Robert M. Cox

4.7k total citations
79 papers, 3.2k citations indexed

About

Robert M. Cox is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Ecology. According to data from OpenAlex, Robert M. Cox has authored 79 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Ecology, Evolution, Behavior and Systematics, 52 papers in Global and Planetary Change and 16 papers in Ecology. Recurrent topics in Robert M. Cox's work include Animal Behavior and Reproduction (64 papers), Amphibian and Reptile Biology (52 papers) and Plant and animal studies (40 papers). Robert M. Cox is often cited by papers focused on Animal Behavior and Reproduction (64 papers), Amphibian and Reptile Biology (52 papers) and Plant and animal studies (40 papers). Robert M. Cox collaborates with scholars based in United States, Sweden and Netherlands. Robert M. Cox's co-authors include Ryan Calsbeek, Henry B. John‐Alder, Christian L. Cox, Ariel F. Kahrl, Joel W. McGlothlin, Michael L. Logan, Frances Bonier, Tim Connallon, Elizabeth U. Parker and Aaron M. Reedy and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert M. Cox

76 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert M. Cox United States 32 2.4k 1.5k 985 839 379 79 3.2k
Tracy Langkilde United States 28 1.8k 0.7× 1.3k 0.9× 885 0.9× 589 0.7× 271 0.7× 127 2.7k
Patrick S. Fitze Spain 34 2.2k 0.9× 848 0.5× 1.4k 1.4× 597 0.7× 316 0.8× 88 3.3k
Erik Wapstra Australia 37 2.9k 1.2× 2.0k 1.3× 1.3k 1.3× 980 1.2× 446 1.2× 169 4.2k
Ryan Calsbeek United States 35 2.6k 1.1× 1.6k 1.0× 1.1k 1.2× 1.3k 1.5× 675 1.8× 72 3.7k
Simon P. Lailvaux United States 26 1.7k 0.7× 1.3k 0.8× 731 0.7× 540 0.6× 228 0.6× 72 2.3k
Jerry F. Husak United States 30 2.6k 1.1× 1.8k 1.2× 1.2k 1.3× 538 0.6× 237 0.6× 87 3.4k
Sandrine Meylan France 31 2.1k 0.9× 1.4k 0.9× 1.6k 1.6× 478 0.6× 479 1.3× 73 3.3k
Gábor Herczeg Hungary 36 2.2k 0.9× 1.3k 0.9× 1.1k 1.1× 889 1.1× 288 0.8× 133 3.6k
Valentín Pérez‐Mellado Spain 30 1.6k 0.7× 1.6k 1.1× 787 0.8× 472 0.6× 901 2.4× 144 2.6k
Paolo Galeotti Italy 32 2.1k 0.9× 777 0.5× 1.4k 1.4× 394 0.5× 238 0.6× 85 3.0k

Countries citing papers authored by Robert M. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert M. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Cox. A scholar is included among the top collaborators of Robert M. Cox 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 Robert M. Cox. Robert M. Cox 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.
Schwartz, Tonia S., et al.. (2025). DNA methylation–based age prediction and sex-specific epigenetic aging in a lizard with female-biased longevity. Science Advances. 11(5). eadq3589–eadq3589.
2.
Reedy, Aaron M., et al.. (2025). Sex-specific consequences of juvenile dispersal for survival and reproduction in an island lizard. Behavioral Ecology. 36(5). 1 indexed citations
3.
4.
Cox, Christian L., et al.. (2023). Species differences in hormonally mediated gene expression underlie the evolutionary loss of sexually dimorphic coloration inSceloporuslizards. Journal of Heredity. 114(6). 637–653. 3 indexed citations
5.
Dantzer, Ben, Karen E. Mabry, Joey R. Bernhardt, et al.. (2023). Understanding Organisms Using Ecological Observatory Networks. Integrative Organismal Biology. 5(1). obad036–obad036. 2 indexed citations
6.
Reedy, Aaron M., et al.. (2023). Behavioral estimates of mating success corroborate genetic evidence for pre-copulatory selection. Behavioral Ecology. 35(1). 2 indexed citations
7.
Fargevieille, Amélie, Aaron M. Reedy, Ariel F. Kahrl, et al.. (2022). Propagule size and sex ratio influence colonisation dynamics after introduction of a non‐native lizard. Journal of Animal Ecology. 91(4). 845–857. 3 indexed citations
8.
Cox, Robert M., et al.. (2022). Experimental removal of nematode parasites increases growth, sprint speed, and mating success in brown anole lizards. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 337(8). 852–866. 4 indexed citations
9.
Cox, Robert M., et al.. (2021). The evolution of monogamy is associated with reversals from male to female bias in the survival cost of parasitism. Proceedings of the Royal Society B Biological Sciences. 288(1950). 20210421–20210421. 2 indexed citations
10.
Telemeco, Rory S., Mariana B. Grizante, Damien S. Waits, et al.. (2021). A chromosome-level genome assembly for the eastern fence lizard ( Sceloporus undulatus ), a reptile model for physiological and evolutionary ecology. GigaScience. 10(10). 19 indexed citations
11.
McGlothlin, Joel W., et al.. (2021). Hormonal pleiotropy structures genetic covariance. Evolution Letters. 5(4). 397–407. 24 indexed citations
12.
Cox, Robert M., et al.. (2021). Reproductive trade‐offs and phenotypic selection change with body condition, but not with predation regime, across island lizard populations. Journal of Evolutionary Biology. 35(3). 365–378. 3 indexed citations
13.
Bonier, Frances & Robert M. Cox. (2019). Do hormone manipulations reduce fitness? A meta-analytic test of the Optimal Endocrine Phenotype Hypothesis. Molecular and Cellular Endocrinology. 500. 110640–110640. 23 indexed citations
14.
McGlothlin, Joel W., Robert M. Cox, & Edmund D. Brodie. (2019). Sex-Specific Selection and the Evolution of Between-Sex Genetic Covariance. Journal of Heredity. 110(4). 422–432. 24 indexed citations
15.
Kahrl, Ariel F., Michele A. Johnson, & Robert M. Cox. (2019). Rapid evolution of testis size relative to sperm morphology suggests that post‐copulatory selection targets sperm number in Anolis lizards. Journal of Evolutionary Biology. 32(4). 302–309. 11 indexed citations
16.
Cox, Robert M.. (2019). Sex steroids as mediators of phenotypic integration, genetic correlations, and evolutionary transitions. Molecular and Cellular Endocrinology. 502. 110668–110668. 31 indexed citations
17.
Cox, Robert M., et al.. (2017). Multivariate genetic architecture of the Anolis dewlap reveals both shared and sex‐specific features of a sexually dimorphic ornament. Journal of Evolutionary Biology. 30(7). 1262–1275. 21 indexed citations
18.
Cox, Robert M., Matthew B. Lovern, & Ryan Calsbeek. (2014). Experimentally decoupling reproductive investment from energy storage to test the functional basis of a life‐history trade‐off. Journal of Animal Ecology. 83(4). 888–898. 19 indexed citations
19.
Cox, Robert M.. (2013). Odd Couples • Daphne J Fairbairn. 34(1).
20.
Cox, Robert M., et al.. (2010). Experimental evidence for physiological costs underlying the trade‐off between reproduction and survival. Functional Ecology. 24(6). 1262–1269. 133 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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