Molly E. Cummings

4.7k total citations
79 papers, 3.4k citations indexed

About

Molly E. Cummings is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Cellular and Molecular Neuroscience. According to data from OpenAlex, Molly E. Cummings has authored 79 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Ecology, Evolution, Behavior and Systematics, 26 papers in Global and Planetary Change and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Molly E. Cummings's work include Animal Behavior and Reproduction (59 papers), Plant and animal studies (34 papers) and Amphibian and Reptile Biology (25 papers). Molly E. Cummings is often cited by papers focused on Animal Behavior and Reproduction (59 papers), Plant and animal studies (34 papers) and Amphibian and Reptile Biology (25 papers). Molly E. Cummings collaborates with scholars based in United States, Canada and Germany. Molly E. Cummings's co-authors include Martine E. Maan, Michael J. Ryan, Catherine R. Darst, Mary E. Ramsey, Ryan Y. Wong, Parrish Brady, Gil G. Rosenthal, David C. Cannatella, John A. Endler and Carrie C. Veilleux and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Molly E. Cummings

76 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Molly E. Cummings United States 34 2.5k 1.3k 584 507 481 79 3.4k
Martin J. Whiting Australia 35 3.2k 1.3× 2.4k 1.9× 610 1.0× 1.2k 2.3× 587 1.2× 180 4.4k
Ryan L. Earley United States 34 2.5k 1.0× 845 0.6× 770 1.3× 1.1k 2.1× 706 1.5× 131 4.1k
Michael P. Speed United Kingdom 35 4.3k 1.7× 1.0k 0.8× 1.7k 3.0× 965 1.9× 363 0.8× 80 5.2k
Tracy Langkilde United States 28 1.8k 0.7× 1.3k 1.0× 589 1.0× 885 1.7× 239 0.5× 127 2.7k
Sami Merilaita Sweden 35 3.2k 1.3× 893 0.7× 860 1.5× 1.1k 2.1× 465 1.0× 75 4.1k
Terry J. Ord Australia 30 2.0k 0.8× 1.1k 0.8× 459 0.8× 678 1.3× 331 0.7× 73 2.7k
Emilie C. Snell‐Rood United States 26 2.0k 0.8× 415 0.3× 1.3k 2.2× 1.0k 2.0× 212 0.4× 79 3.5k
Jerry F. Husak United States 30 2.6k 1.0× 1.8k 1.4× 538 0.9× 1.2k 2.5× 181 0.4× 87 3.4k
Marc Théry France 28 2.0k 0.8× 709 0.5× 489 0.8× 798 1.6× 175 0.4× 63 2.6k
Jonathan N. Pruitt United States 30 3.0k 1.2× 624 0.5× 1.8k 3.1× 818 1.6× 265 0.6× 133 3.7k

Countries citing papers authored by Molly E. Cummings

Since Specialization
Citations

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

Fields of papers citing papers by Molly E. Cummings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly E. Cummings. 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 Molly E. Cummings. The network helps show where Molly E. Cummings may publish in the future.

Co-authorship network of co-authors of Molly E. Cummings

This figure shows the co-authorship network connecting the top 25 collaborators of Molly E. Cummings. A scholar is included among the top collaborators of Molly E. Cummings 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 Molly E. Cummings. Molly E. Cummings 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
2.
Bailey, Robert J., et al.. (2024). Courtship is associated with greater spatial cognition and decreased boldness in a swordtail fish. Animal Behaviour. 217. 109–121.
3.
O’Connell, Lauren A., Lawrence H. Uricchio, Alexandre B. Roland, et al.. (2023). Selection on Visual Opsin Genes in Diurnal Neotropical Frogs and Loss of the SWS2 Opsin in Poison Frogs. Molecular Biology and Evolution. 40(10). 8 indexed citations
4.
Cummings, Molly E., et al.. (2023). Life-Long Experience with Male Mating Tactics Shapes Spatial Cognition and Coercion Evasion in Female Swordtails. Fishes. 8(11). 562–562. 3 indexed citations
5.
Young, Rebecca L., et al.. (2023). Individual variation in preference behavior in sailfin fish refines the neurotranscriptomic pathway for mate preference. Ecology and Evolution. 13(7). e10323–e10323. 1 indexed citations
6.
Whitaker, Keith W., et al.. (2021). Courting danger: socially dominant fish adjust their escape behavior and compensate for increased conspicuousness to avian predators. Hydrobiologia. 848(16). 3667–3681. 6 indexed citations
7.
Doan, Thuy, Armin Hinterwirth, Lee Worden, et al.. (2019). Gut microbiome alteration in MORDOR I: a community-randomized trial of mass azithromycin distribution. Nature Medicine. 25(9). 1370–1376. 96 indexed citations
8.
Ramsey, Mary E., Dustin Fry, & Molly E. Cummings. (2019). Isotocin increases female avoidance of males in a coercive mating system: Assessing the social salience hypothesis of oxytocin in a fish species. Hormones and Behavior. 112. 1–9. 10 indexed citations
9.
Rodríguez, Ariel, et al.. (2017). Mating status correlates with dorsal brightness in some but not all poison frog populations. Ecology and Evolution. 7(24). 10503–10512. 18 indexed citations
10.
Cummings, Molly E., et al.. (2015). An Analysis of Predator Selection to Affect Aposematic Coloration in a Poison Frog Species. PLoS ONE. 10(6). e0130571–e0130571. 50 indexed citations
11.
Wong, Ryan Y. & Molly E. Cummings. (2014). Expression Patterns of Neuroligin-3 and Tyrosine Hydroxylase across the Brain in Mate Choice Contexts in Female Swordtails. Brain Behavior and Evolution. 83(3). 231–243. 15 indexed citations
12.
Maan, Martine E. & Molly E. Cummings. (2011). Poison Frog Colors Are Honest Signals of Toxicity, Particularly for Bird Predators. The American Naturalist. 179(1). E1–E14. 181 indexed citations
13.
Brady, Parrish & Molly E. Cummings. (2010). Differential Response to Circularly Polarized Light by the Jewel Scarab BeetleChrysina gloriosa. The American Naturalist. 175(5). 614–620. 63 indexed citations
14.
Ramsey, Mary E., Ryan Y. Wong, & Molly E. Cummings. (2010). Estradiol, reproductive cycle and preference behavior in a northern swordtail. General and Comparative Endocrinology. 170(2). 381–390. 35 indexed citations
15.
Cummings, Molly E. & Rose Gelineau‐Morel. (2009). The energetic costs of alternative male reproductive strategies in Xiphophorus nigrensis. Journal of Comparative Physiology A. 195(10). 935–946. 22 indexed citations
16.
Maan, Martine E. & Molly E. Cummings. (2008). FEMALE PREFERENCES FOR APOSEMATIC SIGNAL COMPONENTS IN A POLYMORPHIC POISON FROG. Evolution. 62(9). 2334–2345. 176 indexed citations
17.
Cummings, Molly E.. (2007). SENSORY TRADE-OFFS PREDICT SIGNAL DIVERGENCE IN SURFPERCH. Evolution. 61(3). 530–545. 104 indexed citations
18.
Cummings, Molly E., et al.. (2006). Is UV Ornamentation an Amplifier in Swordtails?. Zebrafish. 3(1). 91–100. 14 indexed citations
19.
Darst, Catherine R. & Molly E. Cummings. (2006). Predator learning favours mimicry of a less-toxic model in poison frogs. Nature. 440(7081). 208–211. 146 indexed citations
20.
Cummings, Molly E.. (2004). Modelling divergence in luminance and chromatic detection performance across measured divergence in surfperch (Embiotocidae) habitats. Vision Research. 44(11). 1127–1145. 36 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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