Mark E. Mort

3.7k total citations · 1 hit paper
75 papers, 3.0k citations indexed

About

Mark E. Mort is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science. According to data from OpenAlex, Mark E. Mort has authored 75 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Ecology, Evolution, Behavior and Systematics, 41 papers in Molecular Biology and 29 papers in Plant Science. Recurrent topics in Mark E. Mort's work include Plant Diversity and Evolution (34 papers), Genetic diversity and population structure (26 papers) and Plant and Fungal Species Descriptions (20 papers). Mark E. Mort is often cited by papers focused on Plant Diversity and Evolution (34 papers), Genetic diversity and population structure (26 papers) and Plant and Fungal Species Descriptions (20 papers). Mark E. Mort collaborates with scholars based in United States, Spain and Portugal. Mark E. Mort's co-authors include Pamela S. Soltis, Arnoldo Santos‐Guerra, Daniel J. Crawford, Jenny K. Archibald, Javier Francisco‐Ortega, Sara B. Hoot, Mark W. Chase, Vincent Savolainen, Douglas E. Soltis and Michael J. Zanis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and New Phytologist.

In The Last Decade

Mark E. Mort

74 papers receiving 2.8k citations

Hit Papers

Angiosperm phylogeny inferred from 18S rDNA, rbcL, and at... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark E. Mort United States 25 2.1k 1.6k 1.2k 721 306 75 3.0k
Ze‐Long Nie China 29 1.9k 0.9× 1.6k 1.0× 1.1k 0.9× 542 0.8× 295 1.0× 98 2.9k
Helga Ochoterena Mexico 16 2.3k 1.1× 1.6k 1.0× 1.4k 1.2× 722 1.0× 193 0.6× 58 3.3k
Leigh A. Johnson United States 22 1.9k 0.9× 1.3k 0.8× 1.1k 0.9× 565 0.8× 237 0.8× 56 2.6k
Mark A. Carine United Kingdom 28 1.8k 0.8× 1.1k 0.7× 1.3k 1.1× 677 0.9× 358 1.2× 88 2.9k
Douglas E. Soltis United States 36 2.5k 1.2× 2.5k 1.6× 2.4k 2.1× 812 1.1× 398 1.3× 116 4.9k
Sven Buerki United States 27 1.7k 0.8× 1.0k 0.6× 802 0.7× 416 0.6× 381 1.2× 123 2.5k
Qiu‐Yun Xiang United States 33 2.6k 1.2× 2.3k 1.4× 1.7k 1.4× 869 1.2× 367 1.2× 107 4.0k
David C. Tank United States 27 1.5k 0.7× 1.2k 0.7× 972 0.8× 598 0.8× 423 1.4× 59 2.4k
Matthew A. Gitzendanner United States 28 2.0k 1.0× 2.0k 1.2× 1.6k 1.4× 1.4k 1.9× 394 1.3× 66 3.8k
Steven J. Wagstaff New Zealand 33 1.9k 0.9× 1.2k 0.8× 1.2k 1.1× 299 0.4× 363 1.2× 62 2.8k

Countries citing papers authored by Mark E. Mort

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Mort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark E. Mort

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Mort. A scholar is included among the top collaborators of Mark E. Mort 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 Mark E. Mort. Mark E. Mort 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.
Mort, Mark E., et al.. (2023). Vallisneria (Hydrocharitaceae): novel species, taxonomic revisions, and hybridization. Aquatic Botany. 188. 103669–103669. 7 indexed citations
2.
Mort, Mark E., et al.. (2022). The New Principles of Biology: Access and Inclusion in the Science Lab. 42. 1 indexed citations
3.
Folk, Ryan A., Mark E. Mort, Nico Cellinese, et al.. (2019). Rates of niche and phenotype evolution lag behind diversification in a temperate radiation. Proceedings of the National Academy of Sciences. 116(22). 10874–10882. 107 indexed citations
4.
Archibald, Jenny K., et al.. (2017). A reassessment of the phylogeny and circumscription of Zaluzianskya (Scrophulariaceae). Molecular Phylogenetics and Evolution. 112. 194–208. 1 indexed citations
6.
Wessinger, Carolyn A., et al.. (2016). Multiplexed shotgun genotyping resolves species relationships within the North American genus Penstemon. American Journal of Botany. 103(5). 912–922. 41 indexed citations
7.
Casas, Rafael Rubio de, Mark E. Mort, & Pamela S. Soltis. (2016). The influence of habitat on the evolution of plants: a case study across Saxifragales. Annals of Botany. 118(7). 1317–1328. 10 indexed citations
8.
Mort, Mark E., Daniel J. Crawford, John K. Kelly, et al.. (2015). Multiplexed‐shotgun‐genotyping data resolve phylogeny within a very recently derived insular lineage. American Journal of Botany. 102(4). 634–641. 33 indexed citations
9.
10.
Soltis, Pamela S., Mark E. Mort, Maribeth Latvis, et al.. (2013). Phylogenetic relationships and character evolution analysis of Saxifragales using a supermatrix approach. American Journal of Botany. 100(5). 916–929. 86 indexed citations
11.
Samuel, Rosabelle, Tod F. Stuessy, Daniel J. Crawford, et al.. (2011). Molecular phylogeny of Nassauvia (Asteraceae, Mutisieae) based on nrDNA ITS sequences. Plant Systematics and Evolution. 298(2). 399–408. 8 indexed citations
12.
Mort, Mark E., Pamela S. Soltis, Javier Francisco‐Ortega, & Arnoldo Santos‐Guerra. (2009). Phylogenetics and Evolution of the Macaronesian Clade of Crassulaceae Inferred from Nuclear and Chloroplast Sequence Data. Systematic Botany. 27(2). 271–288. 88 indexed citations
13.
Marriage, Tara N., Stephen P. Hudman, Mark E. Mort, et al.. (2009). Direct estimation of the mutation rate at dinucleotide microsatellite loci in Arabidopsis thaliana (Brassicaceae). Heredity. 103(4). 310–317. 85 indexed citations
14.
Kim, Seung‐Chul, Michael R. McGowen, Pesach Lubinsky, et al.. (2008). Timing and Tempo of Early and Successive Adaptive Radiations in Macaronesia. PLoS ONE. 3(5). e2139–e2139. 122 indexed citations
15.
Levsen, Nicholas D., et al.. (2008). Nei's to Bayes’: comparing computational methods and genetic markers to estimate patterns of genetic variation in Tolpis (Asteraceae). American Journal of Botany. 95(11). 1466–1474. 8 indexed citations
17.
Mort, Mark E., et al.. (2007). Inferring phylogeny at low taxonomic levels: utility of rapidly evolving cpDNA and nuclear ITS loci. American Journal of Botany. 94(2). 173–183. 87 indexed citations
18.
Crawford, Daniel J., Jenny K. Archibald, Arnoldo Santos‐Guerra, & Mark E. Mort. (2006). Allozyme diversity within and divergence among species ofTolpis(Asteraceae‐Lactuceae) in the Canary Islands: systematic, evolutionary, and biogeographical implications. American Journal of Botany. 93(4). 656–664. 28 indexed citations
19.
Mort, Mark E., et al.. (2000). Comparison of Three Methods for Estimating Internal Support on Phylogenetic Trees. Systematic Biology. 49(1). 160–171. 133 indexed citations
20.
Soltis, Pamela S., Mark E. Mort, Mark W. Chase, et al.. (1998). Inferring Complex Phylogenies Using Parsimony: An Empirical Approach Using Three Large DNA Data Sets for Angiosperms. Systematic Biology. 47(1). 32–42. 187 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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