Diana M. Percy

6.4k total citations · 1 hit paper
61 papers, 2.4k citations indexed

About

Diana M. Percy is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Insect Science. According to data from OpenAlex, Diana M. Percy has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Ecology, Evolution, Behavior and Systematics, 40 papers in Plant Science and 30 papers in Insect Science. Recurrent topics in Diana M. Percy's work include Phytoplasmas and Hemiptera pathogens (30 papers), Plant and animal studies (19 papers) and Insect-Plant Interactions and Control (17 papers). Diana M. Percy is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (30 papers), Plant and animal studies (19 papers) and Insect-Plant Interactions and Control (17 papers). Diana M. Percy collaborates with scholars based in Canada, United Kingdom and United States. Diana M. Percy's co-authors include Quentin Cronk, Spencer C. H. Barrett, Aron J. Fazekas, Prasad Kesanakurti, Brian C. Husband, Steven G. Newmaster, Kevin S. Burgess, Sean W. Graham, Mehrdad Hajibabaei and David Ouvrard and has published in prestigious journals such as PLoS ONE, Evolution and Annual Review of Entomology.

In The Last Decade

Diana M. Percy

58 papers receiving 2.3k citations

Hit Papers

Multiple Multilocus DNA Barcodes from the Plastid Genome ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana M. Percy Canada 22 1.2k 1.1k 877 660 575 61 2.4k
Motomi Itô Japan 37 2.3k 1.9× 1.8k 1.6× 1.9k 2.1× 399 0.6× 592 1.0× 168 4.2k
Oliver Gailing Germany 31 693 0.6× 1.3k 1.1× 1.0k 1.2× 251 0.4× 1.4k 2.4× 201 3.1k
Rosy Mary dos Santos Isaías Brazil 34 2.5k 2.1× 1.1k 1.0× 743 0.8× 1.4k 2.2× 164 0.3× 160 3.3k
Mark Fishbein United States 23 2.2k 1.8× 1.5k 1.4× 1.3k 1.5× 514 0.8× 589 1.0× 49 3.3k
Guillaume Chomicki United Kingdom 24 983 0.8× 805 0.7× 498 0.6× 201 0.3× 597 1.0× 58 1.8k
M. Brian Traw United States 25 585 0.5× 2.6k 2.4× 881 1.0× 614 0.9× 521 0.9× 47 3.3k
Michelle A. Graham United States 32 763 0.6× 3.5k 3.2× 1.5k 1.7× 680 1.0× 265 0.5× 71 4.6k
Kevin S. Burgess United States 26 1.3k 1.0× 799 0.7× 1.2k 1.4× 282 0.4× 723 1.3× 77 2.8k
Jorge A. Zavala Argentina 28 1.1k 0.9× 2.4k 2.2× 807 0.9× 1.8k 2.7× 253 0.4× 64 3.6k
Brigitte Demesure France 9 1.3k 1.1× 1.2k 1.1× 1.1k 1.3× 180 0.3× 1.5k 2.7× 12 2.9k

Countries citing papers authored by Diana M. Percy

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Percy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Percy. 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 Diana M. Percy. The network helps show where Diana M. Percy may publish in the future.

Co-authorship network of co-authors of Diana M. Percy

This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Percy. A scholar is included among the top collaborators of Diana M. Percy 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 Diana M. Percy. Diana M. Percy 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.
Degnan, Patrick H., Diana M. Percy, & Allison K. Hansen. (2025). Coupled evolutionary rates shape a Hawaiian insect-symbiont system. BMC Genomics. 26(1). 336–336.
3.
Sanderson, Brian J., Nan Hu, Quentin Cronk, et al.. (2025). Disentangling serial chloroplast captures in willows. American Journal of Botany. 112(5). e70039–e70039. 1 indexed citations
4.
Burckhardt, Daniel, Dalva Luiz de Queiroz, Renato Goldenberg, et al.. (2025). Deciphering the patterns and timing of diversification of the genus Melanastera (Hemiptera: Psylloidea: Liviidae) in the Neotropics. Molecular Phylogenetics and Evolution. 208. 108347–108347. 1 indexed citations
5.
Hansen, Allison K., et al.. (2024). Rapid Loss of Nutritional Symbionts in an Endemic Hawaiian Herbivore Radiation Is Associated with Plant Galling Habit. Molecular Biology and Evolution. 41(9). 3 indexed citations
6.
Percy, Diana M., et al.. (2023). Establishing reliable DNA barcoding primers for jumping plant lice (Psylloidea, Hemiptera). BMC Research Notes. 16(1). 322–322. 3 indexed citations
7.
Sanderson, Brian J., Guanqiao Feng, Nan Hu, et al.. (2023). Phylogenomics reveals patterns of ancient hybridization and differential diversification that contribute to phylogenetic conflict in willows, poplars, and close relatives. Systematic Biology. 72(6). 1220–1232. 15 indexed citations
8.
Burckhardt, Daniel, et al.. (2023). Phylogeny and classification of jumping plant lice of the subfamily Liviinae (Hemiptera: Psylloidea: Liviidae) based on molecular and morphological data. Zoological Journal of the Linnean Society. 201(2). 387–421. 12 indexed citations
10.
Sun, Penglin, et al.. (2021). Uncovering Symbionts Across the Psyllid Tree of Life and the Discovery of a New Liberibacter Species, “Candidatus” Liberibacter capsica. Frontiers in Microbiology. 12. 739763–739763. 20 indexed citations
11.
Percy, Diana M. & Quentin Cronk. (2020). Salix transect of Europe: patterns in the distribution of willow-feeding psyllids (Hemiptera: Psylloidea) from Greece to arctic Norway. ZooKeys. 8. e53788–e53788. 5 indexed citations
12.
Ruzzier, Enrico, et al.. (2019). Salix transect of Europe: additional leaf beetle (Chrysomelidae) records and insights from chrysomelid DNA barcoding. Biodiversity Data Journal. 7. e46663–e46663. 2 indexed citations
14.
Rominger, Andrew J., Kari Roesch Goodman, Jun Ying Lim, et al.. (2015). Community assembly on isolated islands: macroecology meets evolution. Global Ecology and Biogeography. 25(7). 769–780. 49 indexed citations
15.
Burgess, Kevin S., Aron J. Fazekas, Prasad Kesanakurti, et al.. (2011). Discriminating plant species in a local temperate flora using the rbcL+matK DNA barcode. Methods in Ecology and Evolution. 2(4). 333–340. 143 indexed citations
16.
Fazekas, Aron J., Prasad Kesanakurti, Kevin S. Burgess, et al.. (2009). Are plant species inherently harder to discriminate than animal species using DNA barcoding markers?. Molecular Ecology Resources. 9(s1). 130–139. 223 indexed citations
17.
Percy, Diana M., Warren L. Wagner, Helen F. James, et al.. (2008). Progressive island colonization and ancient origin of Hawaiian Metrosideros (Myrtaceae). Proceedings of the Royal Society B Biological Sciences. 275(1642). 1479–1490. 84 indexed citations
18.
Fazekas, Aron J., Kevin S. Burgess, Prasad Kesanakurti, et al.. (2008). Multiple Multilocus DNA Barcodes from the Plastid Genome Discriminate Plant Species Equally Well. PLoS ONE. 3(7). e2802–e2802. 544 indexed citations breakdown →
20.
Percy, Diana M. & Quentin Cronk. (2002). Different fates of island brooms: contrasting evolution in Adenocarpus, Genista, and Teline (Genisteae, Fabaceae) in the Canary Islands and Madeira. American Journal of Botany. 89(5). 854–864. 61 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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