Hannah E. Marx

1.5k total citations
25 papers, 903 citations indexed

About

Hannah E. Marx is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Hannah E. Marx has authored 25 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Nature and Landscape Conservation and 11 papers in Plant Science. Recurrent topics in Hannah E. Marx's work include Plant and animal studies (11 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Genomics and Phylogenetic Studies (7 papers). Hannah E. Marx is often cited by papers focused on Plant and animal studies (11 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Genomics and Phylogenetic Studies (7 papers). Hannah E. Marx collaborates with scholars based in United States, United Kingdom and Switzerland. Hannah E. Marx's co-authors include David C. Tank, Pamela S. Soltis, Michael S. Barker, Jacob B. Landis, Zheng Li, Yao‐Wu Yuan, Richard G. Olmstead, Chang Liu, Patricia Lu‐Irving and Michael Stümvoll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Ecology and New Phytologist.

In The Last Decade

Hannah E. Marx

22 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah E. Marx United States 11 425 350 344 195 144 25 903
Jillian Henss United States 5 267 0.6× 105 0.3× 370 1.1× 112 0.6× 127 0.9× 6 796
Mauro Ramalho Brazil 22 1.2k 2.8× 376 1.1× 94 0.3× 98 0.5× 401 2.8× 53 1.5k
Shigeru Saito Japan 22 159 0.4× 262 0.7× 357 1.0× 29 0.1× 207 1.4× 40 1.4k
Magdaléna Hodková Czechia 22 404 1.0× 158 0.5× 120 0.3× 50 0.3× 491 3.4× 61 1.5k
Patricia Berger United States 20 312 0.7× 233 0.7× 221 0.6× 211 1.1× 158 1.1× 36 1.2k
Diana M. Oliveras United States 10 263 0.6× 117 0.3× 172 0.5× 89 0.5× 80 0.6× 12 676
Monte E. Turner United States 18 280 0.7× 126 0.4× 220 0.6× 83 0.4× 559 3.9× 37 1.0k
Paul A. Bartell United States 16 205 0.5× 61 0.2× 70 0.2× 36 0.2× 91 0.6× 32 776
Nathalie Mondy France 21 435 1.0× 282 0.8× 80 0.2× 35 0.2× 175 1.2× 51 1.1k
Shanshan Zhou China 15 113 0.3× 108 0.3× 212 0.6× 27 0.1× 213 1.5× 30 601

Countries citing papers authored by Hannah E. Marx

Since Specialization
Citations

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

Fields of papers citing papers by Hannah E. Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah E. Marx

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah E. Marx. A scholar is included among the top collaborators of Hannah E. Marx 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 Hannah E. Marx. Hannah E. Marx 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.
Marx, Hannah E., et al.. (2025). Herbaria as critical resources for studying plant‐virus biodiversity and epidemiology. American Journal of Botany. 112(2). e16463–e16463.
2.
Walker, Joseph F., Hannah E. Marx, Ya Yang, et al.. (2024). The link between ancient whole‐genome duplications and cold adaptations in the Caryophyllaceae. American Journal of Botany. 111(8). e16350–e16350. 5 indexed citations
3.
4.
Harris, Steven A., et al.. (2024). BRIDGING PERSPECTIVES: A COMPARATIVE EXAMINATION OF SUBJECTIVE MEMORY AND AGING MEASURES. Innovation in Aging. 8(Supplement_1). 8–9.
5.
Barak, Rebecca S., Mary‐Claire Glasenhardt, Andrea T. Kramer, et al.. (2023). Dominant species establishment may influence invasion resistance more than phylogenetic or functional diversity. Journal of Applied Ecology. 60(12). 2652–2664. 7 indexed citations
6.
Kreft, Holger, Dylan Craven, Christian König, et al.. (2022). Phylogenetic composition of native island floras influences naturalized alien species richness. Ecography. 2022(11). 6 indexed citations
7.
Morales‐Briones, Diego F., Berit Gehrke, Chien‐Hsun Huang, et al.. (2021). Analysis of Paralogs in Target Enrichment Data Pinpoints Multiple Ancient Polyploidy Events in Alchemilla s.l. (Rosaceae). Systematic Biology. 71(1). 190–207. 43 indexed citations
8.
Barak, Rebecca S., et al.. (2021). The invasion paradox dissolves when using phylogenetic and temporal perspectives. Journal of Ecology. 110(2). 443–456. 19 indexed citations
9.
10.
Marx, Hannah E., Marta Carboni, Rolland Douzet, et al.. (2021). Can functional genomic diversity provide novel insights into mechanisms of community assembly? A pilot study from an invaded alpine streambed. Ecology and Evolution. 11(17). 12075–12091. 1 indexed citations
11.
Marx, Hannah E., S. P. Scheidt, Michael S. Barker, & Katrina M. Dlugosch. (2020). TagSeq for gene expression in non‐model plants: A pilot study at the Santa Rita Experimental Range NEON core site. Applications in Plant Sciences. 8(11). e11398–e11398. 4 indexed citations
12.
Marx, Hannah E., et al.. (2019). Increasing phylogenetic stochasticity at high elevations on summits across a remote North American wilderness. American Journal of Botany. 106(7). 958–970. 5 indexed citations
13.
Li, Daijiang, Hannah E. Marx, Julie M. Allen, et al.. (2019). For common community phylogenetic analyses, go ahead and use synthesis phylogenies. Ecology. 100(9). e02788–e02788. 84 indexed citations
14.
Lu‐Irving, Patricia, Hannah E. Marx, & Katrina M. Dlugosch. (2018). Leveraging contemporary species introductions to test phylogenetic hypotheses of trait evolution. Current Opinion in Plant Biology. 42. 95–102. 3 indexed citations
15.
Yang, Ya, Michael J. Moore, Samuel F. Brockington, et al.. (2017). An efficient field and laboratory workflow for plant phylotranscriptomic projects. Applications in Plant Sciences. 5(3). 15 indexed citations
16.
Marx, Hannah E., Cédric Dentant, Julien Renaud, et al.. (2017). Riders in the sky (islands): Using a mega‐phylogenetic approach to understand plant species distribution and coexistence at the altitudinal limits of angiosperm plant life. Journal of Biogeography. 44(11). 2618–2630. 26 indexed citations
17.
Marx, Hannah E., et al.. (2015). Deconstructing Darwin's Naturalization Conundrum in the San Juan Islands using community phylogenetics and functional traits. Diversity and Distributions. 22(3). 318–331. 42 indexed citations
18.
Marx, Hannah E., Nataly O’Leary, Yao‐Wu Yuan, et al.. (2010). A molecular phylogeny and classification of Verbenaceae. American Journal of Botany. 97(10). 1647–1663. 104 indexed citations
19.
Yuan, Yao‐Wu, Chang Liu, Hannah E. Marx, & Richard G. Olmstead. (2009). The pentatricopeptide repeat (PPR) gene family, a tremendous resource for plant phylogenetic studies. New Phytologist. 182(1). 272–283. 49 indexed citations
20.
Yuan, Yao‐Wu, Chang Liu, Hannah E. Marx, & Richard G. Olmstead. (2009). An empirical demonstration of using pentatricopeptide repeat (PPR) genes as plant phylogenetic tools: Phylogeny of Verbenaceae and the Verbena complex. Molecular Phylogenetics and Evolution. 54(1). 23–35. 41 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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