Keyne Monro

1.9k total citations
60 papers, 1.3k citations indexed

About

Keyne Monro is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Oceanography. According to data from OpenAlex, Keyne Monro has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, Evolution, Behavior and Systematics, 30 papers in Ecology and 28 papers in Oceanography. Recurrent topics in Keyne Monro's work include Animal Behavior and Reproduction (20 papers), Marine and coastal plant biology (18 papers) and Marine Biology and Ecology Research (14 papers). Keyne Monro is often cited by papers focused on Animal Behavior and Reproduction (20 papers), Marine and coastal plant biology (18 papers) and Marine Biology and Ecology Research (14 papers). Keyne Monro collaborates with scholars based in Australia, United States and France. Keyne Monro's co-authors include Dustin J. Marshall, Robert R. Warner, John M. Pandolfi, Philip L. Munday, Alistair G. B. Poore, Stephen E. Swearer, Michael Bode, Michael J. Keough, Carla M. Sgrò and Angela J. Crean and has published in prestigious journals such as Ecology, The American Naturalist and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Keyne Monro

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keyne Monro Australia 19 719 503 486 382 242 60 1.3k
Lisa N. S. Shama Germany 18 754 1.0× 329 0.7× 281 0.6× 394 1.0× 285 1.2× 29 1.3k
Stefano Taiti Italy 21 837 1.2× 306 0.6× 653 1.3× 309 0.8× 253 1.0× 119 1.4k
August Hämmerli Germany 8 587 0.8× 217 0.4× 484 1.0× 285 0.7× 311 1.3× 9 1.1k
Carol A. Simon South Africa 23 846 1.2× 1.1k 2.1× 697 1.4× 514 1.3× 105 0.4× 77 1.6k
Glauco Machado Brazil 19 472 0.7× 389 0.8× 173 0.4× 339 0.9× 255 1.1× 44 1.1k
Chester J. Sands United Kingdom 22 762 1.1× 265 0.5× 580 1.2× 431 1.1× 160 0.7× 57 1.3k
Rémy Rochette Canada 22 947 1.3× 890 1.8× 467 1.0× 233 0.6× 355 1.5× 64 1.6k
W. Wesley Dowd United States 19 827 1.2× 491 1.0× 405 0.8× 167 0.4× 156 0.6× 36 1.2k
Colin L. McLay New Zealand 22 1.1k 1.6× 589 1.2× 392 0.8× 192 0.5× 118 0.5× 101 1.4k
Elizabeth P. Dahlhoff United States 22 1.2k 1.6× 569 1.1× 686 1.4× 299 0.8× 447 1.8× 34 1.9k

Countries citing papers authored by Keyne Monro

Since Specialization
Citations

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

Fields of papers citing papers by Keyne Monro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyne Monro

This figure shows the co-authorship network connecting the top 25 collaborators of Keyne Monro. A scholar is included among the top collaborators of Keyne Monro 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 Keyne Monro. Keyne Monro 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.
Howells, Emily J., David Abrego, Sebastian Schmidt‐Roach, et al.. (2025). Marine heatwaves select for thermal tolerance in a reef-building coral. Nature Climate Change. 15(8). 829–832. 1 indexed citations
2.
Hodgins, Kathryn A., et al.. (2025). A phased chromosome-level genome of the annelid tubeworm Galeolaria caespitosa. Journal of Heredity. 116(5). 702–712.
3.
Chevin, Luis‐Miguel, et al.. (2024). Predicting adaptation and evolution of plasticity from temporal environmental change. Methods in Ecology and Evolution. 16(1). 84–96. 3 indexed citations
4.
Alton, Lesley A., Candice L. Bywater, Pieter A. Arnold, et al.. (2024). Temperature and nutrition do not interact to shape the evolution of metabolic rate. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1896). 20220484–20220484. 7 indexed citations
5.
Hall, Matthew D., et al.. (2024). Evolution of “invasion syndrome” in invasive goldenrod is not constrained by genetic trade‐offs. Evolutionary Applications. 17(7). e13734–e13734. 1 indexed citations
6.
Hodgins, Kathryn A., et al.. (2024). Temperature and sex shape reproductive barriers in a climate change hotspot. Evolution. 78(5). 906–918. 2 indexed citations
7.
Wu, Tong, Davaatseren Baatar, Moira K. O’Bryan, et al.. (2023). Exome-informed formulations of food proteins enhance body growth and feed conversion efficiency in ad libitum-fed mice. Food Research International. 176. 113819–113819. 2 indexed citations
8.
Hodgins, Kathryn A., et al.. (2023). Climate adaptation and vulnerability of foundation species in a global change hotspot. Molecular Ecology. 32(8). 1990–2004. 5 indexed citations
9.
Sgrò, Carla M., et al.. (2023). When is warmer better? Disentangling within‐ and between‐generation effects of thermal history on early survival. Functional Ecology. 37(9). 2488–2499. 2 indexed citations
10.
Walter, Greg M., Keyne Monro, Enrico La Spina, et al.. (2023). Environmental effects on genetic variance are likely to constrain adaptation in novel environments. Evolution Letters. 8(3). 374–386. 6 indexed citations
12.
Sgrò, Carla M., et al.. (2021). Thermal Performance Curves Are Shaped by Prior Thermal Environment in Early Life. Frontiers in Physiology. 12. 738338–738338. 16 indexed citations
13.
Janion‐Scheepers, Charlene, et al.. (2020). Constant and fluctuating temperature acclimations have similar effects on phenotypic plasticity in springtails. Journal of Thermal Biology. 93. 102690–102690. 7 indexed citations
14.
Wright, Jeffrey T., Paul E. Gribben, James E. Byers, & Keyne Monro. (2012). Invasive ecosystem engineer selects for different phenotypes of an associated native species. Ecology. 93(6). 1262–1268. 19 indexed citations
15.
Bonser, Stephen P., Brenton Ladd, Keyne Monro, Matthew D. Hall, & Michael A. Forster. (2010). The adaptive value of functional and life-history traits across fertility treatments in an annual plant. Annals of Botany. 106(6). 979–988. 25 indexed citations
16.
Marshall, Dustin J., Keyne Monro, Michael Bode, Michael J. Keough, & Stephen E. Swearer. (2009). Phenotype–environment mismatches reduce connectivity in the sea. Ecology Letters. 13(1). 128–140. 220 indexed citations
17.
Monro, Keyne & Alistair G. B. Poore. (2009). THE EVOLVABILITY OF GROWTH FORM IN A CLONAL SEAWEED. Evolution. 63(12). 3147–3157. 8 indexed citations
18.
Monro, Keyne & Alistair G. B. Poore. (2008). The Potential for Evolutionary Responses to Cell‐Lineage Selection on Growth Form and Its Plasticity in a Red Seaweed. The American Naturalist. 173(2). 151–163. 22 indexed citations
19.
Monro, Keyne & Alistair G. B. Poore. (2004). Selection in Modular Organisms: Is Intraclonal Variation in Macroalgae Evolutionarily Important?. The American Naturalist. 163(4). 564–578. 26 indexed citations
20.
Monro, Keyne & Alistair G. B. Poore. (2004). Light quantity and quality induce shade‐avoiding plasticity in a marine macroalga. Journal of Evolutionary Biology. 18(2). 426–435. 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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