Alison J. Popay

3.1k total citations
102 papers, 2.3k citations indexed

About

Alison J. Popay is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Molecular Biology. According to data from OpenAlex, Alison J. Popay has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Ecology, Evolution, Behavior and Systematics, 31 papers in Insect Science and 26 papers in Molecular Biology. Recurrent topics in Alison J. Popay's work include Plant and fungal interactions (87 papers), Botanical Research and Chemistry (50 papers) and Plant Toxicity and Pharmacological Properties (26 papers). Alison J. Popay is often cited by papers focused on Plant and fungal interactions (87 papers), Botanical Research and Chemistry (50 papers) and Plant Toxicity and Pharmacological Properties (26 papers). Alison J. Popay collaborates with scholars based in New Zealand, Australia and United Kingdom. Alison J. Popay's co-authors include B.A. Tapper, D.E. Hume, Sarah C. Finch, E. R. Thom, Barry Scott, Aiko Tanaka, Emily J. Parker, L.R. Fletcher, S.L. Goldson and J. R. Caradus and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Journal of Ecology.

In The Last Decade

Alison J. Popay

97 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison J. Popay New Zealand 28 1.7k 774 657 458 271 102 2.3k
D.E. Hume New Zealand 25 1.4k 0.8× 582 0.8× 600 0.9× 153 0.3× 244 0.9× 101 2.0k
R.A. Prestidge New Zealand 18 1.0k 0.6× 362 0.5× 340 0.5× 348 0.8× 185 0.7× 65 1.3k
Judith Fehrer Czechia 23 1.0k 0.6× 495 0.6× 1.1k 1.7× 124 0.3× 223 0.8× 48 1.7k
Adrian Leuchtmann Switzerland 36 3.9k 2.3× 1.7k 2.3× 2.0k 3.0× 285 0.6× 1.6k 6.1× 117 4.8k
Xiaohong Yao China 18 1.4k 0.8× 1.5k 2.0× 1.4k 2.1× 79 0.2× 275 1.0× 67 3.0k
M. D. Loveless United States 10 1.2k 0.7× 393 0.5× 1.0k 1.6× 108 0.2× 100 0.4× 11 2.2k
R. Lumaret France 30 1.3k 0.8× 799 1.0× 1.7k 2.5× 82 0.2× 232 0.9× 72 2.8k
R. van Treuren Netherlands 31 1.0k 0.6× 644 0.8× 1.9k 2.9× 91 0.2× 119 0.4× 78 3.0k
Marie Duhamel Netherlands 9 522 0.3× 380 0.5× 2.4k 3.7× 414 0.9× 436 1.6× 14 2.9k
Diane R. Elam United States 8 1.4k 0.8× 509 0.7× 1.2k 1.8× 129 0.3× 113 0.4× 8 2.7k

Countries citing papers authored by Alison J. Popay

Since Specialization
Citations

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

Fields of papers citing papers by Alison J. Popay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison J. Popay. 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 Alison J. Popay. The network helps show where Alison J. Popay may publish in the future.

Co-authorship network of co-authors of Alison J. Popay

This figure shows the co-authorship network connecting the top 25 collaborators of Alison J. Popay. A scholar is included among the top collaborators of Alison J. Popay 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 Alison J. Popay. Alison J. Popay 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.
Hofmann, Rainer, et al.. (2025). Phosphorus induced changes in food quality enhance porina fitness feeding on Epichloë endophyte free forage grasses. Scientific Reports. 15(1). 6448–6448. 2 indexed citations
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Popay, Alison J., et al.. (2024). Epichloë fungal endophyte strains and their Lolium hosts affect resistance to Listronotus bonariensis (Coleoptera: Curculionidae). New Zealand Journal of Agricultural Research. 68(5). 997–1016.
4.
Popay, Alison J., et al.. (2023). Translocation of Loline Alkaloids in Epichloë-Infected Cereal and Pasture Grasses: What the Insects Tell Us. Journal of Fungi. 9(1). 96–96. 3 indexed citations
5.
Cibils‐Stewart, Ximena, Richard Wuhrer, Wade J. Mace, et al.. (2023). Silicon and Epichloë‐endophyte defences in a model temperate grass diminish feeding efficiency and immunity of an insect folivore. Functional Ecology. 37(12). 3177–3192. 7 indexed citations
6.
Hofmann, Rainer, et al.. (2023). Root aphid (Aploneura lentisci) population size on perennial ryegrass is determined by drought and endophyte strain. Journal of Pest Science. 97(1). 369–384. 5 indexed citations
7.
Cibils‐Stewart, Ximena, Wade J. Mace, Alison J. Popay, et al.. (2021). Interactions between silicon and alkaloid defences in endophyte‐infected grasses and the consequences for a folivore. Functional Ecology. 36(1). 249–261. 13 indexed citations
8.
Caradus, J. R., Stuart D. Card, Sarah C. Finch, et al.. (2020). Ergot alkaloids in New Zealand pastures and their impact. New Zealand Journal of Agricultural Research. 65(1). 1–41. 26 indexed citations
9.
Chapman, D. F., J. R. Crush, Julia M. Lee, et al.. (2018). Implications of grass–clover interactions in dairy pastures for forage value indexing systems. 6. Cross‐site analysis and general discussion. New Zealand Journal of Agricultural Research. 61(2). 255–284. 11 indexed citations
10.
Ferguson, C.M., B.I.P. Barratt, N.L. Bell, et al.. (2018). Quantifying the economic cost of invertebrate pests to New Zealand’s pastoral industry. New Zealand Journal of Agricultural Research. 62(3). 255–315. 66 indexed citations
11.
Cosgrove, G.P., et al.. (2018). Implications of grass–clover interactions in dairy pastures for forage indexing systems. 3. Manawatu. New Zealand Journal of Agricultural Research. 61(2). 174–203. 6 indexed citations
12.
Chapman, D. F., Laura Rossi, Julia M. Lee, et al.. (2018). Implications of grass‐clover interactions in dairy pastures for forage indexing systems. 4. Canterbury. New Zealand Journal of Agricultural Research. 61(2). 204–229. 6 indexed citations
13.
Lee, Julia M., et al.. (2017). Implications of grass–clover interactions in dairy pastures for forage value indexing systems. 2. Waikato. New Zealand Journal of Agricultural Research. 61(2). 147–173. 8 indexed citations
14.
Chapman, D. F., Julia M. Lee, Laura Rossi, et al.. (2017). Implications of grass–clover interactions in dairy pastures for forage value indexing systems. 1. Context and rationale. New Zealand Journal of Agricultural Research. 61(2). 119–146. 9 indexed citations
15.
Goldson, S.L., Eckehard G. Brockerhoff, Mick N. Clout, et al.. (2015). New Zealand pest management: current and future challenges. Journal of the Royal Society of New Zealand. 45(1). 31–58. 77 indexed citations
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Crush, J. R., Alison J. Popay, & J. E. Waller. (2004). Effect of different Neotyphodium endophytes on root distribution of a perennial ryegrass (Lolium perenne L.) cultivar. New Zealand Journal of Agricultural Research. 47(3). 345–349. 27 indexed citations
19.
Popay, Alison J., D.E. Hume, Ken Davis, & B.A. Tapper. (2003). Interactions between endophyte ( Neotyphodium spp.) and ploidy in hybrid and perennial ryegrass cultivars and their effects on Argentine stem weevil ( Listronotus bonariensis ). New Zealand Journal of Agricultural Research. 46(4). 311–319. 39 indexed citations
20.
Popay, Alison J., et al.. (1995). Field resistance to Argentine stem weevil (Listronotus bonariensis) in different ryegrass cultivars infected with an endophyte deficient in lolitrem B. New Zealand Journal of Agricultural Research. 38(4). 519–528. 25 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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