Don Cipollini

5.8k total citations · 1 hit paper
98 papers, 4.2k citations indexed

About

Don Cipollini is a scholar working on Plant Science, Insect Science and Ecology. According to data from OpenAlex, Don Cipollini has authored 98 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 47 papers in Insect Science and 39 papers in Ecology. Recurrent topics in Don Cipollini's work include Insect-Plant Interactions and Control (41 papers), Forest Insect Ecology and Management (36 papers) and Plant and animal studies (27 papers). Don Cipollini is often cited by papers focused on Insect-Plant Interactions and Control (41 papers), Forest Insect Ecology and Management (36 papers) and Plant and animal studies (27 papers). Don Cipollini collaborates with scholars based in United States, Germany and Denmark. Don Cipollini's co-authors include E. Kathryn Barto, Pierluigi Bonello, Stephanie Enright, Chad M. Rigsby, Joy Bergelson, Monica A. Dorning, Daniel A. Herms, Kathryn Barto, John N. Klironomos and Alieta Eyles and has published in prestigious journals such as Ecology, Journal of Agricultural and Food Chemistry and New Phytologist.

In The Last Decade

Don Cipollini

95 papers receiving 4.0k citations

Hit Papers

NOVEL WEAPONS: INVASIVE PLANT SUPPRESSES FUNGAL MUTUALIST... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don Cipollini United States 38 2.6k 1.5k 1.3k 1.1k 994 98 4.2k
Sybille B. Unsicker Germany 34 2.1k 0.8× 1.6k 1.1× 1.6k 1.2× 653 0.6× 651 0.7× 72 4.0k
Xoaquín Moreira Spain 35 1.3k 0.5× 1.4k 0.9× 2.0k 1.5× 1.4k 1.3× 1.3k 1.3× 142 3.5k
Heidi M. Appel United States 27 2.4k 0.9× 1.4k 0.9× 1.1k 0.8× 457 0.4× 431 0.4× 54 3.8k
Arthur R. Zangerl United States 32 1.9k 0.7× 1.7k 1.1× 1.4k 1.1× 446 0.4× 452 0.5× 68 3.4k
Pierluigi Bonello United States 35 1.8k 0.7× 1.4k 0.9× 590 0.4× 1.9k 1.7× 335 0.3× 119 3.6k
Tom W. May Australia 28 2.3k 0.9× 855 0.6× 1.1k 0.8× 496 0.4× 423 0.4× 140 3.4k
A. R. Zangerl United States 28 1.6k 0.6× 1.1k 0.8× 1.4k 1.0× 493 0.4× 650 0.7× 39 2.9k
Jorma Tahvanainen Finland 34 1.5k 0.6× 1.3k 0.9× 1.4k 1.1× 1.2k 1.1× 1.1k 1.1× 66 3.4k
Svaťa M. Louda United States 35 2.3k 0.9× 2.2k 1.4× 2.3k 1.7× 1.2k 1.1× 2.0k 2.0× 86 4.6k
Kazuhide Nara Japan 28 3.1k 1.2× 1.8k 1.2× 1.1k 0.8× 328 0.3× 764 0.8× 72 3.4k

Countries citing papers authored by Don Cipollini

Since Specialization
Citations

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

Fields of papers citing papers by Don Cipollini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Cipollini

This figure shows the co-authorship network connecting the top 25 collaborators of Don Cipollini. A scholar is included among the top collaborators of Don Cipollini 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 Don Cipollini. Don Cipollini 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.
3.
Cipollini, Don, et al.. (2023). The persistence of blue ash in the aftermath of emerald ash borer may be due to adult oviposition preferences and reduced larval performance. Agricultural and Forest Entomology. 25(4). 584–589. 5 indexed citations
5.
Böröczky, Katalin, et al.. (2020). Ecological fitting: Chemical profiles of plant hosts provide insights on selection cues and preferences for a major buprestid pest. Phytochemistry. 176. 112397–112397. 12 indexed citations
6.
Rigsby, Chad M., et al.. (2017). Variation in the Volatile Profiles of Black and Manchurian Ash in Relation to Emerald Ash Borer Oviposition Preferences. Journal of Chemical Ecology. 43(8). 831–842. 14 indexed citations
7.
Olsen, Carl Erik, Xiao‐Chen Huang, Cecilie Cetti Hansen, et al.. (2016). Glucosinolate diversity within a phylogenetic framework of the tribe Cardamineae (Brassicaceae) unraveled with HPLC-MS/MS and NMR-based analytical distinction of 70 desulfoglucosinolates. Phytochemistry. 132. 33–56. 59 indexed citations
8.
Álvarez‐López, Vanessa, et al.. (2016). The History of Attack and Success of Emerald Ash Borer (Coleoptera: Buprestidae) on White Fringetree in Southwestern Ohio. Environmental Entomology. 45(4). 961–966. 14 indexed citations
9.
Lieurance, Deah, Sourav Chakraborty, Susan R. Whitehead, et al.. (2015). Comparative Herbivory Rates and Secondary Metabolite Profiles in the Leaves of Native and Non-Native Lonicera Species. Journal of Chemical Ecology. 41(12). 1069–1079. 13 indexed citations
10.
Lieurance, Deah & Don Cipollini. (2013). Environmental influences on growth and defence responses of the invasive shrub, Lonicera maackii, to simulated and real herbivory in the juvenile stage. Annals of Botany. 112(4). 741–749. 22 indexed citations
11.
Rigsby, Chad M., et al.. (2013). Water Conservation Features of Ova ofAgrilus planipennis(Coleoptera: Buprestidae). Environmental Entomology. 42(2). 363–369. 4 indexed citations
12.
Cipollini, Don & Martin Heil. (2010). Costs and benefits of induced resistance to herbivores and pathogens in plants.. CABI Reviews. 1–25. 63 indexed citations
13.
Barto, E. Kathryn & Don Cipollini. (2009). Density-Dependent Phytotoxicity of Impatiens pallida Plants Exposed to Extracts of Alliaria petiolata. Journal of Chemical Ecology. 35(4). 495–504. 17 indexed citations
14.
Barto, Kathryn, Stephanie Enright, Alieta Eyles, et al.. (2008). Effects of Fertilization and Fungal and Insect Attack on Systemic Protein Defenses of Austrian Pine. Journal of Chemical Ecology. 34(11). 1392–1400. 17 indexed citations
15.
Eyles, Alieta, W.P. Jones, Kenneth M. Riedl, et al.. (2007). Comparative Phloem Chemistry of Manchurian (Fraxinus mandshurica) and Two North American Ash Species (Fraxinus americana and Fraxinus pennsylvanica). Journal of Chemical Ecology. 33(7). 1430–1448. 117 indexed citations
16.
Enright, Stephanie & Don Cipollini. (2007). Infection by powdery mildew Erysiphe cruciferarum (Erysiphaceae) strongly affects growth and fitness of Alliaria petiolata (Brassicaceae). American Journal of Botany. 94(11). 1813–1820. 29 indexed citations
17.
Eyles, Alieta, Rodrigo A. Chorbadjian, Christopher M. Wallis, et al.. (2007). Cross-induction of systemic induced resistance between an insect and a fungal pathogen in Austrian pine over a fertility gradient. Oecologia. 153(2). 365–374. 41 indexed citations
18.
Wallis, Christopher M., Alieta Eyles, Rodrigo A. Chorbadjian, et al.. (2007). Systemic induction of phloem secondary metabolism and its relationship to resistance to a canker pathogen in Austrian pine. New Phytologist. 177(3). 767–778. 105 indexed citations
20.
Barto, E. Kathryn & Don Cipollini. (2005). Testing the optimal defense theory and the growth-differentiation balance hypothesis in Arabidopsis thaliana. Oecologia. 146(2). 169–178. 76 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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