David A Ingber

622 total citations
7 papers, 466 citations indexed

About

David A Ingber is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, David A Ingber has authored 7 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Insect Science and 1 paper in Plant Science. Recurrent topics in David A Ingber's work include Insect Resistance and Genetics (7 papers), Insect and Pesticide Research (6 papers) and Entomopathogenic Microorganisms in Pest Control (5 papers). David A Ingber is often cited by papers focused on Insect Resistance and Genetics (7 papers), Insect and Pesticide Research (6 papers) and Entomopathogenic Microorganisms in Pest Control (5 papers). David A Ingber collaborates with scholars based in United States, Switzerland and France. David A Ingber's co-authors include Aaron J. Gassmann, Mike W. Dunbar, Eric H. Clifton, R. S. Keweshan, Jennifer L. Petzold-Maxwell, Lindsey Flexner, Charles E. Mason, B. Wade French, Ram B. Shrestha and Siva Rama Krishna Jakka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Pest Management Science and Journal of Economic Entomology.

In The Last Decade

David A Ingber

7 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David A Ingber United States	7	427	387	157	21	16	7	466
Srinivas Parimi United States	9	248 0.6×	202 0.5×	137 0.9×	20 1.0×	8 0.5×	19	303
Tarique Hassan Askary India	9	165 0.4×	264 0.7×	335 2.1×	10 0.5×	8 0.5×	21	389
Matthew L. Higdon United States	9	418 1.0×	403 1.0×	138 0.9×	22 1.0×	3 0.2×	10	458
Amanda L. Patin United States	8	516 1.2×	448 1.2×	356 2.3×	29 1.4×	8 0.5×	10	560
Haonan Zhang China	7	586 1.4×	452 1.2×	343 2.2×	12 0.6×	3 0.2×	7	613
Débora Mello da Silva Brazil	10	255 0.6×	341 0.9×	249 1.6×	14 0.7×	5 0.3×	15	411
Wei-Bing Shi China	8	162 0.4×	308 0.8×	203 1.3×	13 0.6×	25 1.6×	9	338
Marilú López-Edwards Mexico	7	188 0.4×	259 0.7×	147 0.9×	14 0.7×	12 0.8×	10	282
О. Г. Томилова Russia	12	101 0.2×	193 0.5×	134 0.9×	22 1.0×	5 0.3×	24	262
H. Enrique Cabanillas United States	13	260 0.6×	375 1.0×	310 2.0×	18 0.9×	17 1.1×	16	401

Countries citing papers authored by David A Ingber

Since Specialization

Citations

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

Fields of papers citing papers by David A Ingber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A Ingber

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

All Works

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7 of 7 papers shown

Ingber, David A, John H. McDonald, Charles E. Mason, & Lindsey Flexner. (2021). Oviposition preferences, Bt susceptibilities, and tissue feeding of fall armyworm (Lepidoptera: Noctuidae) host strains. Pest Management Science. 77(9). 4091–4099. 11 indexed citations

Ingber, David A, Shawn A. Christensen, Hans T. Alborn, & Ivan Hiltpold. (2021). Detecting the Conspecific: Herbivory-Induced Olfactory Cues in the Fall Armyworm (Lepidoptera: Noctuidae). Metabolites. 11(9). 583–583. 7 indexed citations

Ingber, David A, Charles E. Mason, & Lindsey Flexner. (2017). Cry1 Bt Susceptibilities of Fall Armyworm (Lepidoptera: Noctuidae) Host Strains. Journal of Economic Entomology. 111(1). 361–368. 33 indexed citations

Gassmann, Aaron J., Ram B. Shrestha, Siva Rama Krishna Jakka, et al.. (2016). Evidence of Resistance to Cry34/35Ab1 Corn by Western Corn Rootworm (Coleoptera: Chrysomelidae): Root Injury in the Field and Larval Survival in Plant-Based Bioassays. Journal of Economic Entomology. 109(4). 1872–1880. 84 indexed citations

Ingber, David A & Aaron J. Gassmann. (2015). Inheritance and Fitness Costs of Resistance to Cry3Bb1 Corn by Western Corn Rootworm (Coleoptera: Chrysomelidae). Journal of Economic Entomology. 108(5). 2421–2432. 42 indexed citations

Deitloff, Jennifer, Mike W. Dunbar, David A Ingber, Bruce E. Hibbard, & Aaron J. Gassmann. (2015). Effects of refuges on the evolution of resistance to transgenic corn by the western corn rootworm, Diabrotica virgifera virgifera LeConte. Pest Management Science. 72(1). 190–198. 29 indexed citations

Gassmann, Aaron J., Jennifer L. Petzold-Maxwell, Eric H. Clifton, et al.. (2014). Field-evolved resistance by western corn rootworm to multipleBacillus thuringiensistoxins in transgenic maize. Proceedings of the National Academy of Sciences. 111(14). 5141–5146. 260 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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