John R. Cooley

1.9k total citations
47 papers, 1.2k citations indexed

About

John R. Cooley is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecological Modeling. According to data from OpenAlex, John R. Cooley has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ecology, Evolution, Behavior and Systematics, 16 papers in Genetics and 13 papers in Ecological Modeling. Recurrent topics in John R. Cooley's work include Plant and animal studies (37 papers), Animal Behavior and Reproduction (13 papers) and Species Distribution and Climate Change (13 papers). John R. Cooley is often cited by papers focused on Plant and animal studies (37 papers), Animal Behavior and Reproduction (13 papers) and Species Distribution and Climate Change (13 papers). John R. Cooley collaborates with scholars based in United States, Japan and New Zealand. John R. Cooley's co-authors include David C. Marshall, Chris Simon, Kathy B. R. Hill, Teiji Sota, Jin Yoshimura, Kathryn Fontaine, Christopher J. Ehrhardt, Hu Li, M. S. Moulds and Wanzhi Cai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

John R. Cooley

44 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John R. Cooley 844 456 298 230 203 47 1.2k
Kathleen L. Prudic 885 1.0× 469 1.0× 272 0.9× 194 0.8× 252 1.2× 33 1.3k
Donald K. Price 903 1.1× 600 1.3× 380 1.3× 430 1.9× 71 0.3× 58 1.5k
Jes Johannesen 748 0.9× 674 1.5× 439 1.5× 390 1.7× 122 0.6× 63 1.5k
Aaron A. Comeault 666 0.8× 958 2.1× 227 0.8× 280 1.2× 93 0.5× 35 1.5k
Henry S. Pollock 704 0.8× 488 1.1× 564 1.9× 313 1.4× 148 0.7× 41 1.1k
Alejandro Zaldívar‐Riverón 1.1k 1.4× 449 1.0× 898 3.0× 436 1.9× 127 0.6× 130 1.7k
Julie Jaquiéry 477 0.6× 525 1.2× 535 1.8× 248 1.1× 86 0.4× 37 1.2k
Patrick D. Lorch 806 1.0× 561 1.2× 336 1.1× 435 1.9× 98 0.5× 35 1.4k
Chris J. Burwell 641 0.8× 263 0.6× 194 0.7× 354 1.5× 242 1.2× 65 951
Jeffrey H. Skevington 1.2k 1.4× 339 0.7× 714 2.4× 297 1.3× 95 0.5× 90 1.5k

Countries citing papers authored by John R. Cooley

Since Specialization
Citations

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

Fields of papers citing papers by John R. Cooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Cooley. 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 John R. Cooley. The network helps show where John R. Cooley may publish in the future.

Co-authorship network of co-authors of John R. Cooley

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Cooley. A scholar is included among the top collaborators of John R. Cooley 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 John R. Cooley. John R. Cooley 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.
Saito, Norihiro, Satoshi Yamamoto, Satoshi Kakishima, et al.. (2025). When and how do 17-year periodical cicada nymphs decide to emerge? A field test of the 4-year-gate hypothesis. Proceedings of the Royal Society B Biological Sciences. 292(2053). 20251306–20251306. 1 indexed citations
2.
Rabajante, Jomar F., Takuya Okabe, Satoru Morita, et al.. (2024). Predation-driven geographical isolation of broods in periodical cicadas. Scientific Reports. 14(1). 27071–27071.
3.
4.
Brumfield, Kyle D., Michael J. Raupp, Chris Simon, et al.. (2022). Gut microbiome insights from 16S rRNA analysis of 17-year periodical cicadas (Hemiptera: Magicicada spp.) Broods II, VI, and X. Scientific Reports. 12(1). 16967–16967. 15 indexed citations
5.
Lovett, Brian, Angie M. Macias, Jason Stajich, et al.. (2020). Behavioral betrayal: How select fungal parasites enlist living insects to do their bidding. PLoS Pathogens. 16(6). e1008598–e1008598. 28 indexed citations
6.
7.
Marshall, David C., M. S. Moulds, Kathy B. R. Hill, et al.. (2018). A molecular phylogeny of the cicadas (Hemiptera: Cicadidae) with a review of tribe and subfamily classification. Zootaxa. 4424(1). 1–64. 68 indexed citations
8.
Cooley, John R., David C. Marshall, & Kathy B. R. Hill. (2018). A specialized fungal parasite (Massospora cicadina) hijacks the sexual signals of periodical cicadas (Hemiptera: Cicadidae: Magicicada). Scientific Reports. 8(1). 1432–1432. 33 indexed citations
9.
Cooley, John R., et al.. (2017). New Records of Michigan Cicadidae (Homoptera), With Notes on the Use of Songs to Monitor Range Changes. The Great Lakes Entomologist. 29(3).
10.
Kritsky, Gene, Chris Simon, Stephen M. Chiswell, et al.. (2017). Evolution and Geographic Extent of a Surprising Northern Disjunct Population of 13-Year Cicada Brood XXII (Hemiptera: Cicadidae,Magicicada). American Entomologist. 63(4). E15–E20. 3 indexed citations
11.
Koyama, T, Hiromu Ito, Satoshi Kakishima, et al.. (2015). Geographic body size variation in the periodical cicadas Magicicada : implications for life cycle divergence and local adaptation. Journal of Evolutionary Biology. 28(6). 1270–1277. 14 indexed citations
12.
Ito, Hiromu, Satoshi Kakishima, Satoru Morita, et al.. (2015). Evolution of periodicity in periodical cicadas. Scientific Reports. 5(1). 14094–14094. 11 indexed citations
13.
Marshall, David C., Kathy B. R. Hill, M. S. Moulds, et al.. (2015). Inflation of Molecular Clock Rates and Dates: Molecular Phylogenetics, Biogeography, and Diversification of a Global Cicada Radiation from Australasia (Hemiptera: Cicadidae: Cicadettini). Systematic Biology. 65(1). 16–34. 40 indexed citations
14.
Sota, Teiji, Satoshi Yamamoto, John R. Cooley, et al.. (2013). Independent divergence of 13- and 17-y life cycles among three periodical cicada lineages. Proceedings of the National Academy of Sciences. 110(17). 6919–6924. 44 indexed citations
15.
Cooley, John R., Gene Kritsky, Marten J. Edwards, et al.. (2011). Periodical cicadas (Magicicada spp.): A GIS-based map of Broods XIV in 2008 and “XV” in 2009. American Entomologist. 57(3). 144–151. 14 indexed citations
16.
Marshall, David C., et al.. (2008). Steady Plio-Pleistocene diversification and a 2-million-year sympatry threshold in a New Zealand cicada radiation. Molecular Phylogenetics and Evolution. 48(3). 1054–1066. 54 indexed citations
17.
Fontaine, Kathryn, John R. Cooley, & Chris Simon. (2007). Evidence for Paternal Leakage in Hybrid Periodical Cicadas (Hemiptera: Magicicada spp.). PLoS ONE. 2(9). e892–e892. 54 indexed citations
18.
Cooley, John R., Chris Simon, & David C. Marshall. (2003). Temporal Separation and Speciation in Periodical Cicadas. BioScience. 53(2). 151–151. 26 indexed citations
19.
20.
Marshall, David C. & John R. Cooley. (2000). REPRODUCTIVE CHARACTER DISPLACEMENT AND SPECIATION IN PERIODICAL CICADAS, WITH DESCRIPTION OF A NEW SPECIES, 13-YEAR MAGICICADA NEOTREDECIM. Evolution. 54(4). 1313–1325. 182 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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