specialization
Citations

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

Fields of papers citing papers by David L. Kerns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Kerns. 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 David L. Kerns. The network helps show where David L. Kerns may publish in the future.

Co-authorship network of co-authors of David L. Kerns

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Kerns. A scholar is included among the top collaborators of David L. Kerns 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 David L. Kerns. David L. Kerns 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.
Helms, Anjel M., et al.. (2025). Indirect plant defense may provide economically important pest suppression in sorghum. Pest Management Science. 81(11). 7478–7488. 1 indexed citations
2.
North, Henry L., Zhen Fu, Richard P. Metz, et al.. (2024). Rapid Adaptation and Interspecific Introgression in the North American Crop Pest Helicoverpa zea. Molecular Biology and Evolution. 41(7). 7 indexed citations
3.
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5.
Degain, Benjamin A., Fei Yang, David L. Kerns, et al.. (2024). Mismatch between lab-generated and field-evolved resistance to transgenic Bt crops inHelicoverpa zea. Proceedings of the National Academy of Sciences. 121(47). e2416091121–e2416091121. 9 indexed citations
6.
Kerns, David L., et al.. (2023). Resistance Allele Frequency of Helicoverpa zea to Vip3Aa Bacillus thuringiensis Protein in the Southeastern U.S.. Insects. 14(2). 161–161. 10 indexed citations
7.
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Steury, Todd D., Jeffrey Gore, Jeremy K. Greene, et al.. (2023). The Spatiotemporal Distribution, Abundance, and Seasonal Dynamics of Cotton-Infesting Aphids in the Southern U.S.. Insects. 14(7). 639–639. 6 indexed citations
9.
Gordy, John W., Nicholas J. Seiter, David L. Kerns, et al.. (2021). Field Assessment of Aphid Doubling Time and Yield of Sorghum Susceptible and Partially Resistant to Sugarcane Aphid (Hemiptera: Aphididae). Journal of Economic Entomology. 114(5). 2076–2087. 15 indexed citations
10.
Yang, Fei, Sebe Brown, Angus L. Catchot, et al.. (2021). Development of Economic Thresholds Toward Bollworm (Lepidoptera: Noctuidae), Management in Bt Cotton, and Assessment of the Benefits From Treating Bt Cotton With Insecticide. Journal of Economic Entomology. 114(6). 2493–2504. 4 indexed citations
11.
Musser, Fred R., Jeffrey Gore, Natraj Krishnan, et al.. (2021). Sublethal Impacts of Novaluron on Tarnished Plant Bug (Hemiptera: Miridae) Adults. Journal of Economic Entomology. 114(2). 739–746. 5 indexed citations
12.
Caprio, Michael A., Ryan Kurtz, Angus L. Catchot, et al.. (2019). The Corn–Cotton Agroecosystem in the Mid-Southern United States: What Insecticidal Event Pyramids Should be Used in Each Crop to Extend Vip3A Durability. Journal of Economic Entomology. 112(6). 2894–2906. 15 indexed citations
13.
Gowda, Anilkumar, John T. Greenplate, Jeffrey Gore, et al.. (2018). First transgenic trait for control of plant bugs and thrips in cotton. Pest Management Science. 75(3). 867–877. 38 indexed citations
14.
Kerns, David L., et al.. (2015). Sugarcane aphid: a new invasive pest of sorghum.. 58(3). 12–14. 15 indexed citations
15.
Stewart, Scott, J. S. Bacheler, Angus L. Catchot, et al.. (2013). Survey of thrips species infesting cotton across the southern U.S. Cotton Belt.. ˜The œjournal of cotton science/Journal of cotton science. 17(4). 263–269. 19 indexed citations
16.
Kerns, David L., John C. Palumbo, & David N. Byrne. (1998). Relative Susceptibility of Red and Green Color Forms of Green Peach Aphid to Insecticides. Southwestern Entomologist. 23(1). 17–24. 6 indexed citations
17.
Kerns, David L., et al.. (1998). Efficacy of Experimental Insecticides for Whitefly Control in Cotton, 1996. UA Campus Repository (The University of Arizona). 1 indexed citations
18.
Kerns, David L. & John C. Palumbo. (1996). Residual Activity of New Insecticide Chemistries Against Beet Armyworm in Lettuce. UA Campus Repository (The University of Arizona). 1 indexed citations
19.
Palumbo, John C., et al.. (1996). Optimal Soil Placement and Application Method of Admire® for Sweetpotato Whitefly Control in Head Lettuce. UA Campus Repository (The University of Arizona).
20.
Palumbo, John C. & David L. Kerns. (1994). Effects of imidacloprid as a soil treatment on colonization of green peach aphid and marketability of lettuce. Southwestern Entomologist. 19(4). 339–346. 7 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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