Kate M. Quigley

2.7k total citations · 1 hit paper
46 papers, 1.4k citations indexed

About

Kate M. Quigley is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Kate M. Quigley has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, 24 papers in Oceanography and 23 papers in Global and Planetary Change. Recurrent topics in Kate M. Quigley's work include Coral and Marine Ecosystems Studies (41 papers), Marine and coastal plant biology (22 papers) and Marine and fisheries research (21 papers). Kate M. Quigley is often cited by papers focused on Coral and Marine Ecosystems Studies (41 papers), Marine and coastal plant biology (22 papers) and Marine and fisheries research (21 papers). Kate M. Quigley collaborates with scholars based in Australia, United States and United Kingdom. Kate M. Quigley's co-authors include Line K. Bay, Bette L. Willis, Madeleine J. H. van Oppen, David G. Bourne, Christian R. Voolstra, Carly D. Kenkel, David J. Suggett, Margaux Y. Hein, Peter L. Harrison and Russell C. Babcock and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kate M. Quigley

40 papers receiving 1.4k citations

Hit Papers

Nutrient Availability and... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate M. Quigley Australia 19 1.3k 822 557 128 112 46 1.4k
Emily J. Howells Australia 21 1.5k 1.2× 1.0k 1.2× 705 1.3× 101 0.8× 109 1.0× 33 1.7k
Vivian R. Cumbo Australia 20 1.1k 0.8× 853 1.0× 592 1.1× 77 0.6× 55 0.5× 29 1.3k
Benjamin C. C. Hume Germany 19 1.5k 1.1× 1.1k 1.3× 418 0.8× 172 1.3× 103 0.9× 38 1.6k
Ross Cunning United States 24 1.9k 1.4× 1.4k 1.7× 590 1.1× 246 1.9× 148 1.3× 47 2.0k
Crawford Drury United States 21 1.1k 0.8× 717 0.9× 562 1.0× 144 1.1× 103 0.9× 51 1.2k
Shashank Keshavmurthy Taiwan 20 967 0.7× 679 0.8× 406 0.7× 104 0.8× 58 0.5× 51 1.1k
Stephanie Schopmeyer United States 21 1.4k 1.1× 1.0k 1.2× 692 1.2× 70 0.5× 80 0.7× 29 1.6k
Nanette E. Chadwick United States 18 861 0.7× 423 0.5× 361 0.6× 100 0.8× 81 0.7× 32 968
Karin E. Ulstrup Australia 19 1.2k 0.9× 839 1.0× 385 0.7× 132 1.0× 134 1.2× 20 1.2k
Dustin W. Kemp United States 20 1.3k 1.0× 980 1.2× 459 0.8× 114 0.9× 94 0.8× 40 1.4k

Countries citing papers authored by Kate M. Quigley

Since Specialization
Citations

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

Fields of papers citing papers by Kate M. Quigley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate M. Quigley

This figure shows the co-authorship network connecting the top 25 collaborators of Kate M. Quigley. A scholar is included among the top collaborators of Kate M. Quigley 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 Kate M. Quigley. Kate M. Quigley 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.
Cheok, Jessica, Katarina Damjanovic, Patrick W. Laffy, et al.. (2025). Assessing the potential for “assisted gene flow” to enhance heat tolerance of multiple coral genera over three key phenotypic traits. Biological Conservation. 306. 111155–111155.
2.
Kenkel, Carly D., et al.. (2025). Symbiont Community Changes Confer Fitness Benefits for Larvae in a Vertically Transmitting Coral. Ecology and Evolution. 15(1). e70839–e70839.
3.
Smith, Michael D., et al.. (2024). The Satellite Account Approach for Measuring the US Marine Economy. Marine Resource Economics. 39(2). 101–122. 2 indexed citations
4.
Madin, Joshua S., Mike McWilliam, Kate M. Quigley, et al.. (2023). Selecting coral species for reef restoration. Journal of Applied Ecology. 60(8). 1537–1544. 20 indexed citations
5.
Quigley, Kate M., et al.. (2023). Heat-evolved microalgal symbionts increase thermal bleaching tolerance of coral juveniles without a trade-off against growth. Coral Reefs. 42(6). 1227–1232. 15 indexed citations
6.
Shaver, Elizabeth C., Elizabeth Mcleod, Margaux Y. Hein, et al.. (2022). A roadmap to integrating resilience into the practice of coral reef restoration. Global Change Biology. 28(16). 4751–4764. 56 indexed citations
7.
Hobbs, Rebecca J., Justine K. O’Brien, Line K. Bay, et al.. (2022). A decade of coral biobanking science in Australia - transitioning into applied reef restoration. Frontiers in Marine Science. 9. 10 indexed citations
8.
Quigley, Kate M., et al.. (2022). Predicting selection–response gradients of heat tolerance in a widespread reef-building coral. Journal of Experimental Biology. 225(Suppl_1). 4 indexed citations
9.
Quigley, Kate M.. (2022). A fast, precise, in‐vivo method for micron‐level 3D models of corals using dental scanners. Methods in Ecology and Evolution. 13(10). 2159–2166. 2 indexed citations
10.
Quigley, Kate M., Blake D. Ramsby, Patrick W. Laffy, et al.. (2022). Symbioses are restructured by repeated mass coral bleaching. Science Advances. 8(49). eabq8349–eabq8349. 24 indexed citations
11.
Quigley, Kate M. & Madeleine J. H. van Oppen. (2022). Predictive models for the selection of thermally tolerant corals based on offspring survival. Nature Communications. 13(1). 1543–1543. 29 indexed citations
12.
Torda, Gergely & Kate M. Quigley. (2022). Drivers of adaptive capacity in wild populations: Implications for genetic interventions. Frontiers in Marine Science. 9. 7 indexed citations
13.
Voolstra, Christian R., David J. Suggett, Raquel S. Peixoto, et al.. (2021). Extending the natural adaptive capacity of coral holobionts. Nature Reviews Earth & Environment. 2(11). 747–762. 123 indexed citations
16.
Quigley, Kate M., Carly J. Randall, Madeleine J. H. van Oppen, & Line K. Bay. (2020). Assessing the role of historical temperature regime and algal symbionts on the heat tolerance of coral juveniles. Biology Open. 9(1). 43 indexed citations
17.
Voolstra, Christian R., et al.. (2019). Nutrient Availability and Metabolism Affect the Stability of Coral–Symbiodiniaceae Symbioses. Trends in Microbiology. 27(8). 678–689. 208 indexed citations breakdown →
18.
Quigley, Kate M., Marie E. Strader, & Mikhail V. Matz. (2018). Relationship between Acropora millepora juvenile fluorescence and composition of newly established Symbiodinium assemblage. PeerJ. 6. e5022–e5022. 5 indexed citations
19.
Quigley, Kate M., Line K. Bay, & BL Willis. (2018). Leveraging new knowledge of Symbiodinium community regulation in corals for conservation and reef restoration. Marine Ecology Progress Series. 600. 245–253. 17 indexed citations
20.
Quigley, Kate M., et al.. (2018). Unexpected mixed-mode transmission and moderate genetic regulation of Symbiodinium communities in a brooding coral. Heredity. 121(6). 524–536. 44 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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