Laura Kubatko

7.5k total citations · 2 hit papers
64 papers, 4.8k citations indexed

About

Laura Kubatko is a scholar working on Genetics, Molecular Biology and Paleontology. According to data from OpenAlex, Laura Kubatko has authored 64 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 41 papers in Molecular Biology and 19 papers in Paleontology. Recurrent topics in Laura Kubatko's work include Genetic diversity and population structure (41 papers), Genomics and Phylogenetic Studies (35 papers) and Evolution and Paleontology Studies (19 papers). Laura Kubatko is often cited by papers focused on Genetic diversity and population structure (41 papers), Genomics and Phylogenetic Studies (35 papers) and Evolution and Paleontology Studies (19 papers). Laura Kubatko collaborates with scholars based in United States, Australia and Kenya. Laura Kubatko's co-authors include Julia Chifman, J. H. Degnan, L. Lacey Knowles, Bryan C. Carstens, Meng Chen, Andrea D. Wolfe, Paul D. Blischak, Laura M. Boykin, Lili Yu and Liang Liu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Laura Kubatko

61 papers receiving 4.7k citations

Hit Papers

Quartet Inference from SN... 2007 2026 2013 2019 2014 2007 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
Laura Kubatko United States 27 2.7k 2.4k 1.2k 1.0k 780 64 4.8k
Jonathan P. Bollback United States 20 2.0k 0.8× 2.4k 1.0× 1.7k 1.4× 957 0.9× 990 1.3× 39 6.0k
Michael P. Cummings United States 43 2.2k 0.8× 2.3k 0.9× 1.8k 1.5× 1.4k 1.3× 355 0.5× 92 5.8k
Todd A. Castoe United States 39 2.6k 1.0× 2.4k 1.0× 1.1k 0.9× 1.1k 1.1× 589 0.8× 118 6.0k
Lê Sỹ Vinh Vietnam 15 1.7k 0.6× 2.9k 1.2× 1.7k 1.4× 1.4k 1.4× 534 0.7× 53 7.1k
Mark T. Holder United States 27 1.5k 0.6× 2.0k 0.8× 1.1k 0.9× 665 0.6× 730 0.9× 47 4.5k
Gerard Talavera Spain 26 2.1k 0.8× 2.4k 1.0× 2.2k 1.8× 1.3k 1.3× 382 0.5× 61 6.4k
M. Hasegawa Japan 19 1.9k 0.7× 3.1k 1.3× 1.5k 1.2× 1.1k 1.0× 696 0.9× 32 5.9k
Diep Thi Hoang Vietnam 6 1.4k 0.5× 2.4k 1.0× 1.7k 1.3× 1.4k 1.3× 400 0.5× 11 6.4k
Paul B. Frandsen United States 20 1.9k 0.7× 1.9k 0.8× 2.2k 1.8× 1.0k 1.0× 526 0.7× 77 5.7k
Jessica Leigh Canada 12 2.1k 0.8× 1.8k 0.7× 1.1k 0.9× 810 0.8× 280 0.4× 14 5.7k

Countries citing papers authored by Laura Kubatko

Since Specialization
Citations

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

Fields of papers citing papers by Laura Kubatko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Kubatko. 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 Laura Kubatko. The network helps show where Laura Kubatko may publish in the future.

Co-authorship network of co-authors of Laura Kubatko

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Kubatko. A scholar is included among the top collaborators of Laura Kubatko 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 Laura Kubatko. Laura Kubatko 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
2.
Kubatko, Laura, Alexander S. Leonard, & Julia Chifman. (2024). Identifiability of speciation times under the multispecies coalescent. Journal of Theoretical Biology. 595. 111927–111927. 1 indexed citations
3.
Swofford, David L., et al.. (2024). Inference of Phylogenetic Networks From Sequence Data Using Composite Likelihood. Systematic Biology. 74(1). 53–69. 13 indexed citations
4.
Peng, Jing, David L. Swofford, & Laura Kubatko. (2022). Estimation of speciation times under the multispecies coalescent. Bioinformatics. 38(23). 5182–5190. 7 indexed citations
5.
Chifman, Julia, et al.. (2022). A phylogenetic approach to inferring the order in which mutations arise during cancer progression. PLoS Computational Biology. 18(12). e1010560–e1010560. 3 indexed citations
6.
Kubatko, Laura, et al.. (2020). Consistency of SVDQuartets and Maximum Likelihood for Coalescent-Based Species Tree Estimation. Systematic Biology. 70(1). 33–48. 21 indexed citations
7.
Kubatko, Laura, et al.. (2020). Comparative Performance of Popular Methods for Hybrid Detection using Genomic Data. Systematic Biology. 70(5). 891–907. 36 indexed citations
8.
Wainaina, James M., Laura Kubatko, Jagger Harvey, et al.. (2019). Evolutionary insights of Bean common mosaic necrosis virus and Cowpea aphid-borne mosaic virus. PeerJ. 7. e6297–e6297. 10 indexed citations
9.
Boykin, Laura M., James M. Wainaina, Susan Seal, et al.. (2018). Review and guide to a future naming system of African Bemisia tabaci species. Systematic Entomology. 43(3). 427–433. 23 indexed citations
10.
Kubatko, Laura, et al.. (2018). Identifiability and Reconstructibility of Species Phylogenies Under a Modified Coalescent. Bulletin of Mathematical Biology. 81(2). 408–430. 11 indexed citations
11.
Blischak, Paul D., Laura Kubatko, & Andrea D. Wolfe. (2017). SNP genotyping and parameter estimation in polyploids using low-coverage sequencing data. Bioinformatics. 34(3). 407–415. 58 indexed citations
12.
Blischak, Paul D., Laura Kubatko, & Andrea D. Wolfe. (2015). Accounting for genotype uncertainty in the estimation of allele frequencies in autopolyploids. Molecular Ecology Resources. 16(3). 742–754. 27 indexed citations
13.
Kubatko, Laura, Premal Shah, Radu Herbei, & Michael A. Gilchrist. (2015). A codon model of nucleotide substitution with selection on synonymous codon usage. Molecular Phylogenetics and Evolution. 94. 290–297. 9 indexed citations
14.
Herbei, Radu & Laura Kubatko. (2013). Monte Carlo estimation of total variation distance of Markov chains on large spaces, with application to phylogenetics. Statistical Applications in Genetics and Molecular Biology. 12(1). 39–48. 2 indexed citations
15.
Roos, Christian, Dietmar Zinner, Laura Kubatko, et al.. (2011). Nuclear versus mitochondrial DNA: evidence for hybridization in colobine monkeys. BMC Evolutionary Biology. 11(1). 77–77. 104 indexed citations
16.
Boykin, Laura M., Karen Armstrong, Laura Kubatko, & Paul De Barro. (2011). Species Delimitation and Global Biosecurity. Evolutionary Bioinformatics. 8. 1–37. 156 indexed citations
17.
Kubatko, Laura, et al.. (2011). Estimating species trees using approximate Bayesian computation. Molecular Phylogenetics and Evolution. 59(2). 354–363. 28 indexed citations
18.
Knowles, L. Lacey & Laura Kubatko. (2010). Estimating species trees : practical and theoretical aspects. Wiley-Blackwell eBooks. 116 indexed citations
19.
Boykin, Laura M., Laura Kubatko, & Timothy K. Lowrey. (2009). Comparison of methods for rooting phylogenetic trees: A case study using Orcuttieae (Poaceae: Chloridoideae). Molecular Phylogenetics and Evolution. 54(3). 687–700. 25 indexed citations
20.
Efromovich, Sam & Laura Kubatko. (2008). Coalescent Time Distributions in Trees of Arbitrary Size. Statistical Applications in Genetics and Molecular Biology. 7(1). Article2–Article2. 18 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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