Sean V. Burke

938 total citations
20 papers, 614 citations indexed

About

Sean V. Burke is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Genetics. According to data from OpenAlex, Sean V. Burke has authored 20 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, Evolution, Behavior and Systematics, 12 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Sean V. Burke's work include Plant Taxonomy and Phylogenetics (16 papers), Genomics and Phylogenetic Studies (11 papers) and Genetic diversity and population structure (7 papers). Sean V. Burke is often cited by papers focused on Plant Taxonomy and Phylogenetics (16 papers), Genomics and Phylogenetic Studies (11 papers) and Genetic diversity and population structure (7 papers). Sean V. Burke collaborates with scholars based in United States, Australia and United Kingdom. Sean V. Burke's co-authors include Melvin R. Duvall, William P. Wysocki, Lynn G. Clark, Joseph M. Craine, Maria S. Vorontsova, Scot A. Kelchner, Paul M. Peterson, Robert J. Soreng, Jeffery M. Saarela and Matthew D. Barrett and has published in prestigious journals such as PLoS ONE, Evolution and Frontiers in Plant Science.

In The Last Decade

Sean V. Burke

20 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean V. Burke United States 14 469 356 230 127 54 20 614
William P. Wysocki United States 14 591 1.3× 405 1.1× 334 1.5× 134 1.1× 113 2.1× 18 801
Jordan K. Teisher United States 6 467 1.0× 160 0.4× 362 1.6× 56 0.4× 77 1.4× 12 603
Sandra S. Aliscioni Argentina 13 648 1.4× 219 0.6× 418 1.8× 51 0.4× 81 1.5× 44 806
Lakshmi Attigala United States 9 249 0.5× 128 0.4× 214 0.9× 71 0.6× 45 0.8× 14 383
Joy Everett Australia 15 528 1.1× 125 0.4× 368 1.6× 76 0.6× 67 1.2× 47 656
Alejandra Vázquez‐Lobo Mexico 16 221 0.5× 224 0.6× 374 1.6× 228 1.8× 72 1.3× 32 660
Dustin Mayfield‐Jones United States 7 314 0.7× 376 1.1× 203 0.9× 88 0.7× 15 0.3× 8 518
N. Ivalú Cacho United States 14 317 0.7× 110 0.3× 190 0.8× 85 0.7× 155 2.9× 26 436
Camille Christe Switzerland 10 201 0.4× 184 0.5× 149 0.6× 210 1.7× 58 1.1× 17 419
Roger D. Bull Canada 12 268 0.6× 169 0.5× 145 0.6× 84 0.7× 30 0.6× 24 475

Countries citing papers authored by Sean V. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Sean V. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean V. Burke. 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 Sean V. Burke. The network helps show where Sean V. Burke may publish in the future.

Co-authorship network of co-authors of Sean V. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Sean V. Burke. A scholar is included among the top collaborators of Sean V. Burke 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 Sean V. Burke. Sean V. Burke 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.
Burke, Sean V., et al.. (2020). Plastome phylogenomics and phylogenetic diversity of endangered and threatened grassland species (Poaceae) in a North American tallgrass prairie. Ecology and Evolution. 10(14). 7602–7615. 5 indexed citations
2.
3.
Bianconi, Matheus E., Jan Hackel, Maria S. Vorontsova, et al.. (2019). Continued Adaptation of C4 Photosynthesis After an Initial Burst of Changes in the Andropogoneae Grasses. Systematic Biology. 69(3). 445–461. 28 indexed citations
4.
Gallaher, Timothy, Dean C. Adams, Lakshmi Attigala, et al.. (2019). Leaf shape and size track habitat transitions across forest–grassland boundaries in the grass family (Poaceae). Evolution. 73(5). 927–946. 54 indexed citations
5.
Duvall, Melvin R., et al.. (2019). Plastome phylogenomics of Poaceae: alternate topologies depend on alignment gaps. Botanical Journal of the Linnean Society. 192(1). 9–20. 31 indexed citations
6.
Burke, Sean V., et al.. (2018). Next generation sequencing reveals packaging of host RNAs by brome mosaic virus. Virus Research. 252. 82–90. 10 indexed citations
7.
Saarela, Jeffery M., Sean V. Burke, William P. Wysocki, et al.. (2018). A 250 plastome phylogeny of the grass family (Poaceae): topological support under different data partitions. PeerJ. 6. e4299–e4299. 122 indexed citations
8.
Burke, Sean V., Mark C. Ungerer, & Melvin R. Duvall. (2018). Investigation of mitochondrial-derived plastome sequences in the Paspalum lineage (Panicoideae; Poaceae). BMC Plant Biology. 18(1). 152–152. 14 indexed citations
9.
Novo, David, Kaya Ghosh, & Sean V. Burke. (2017). Single Cell and Population Level Analysis of HCA Data. Methods in molecular biology. 1683. 245–266. 3 indexed citations
10.
Duvall, Melvin R., Shrirang R. Yadav, Sean V. Burke, & William P. Wysocki. (2017). Grass plastomes reveal unexpected paraphyly with endemic species of Micrairoideae from India and new haplotype markers in Arundinoideae. American Journal of Botany. 104(2). 286–295. 9 indexed citations
11.
Burke, Sean V., Choun‐Sea Lin, William P. Wysocki, Lynn G. Clark, & Melvin R. Duvall. (2016). Phylogenomics and Plastome Evolution of Tropical Forest Grasses (Leptaspis, Streptochaeta: Poaceae). Frontiers in Plant Science. 7. 1993–1993. 40 indexed citations
12.
Burke, Sean V., William P. Wysocki, Fernando O. Zuloaga, et al.. (2016). Evolutionary relationships in Panicoid grasses based on plastome phylogenomics (Panicoideae; Poaceae). BMC Plant Biology. 16(1). 140–140. 64 indexed citations
13.
Burke, Sean V., et al.. (2016). Plastid phylogenomic study of species within the genus Zea: rates and patterns of three classes of microstructural changes. Current Genetics. 63(2). 311–323. 15 indexed citations
14.
Wysocki, William P., Sean V. Burke, Wesley D. Swingley, & Melvin R. Duvall. (2016). The First Complete Plastid Genome from Joinvilleaceae (J. ascendens; Poales) Shows Unique and Unpredicted Rearrangements. PLoS ONE. 11(9). e0163218–e0163218. 11 indexed citations
15.
Duvall, Melvin R., Amanda E. Fisher, J. Travis Columbus, et al.. (2016). Phylogenomics and Plastome Evolution of the Chloridoid Grasses (Chloridoideae: Poaceae). International Journal of Plant Sciences. 177(3). 235–246. 30 indexed citations
16.
Wysocki, William P., et al.. (2016). The role of hemiparasitic plants: influencing tallgrass prairie quality, diversity, and structure. Restoration Ecology. 25(3). 405–413. 18 indexed citations
17.
Burke, Sean V., et al.. (2014). Biogeography and phylogenomics of New World Bambusoideae (Poaceae), revisited. American Journal of Botany. 101(5). 886–891. 29 indexed citations
18.
Burke, Sean V., et al.. (2014). Phylogenomics, molecular evolution, and estimated ages of lineages from the deep phylogeny of Poaceae. Plant Systematics and Evolution. 300(6). 1421–1436. 32 indexed citations
19.
Wysocki, William P., Lynn G. Clark, Scot A. Kelchner, et al.. (2014). A multi–step comparison of short–read full plastome sequence assembly methods in grasses. Taxon. 63(4). 899–910. 28 indexed citations
20.

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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