Dawn S. Luthe

7.3k total citations · 1 hit paper
93 papers, 5.2k citations indexed

About

Dawn S. Luthe is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Dawn S. Luthe has authored 93 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 57 papers in Plant Science and 43 papers in Insect Science. Recurrent topics in Dawn S. Luthe's work include Insect Resistance and Genetics (33 papers), Insect-Plant Interactions and Control (29 papers) and Insect and Pesticide Research (12 papers). Dawn S. Luthe is often cited by papers focused on Insect Resistance and Genetics (33 papers), Insect-Plant Interactions and Control (29 papers) and Insect and Pesticide Research (12 papers). Dawn S. Luthe collaborates with scholars based in United States, Pakistan and Russia. Dawn S. Luthe's co-authors include Gary W. Felton, Michelle Peiffer, W. Paul Williams, John F. Tooker, Tibor Pechan, Ralph S. Quatrano, Swayamjit Ray, Çetin Yüceer, Chuan‐Yu Hsu and Kelli Hoover and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Dawn S. Luthe

93 papers receiving 5.0k citations

Hit Papers

Herbivore exploits orally... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn S. Luthe United States 41 3.4k 2.6k 2.2k 525 290 93 5.2k
Margaret G. Redinbaugh United States 37 4.0k 1.2× 1.5k 0.6× 1.4k 0.7× 185 0.4× 401 1.4× 114 5.1k
Ruud A. de Maagd Netherlands 39 3.3k 1.0× 4.0k 1.6× 1.9k 0.8× 186 0.4× 181 0.6× 98 5.4k
Paul Staswick United States 40 8.1k 2.3× 3.7k 1.4× 2.1k 1.0× 771 1.5× 218 0.8× 78 9.1k
Godelieve Gheysen Belgium 57 8.3k 2.4× 3.5k 1.4× 1.4k 0.6× 597 1.1× 373 1.3× 217 9.9k
Keyan Zhu‐Salzman United States 38 2.9k 0.9× 2.0k 0.8× 2.4k 1.1× 528 1.0× 378 1.3× 125 4.6k
Yonggen Lou China 50 5.2k 1.5× 2.5k 1.0× 3.6k 1.6× 967 1.8× 362 1.2× 139 7.0k
Uwe Conrath Germany 37 7.2k 2.1× 2.5k 1.0× 794 0.4× 512 1.0× 115 0.4× 76 8.3k
H. C. Sharma India 35 4.0k 1.2× 1.7k 0.7× 1.9k 0.8× 443 0.8× 446 1.5× 258 5.1k
Murray Grant United Kingdom 46 8.8k 2.6× 3.2k 1.3× 834 0.4× 412 0.8× 214 0.7× 117 9.9k

Countries citing papers authored by Dawn S. Luthe

Since Specialization
Citations

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

Fields of papers citing papers by Dawn S. Luthe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn S. Luthe. 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 Dawn S. Luthe. The network helps show where Dawn S. Luthe may publish in the future.

Co-authorship network of co-authors of Dawn S. Luthe

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn S. Luthe. A scholar is included among the top collaborators of Dawn S. Luthe 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 Dawn S. Luthe. Dawn S. Luthe 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.
Pingault, Lise, Nathan A. Palmer, Swayamjit Ray, et al.. (2021). Transcriptomic and volatile signatures associated with maize defense against corn leaf aphid. BMC Plant Biology. 21(1). 138–138. 17 indexed citations
2.
Yang, Han, Erin B. Taylor, & Dawn S. Luthe. (2021). Maize Endochitinase Expression in Response to Fall Armyworm Herbivory. Journal of Chemical Ecology. 47(7). 689–706. 11 indexed citations
3.
Ahmad, İmtiaz, María del Mar Jiménez-Gasco, Dawn S. Luthe, & Mary E. Barbercheck. (2020). Systemic Colonization by Metarhizium robertsii Enhances Cover Crop Growth. Journal of Fungi. 6(2). 64–64. 20 indexed citations
4.
Grover, Sajjan, Shaoqun Zhou, Kyle G. Koch, et al.. (2019). 12-Oxo-Phytodienoic Acid Acts as a Regulator of Maize Defense against Corn Leaf Aphid. PLANT PHYSIOLOGY. 179(4). 1402–1415. 71 indexed citations
5.
Acevedo, Flor E., Michelle Peiffer, Swayamjit Ray, et al.. (2018). Intraspecific differences in plant defense induction by fall armyworm strains. New Phytologist. 218(1). 310–321. 51 indexed citations
6.
Basu, Saumik, et al.. (2016). Intraplant communication in maize contributes to defense against insects. Plant Signaling & Behavior. 11(8). e1212800–e1212800. 10 indexed citations
7.
Louis, Joe, et al.. (2015). Ethylene Contributes to maize insect resistance1-Mediated Maize Defense against the Phloem Sap-Sucking Corn Leaf Aphid. PLANT PHYSIOLOGY. 169(1). 313–324. 67 indexed citations
8.
Chung, Seung Ho, Cristina Rosa, Erin D. Scully, et al.. (2013). Herbivore exploits orally secreted bacteria to suppress plant defenses. Proceedings of the National Academy of Sciences. 110(39). 15728–15733. 333 indexed citations breakdown →
9.
Chung, Seung Ho, Cristina Rosa, Kelli Hoover, Dawn S. Luthe, & Gary W. Felton. (2013). Colorado potato beetle manipulates plant defenses in local and systemic leaves. Plant Signaling & Behavior. 8(12). e27592–e27592. 28 indexed citations
10.
Fescemyer, Howard W., et al.. (2013). Maize toxin degrades peritrophic matrix proteins and stimulates compensatory transcriptome responses in fall armyworm midgut. Insect Biochemistry and Molecular Biology. 43(3). 280–291. 39 indexed citations
11.
Shivaji, Renuka, W. Paul Williams, Dawn S. Luthe, et al.. (2012). A Maize Line Resistant to Herbivory Constitutively Releases (E)-β-Caryophyllene. Journal of Economic Entomology. 105(1). 120–128. 35 indexed citations
12.
Shakeel, Samina N., et al.. (2011). Ecotypic variation in chloroplast small heat-shock proteins and related thermotolerance in Chenopodium album. Plant Physiology and Biochemistry. 49(8). 898–908. 22 indexed citations
13.
Peiffer, Michelle, John F. Tooker, Dawn S. Luthe, & Gary W. Felton. (2009). Plants on early alert: glandular trichomes as sensors for insect herbivores. New Phytologist. 184(3). 644–656. 172 indexed citations
14.
Peethambaran, Bela, Leigh K. Hawkins, Gary L. Windham, W. Paul Williams, & Dawn S. Luthe. (2009). Anti-fungal activity of maize silk proteins and role of chitinases inAspergillus flavusresistance. Toxin Reviews. 29(1). 27–39. 23 indexed citations
15.
Zhu‐Salzman, Keyan, Dawn S. Luthe, & Gary W. Felton. (2008). Arthropod-Inducible Proteins: Broad Spectrum Defenses against Multiple Herbivores. PLANT PHYSIOLOGY. 146(3). 852–858. 133 indexed citations
16.
Yüceer, Çetin, et al.. (2002). Structure and developmental regulation of CONSTANS-LIKE genes isolated from Populus deltoides. Plant Science. 163(3). 615–625. 16 indexed citations
17.
Heckathorn, Scott A., et al.. (2002). In vivo evidence from an Agrostis stolonifera selection genotype that chloroplast small heat-shock proteins can protect photosystem II during heat stress. Australian Journal of Plant Physiology. 29(8). 935–946. 88 indexed citations
19.
Cerdeira, A. L., et al.. (1994). Free amino acid and protein modification in southernpea (Vigna unquiculata L. Walp.) with glyphosate. Ciencia e cultura. 46(3). 172–174. 1 indexed citations
20.
Luthe, Dawn S. & Ralph S. Quatrano. (1980). Transcription in Isolated Wheat Nuclei. PLANT PHYSIOLOGY. 65(2). 309–313. 47 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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