Michael S. Barker

12.8k total citations · 1 hit paper
69 papers, 4.7k citations indexed

About

Michael S. Barker is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Michael S. Barker has authored 69 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 41 papers in Plant Science and 26 papers in Genetics. Recurrent topics in Michael S. Barker's work include Genomics and Phylogenetic Studies (33 papers), Chromosomal and Genetic Variations (33 papers) and Genetic diversity and population structure (22 papers). Michael S. Barker is often cited by papers focused on Genomics and Phylogenetic Studies (33 papers), Chromosomal and Genetic Variations (33 papers) and Genetic diversity and population structure (22 papers). Michael S. Barker collaborates with scholars based in United States, Canada and China. Michael S. Barker's co-authors include Loren H. Rieseberg, Itay Mayrose, Philip B. Greenspoon, Troy E. Wood, Naoki Takebayashi, Nils Arrigo, Sarah P. Otto, Nolan C. Kane, Shing H. Zhan and Paul G. Wolf and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Michael S. Barker

68 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The frequency of polyploid speciation in vascular plants

2009 1.0k citations Troy E. Wood, Naoki Takebayashi et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael S. Barker United States	34	3.0k	2.6k	1.8k	1.4k	203	69	4.7k
Frank R. Blattner Germany	43	3.2k 1.1×	1.9k 0.7×	1.8k 1.0×	1.1k 0.8×	306 1.5×	118	4.7k
Norman J. Wickett United States	31	3.3k 1.1×	3.0k 1.1×	2.3k 1.3×	846 0.6×	244 1.2×	61	5.1k
Gerald M. Schneeweiss Austria	40	2.9k 1.0×	2.4k 0.9×	2.9k 1.6×	1.3k 0.9×	269 1.3×	106	5.0k
Tao Sang China	30	4.1k 1.4×	2.8k 1.0×	2.2k 1.2×	2.8k 2.0×	346 1.7×	47	6.3k
Matthew A. Gitzendanner United States	28	1.6k 0.5×	2.0k 0.7×	2.0k 1.2×	1.4k 1.0×	277 1.4×	66	3.8k
Joey Shaw United States	12	1.7k 0.6×	2.3k 0.9×	2.7k 1.5×	1.2k 0.8×	492 2.4×	29	4.2k
Seung‐Chul Kim South Korea	28	1.6k 0.5×	1.5k 0.6×	1.7k 1.0×	1.1k 0.8×	307 1.5×	143	3.5k
Edgar B. Lickey United States	8	1.5k 0.5×	2.0k 0.8×	2.4k 1.3×	1.1k 0.7×	417 2.1×	11	3.6k
Gonzalo Nieto Feliner Spain	26	1.8k 0.6×	1.2k 0.5×	1.8k 1.0×	1.1k 0.8×	274 1.3×	107	3.1k
Douglas E. Soltis United States	36	2.4k 0.8×	2.5k 1.0×	2.5k 1.4×	812 0.6×	219 1.1×	116	4.9k

Countries citing papers authored by Michael S. Barker

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Barker. 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 Michael S. Barker. The network helps show where Michael S. Barker may publish in the future.

Co-authorship network of co-authors of Michael S. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Barker. A scholar is included among the top collaborators of Michael S. Barker 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 Michael S. Barker. Michael S. Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cang, F. Alice, Qiuyu Jiang, Michael T. W. McKibben, et al.. (2024). Chromosome-scale Reference Genome and RAD-based Genetic Map of Yellow Starthistle ( Centaurea solstitialis ) Reveal Putative Structural Variation and QTL Associated With Invader Traits. Genome Biology and Evolution. 16(12).

McKibben, Michael T. W., et al.. (2024). Species‐tree topology impacts the inference of ancient whole‐genome duplications across the angiosperm phylogeny. American Journal of Botany. 111(8). e16378–e16378. 6 indexed citations

Sessa, Emily B., et al.. (2023). GOgetter: A pipeline for summarizing and visualizing GO slim annotations for plant genetic data. Applications in Plant Sciences. 11(4). e11536–e11536. 5 indexed citations

Heckenhauer, Jacqueline, Paul B. Frandsen, John S. Sproul, et al.. (2022). Genome size evolution in the diverse insect order Trichoptera. GigaScience. 11. 36 indexed citations

Qi, Xinshuai, Hong An, Paul D. Blischak, et al.. (2021). Genes derived from ancient polyploidy have higher genetic diversity and are associated with domestication in Brassica rapa. New Phytologist. 230(1). 372–386. 27 indexed citations

Román‐Palacios, Cristian, et al.. (2021). Animal chromosome counts reveal a similar range of chromosome numbers but with less polyploidy in animals compared to flowering plants. Journal of Evolutionary Biology. 34(8). 1333–1339. 21 indexed citations

Blischak, Paul D., Michael S. Barker, & Ryan N. Gutenkunst. (2021). Chromosome‐scale inference of hybrid speciation and admixture with convolutional neural networks. Molecular Ecology Resources. 21(8). 2676–2688. 14 indexed citations

Blischak, Paul D., Michael S. Barker, & Ryan N. Gutenkunst. (2020). Inferring the Demographic History of Inbred Species from Genome-Wide SNP Frequency Data. Molecular Biology and Evolution. 37(7). 2124–2136. 22 indexed citations

Li, Zheng & Michael S. Barker. (2020). Inferring putative ancient whole-genome duplications in the 1000 Plants (1KP) initiative: access to gene family phylogenies and age distributions. GigaScience. 9(2). 41 indexed citations

10.

Carpenter, Eric, Naim Matasci, Saravanaraj Ayyampalayam, et al.. (2019). Access to RNA-sequencing data from 1,173 plant species: The 1000 Plant transcriptomes initiative (1KP). GigaScience. 8(10). 113 indexed citations

11.

An, Hong, Xinshuai Qi, Yue Hao, et al.. (2019). Transcriptome and organellar sequencing highlights the complex origin and diversification of allotetraploid Brassica napus. Nature Communications. 10(1). 2878–2878. 67 indexed citations

12.

Li, Zheng, et al.. (2018). Multiple large-scale gene and genome duplications during the evolution of hexapods. Proceedings of the National Academy of Sciences. 115(18). 4713–4718. 122 indexed citations

13.

Qi, Xinshuai, Hong An, Aaron P. Ragsdale, et al.. (2017). Genomic inferences of domestication events are corroborated by written records in Brassica rapa. Molecular Ecology. 26(13). 3373–3388. 45 indexed citations

14.

Mandáková, Terezie, Zheng Li, Michael S. Barker, & Martin A. Lysák. (2017). Diverse genome organization following 13 independent mesopolyploid events in Brassicaceae contrasts with convergent patterns of gene retention. The Plant Journal. 91(1). 3–21. 75 indexed citations

15.

Li, Zheng, Anthony E. Baniaga, Emily B. Sessa, et al.. (2015). Early genome duplications in conifers and other seed plants. Science Advances. 1(10). e1501084–e1501084. 184 indexed citations

16.

Der, Joshua P., Michael S. Barker, Norman J. Wickett, Claude W. dePamphilis, & Paul G. Wolf. (2011). De novo characterization of the gametophyte transcriptome in bracken fern, Pteridium aquilinum. BMC Genomics. 12(1). 99–99. 99 indexed citations

17.

Shi, Tao, Hongwen Huang, & Michael S. Barker. (2010). Ancient genome duplications during the evolution of kiwifruit (Actinidia) and related Ericales. Annals of Botany. 106(3). 497–504. 70 indexed citations

18.

Wood, Troy E., Naoki Takebayashi, Michael S. Barker, et al.. (2009). The frequency of polyploid speciation in vascular plants. Proceedings of the National Academy of Sciences. 106(33). 13875–13879. 1025 indexed citations breakdown →

19.

Barker, Michael S., Nolan C. Kane, M. Matvienko, et al.. (2008). Multiple Paleopolyploidizations during the Evolution of the Compositae Reveal Parallel Patterns of Duplicate Gene Retention after Millions of Years. Molecular Biology and Evolution. 25(11). 2445–2455. 252 indexed citations

20.

Gantenbein, Benjamin, Victor Fet, Michael S. Barker, & A. Scholl. (2000). Nuclear and mitochondrial markers reveal the existence of two parapatric scorpion species in the Alps: Euscorpius germanus (C. L. Koch, 1837) and E. alpha Caporiacco, 1950, stat. nov. (Euscorpiidae). Revue suisse de zoologie. 107. 843–869. 24 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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