Megan E. Frederickson

3.5k total citations
73 papers, 2.3k citations indexed

About

Megan E. Frederickson is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Plant Science. According to data from OpenAlex, Megan E. Frederickson has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, Evolution, Behavior and Systematics, 37 papers in Genetics and 34 papers in Plant Science. Recurrent topics in Megan E. Frederickson's work include Plant and animal studies (47 papers), Insect and Arachnid Ecology and Behavior (36 papers) and Plant Parasitism and Resistance (24 papers). Megan E. Frederickson is often cited by papers focused on Plant and animal studies (47 papers), Insect and Arachnid Ecology and Behavior (36 papers) and Plant Parasitism and Resistance (24 papers). Megan E. Frederickson collaborates with scholars based in Canada, United States and United Kingdom. Megan E. Frederickson's co-authors include Naomi E. Pierce, Deborah M. Gordon, Douglas W. Yu, Anna O'Brien, Rebecca T. Batstone, Jon G. Sanders, Daniel J. C. Kronauer, Scott Powell, Heraldo L. Vasconcelos and Kirsten M. Prior and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Megan E. Frederickson

69 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan E. Frederickson Canada 31 1.4k 1.1k 903 579 320 73 2.3k
Bitty A. Roy United States 30 1.5k 1.1× 606 0.6× 1.5k 1.7× 456 0.8× 756 2.4× 77 3.1k
Virginie Ravigné France 26 1.3k 0.9× 1.6k 1.5× 1.1k 1.3× 521 0.9× 622 1.9× 59 3.6k
Trine Bilde Denmark 33 2.0k 1.5× 1.8k 1.7× 292 0.3× 905 1.6× 220 0.7× 123 3.2k
Marjorie G. Weber United States 21 1.2k 0.9× 514 0.5× 720 0.8× 457 0.8× 534 1.7× 51 2.0k
Jean‐Baptiste Ferdy France 25 558 0.4× 472 0.4× 453 0.5× 478 0.8× 296 0.9× 47 1.7k
Marianne Élias France 27 1.4k 1.0× 1.1k 1.0× 903 1.0× 278 0.5× 432 1.4× 78 2.7k
Jeremy B. Yoder United States 19 794 0.6× 750 0.7× 480 0.5× 107 0.2× 493 1.5× 36 1.9k
Ian C.W. Hardy United Kingdom 35 2.4k 1.7× 1.3k 1.2× 741 0.8× 2.3k 3.9× 207 0.6× 135 3.8k
Joel L. Sachs United States 31 1.1k 0.8× 742 0.7× 2.3k 2.6× 490 0.8× 210 0.7× 66 4.2k
Anne Atlan France 24 1.4k 1.0× 749 0.7× 734 0.8× 431 0.7× 761 2.4× 56 2.2k

Countries citing papers authored by Megan E. Frederickson

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Frederickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan E. Frederickson

This figure shows the co-authorship network connecting the top 25 collaborators of Megan E. Frederickson. A scholar is included among the top collaborators of Megan E. Frederickson 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 Megan E. Frederickson. Megan E. Frederickson 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.
Stinchcombe, John R., et al.. (2024). Elevated Rates of Molecular Evolution Genome-wide in Mutualist Legumes and Rhizobia. Molecular Biology and Evolution. 41(12).
2.
Frederickson, Megan E., et al.. (2024). Genetic architecture of heritable leaf microbes. Microbiology Spectrum. 12(7). e0061024–e0061024. 1 indexed citations
3.
Frederickson, Megan E., et al.. (2023). Is there a latitudinal diversity gradient for symbiotic microbes? A case study with sensitive partridge peas. Molecular Ecology. 33(1). e17191–e17191. 2 indexed citations
4.
Frederickson, Megan E., et al.. (2022). Genetic architecture of multiple mutualisms and mating system in Turnera ulmifolia. Journal of Evolutionary Biology. 36(1). 280–295. 2 indexed citations
5.
Simonsen, Anna K., et al.. (2022). Nonsymbiotic legumes are more invasive, but only if polyploid. New Phytologist. 237(3). 758–765. 7 indexed citations
6.
O'Brien, Anna, et al.. (2022). Harnessing plant-microbiome interactions for bioremediation across a freshwater urbanization gradient. Water Research. 223. 118926–118926. 15 indexed citations
7.
Simonsen, Anna K., et al.. (2021). Priority effects alter interaction outcomes in a legume–rhizobium mutualism. Proceedings of the Royal Society B Biological Sciences. 288(1946). 20202753–20202753. 22 indexed citations
8.
Prior, Kirsten M., et al.. (2020). Interactions between seed‐dispersing ant species affect plant community composition in field mesocosms. Journal of Animal Ecology. 89(11). 2485–2495. 7 indexed citations
9.
Batstone, Rebecca T., et al.. (2020). Environmental variation impacts trait expression and selection in the legume–rhizobium symbiosis. American Journal of Botany. 107(2). 195–208. 21 indexed citations
10.
Frederickson, Megan E. & Molly M. King. (2020). The gendered effects of COVID-19 on scientific productivity. OSF Preprints (OSF Preprints). 1 indexed citations
11.
O'Brien, Anna, et al.. (2020). Mutualistic Outcomes Across Plant Populations, Microbes, and Environments in the Duckweed Lemna minor. Microbial Ecology. 80(2). 384–397. 32 indexed citations
12.
Prior, Kirsten M., et al.. (2019). Asynchrony between ant seed dispersal activity and fruit dehiscence of myrmecochorous plants. American Journal of Botany. 106(1). 71–80. 13 indexed citations
13.
Prior, Kirsten M., et al.. (2019). Invasive ants disperse seeds farther than native ants, affecting the spatial pattern of seedling recruitment and survival. Oecologia. 192(1). 119–132. 11 indexed citations
14.
Malé, Pierre‐Jean G., et al.. (2019). Using text-mined trait data to test for cooperate-and-radiate co-evolution between ants and plants. PLoS Computational Biology. 15(10). e1007323–e1007323. 15 indexed citations
15.
Malé, Pierre‐Jean G., et al.. (2019). Mating system, population genetics, and phylogeography of the devil’s garden ant, Myrmelachista schumanni, in the Peruvian Amazon. Insectes Sociaux. 67(1). 113–125. 1 indexed citations
16.
Frederickson, Megan E.. (2017). Mutualisms Are Not on the Verge of Breakdown. Trends in Ecology & Evolution. 32(10). 727–734. 76 indexed citations
17.
Mayer, Veronika, Megan E. Frederickson, Doyle McKey, & Rumsaïs Blatrix. (2014). Current issues in the evolutionary ecology of ant–plant symbioses. New Phytologist. 202(3). 749–764. 92 indexed citations
18.
Turner, Kyle M. & Megan E. Frederickson. (2013). Signals Can Trump Rewards in Attracting Seed-Dispersing Ants. PLoS ONE. 8(8). e71871–e71871. 45 indexed citations
19.
Frederickson, Megan E.. (2013). Rethinking Mutualism Stability: Cheaters and the Evolution of Sanctions. The Quarterly Review of Biology. 88(4). 269–295. 113 indexed citations
20.
Weyl, E. Glen, Megan E. Frederickson, Douglas W. Yu, & Naomi E. Pierce. (2010). Economic contract theory tests models of mutualism. Proceedings of the National Academy of Sciences. 107(36). 15712–15716. 87 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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