Bryan Thornlow

1.3k total citations · 1 hit paper
14 papers, 551 citations indexed

About

Bryan Thornlow is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Bryan Thornlow has authored 14 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Infectious Diseases. Recurrent topics in Bryan Thornlow's work include Genomics and Phylogenetic Studies (10 papers), vaccines and immunoinformatics approaches (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Bryan Thornlow is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), vaccines and immunoinformatics approaches (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Bryan Thornlow collaborates with scholars based in United States, Australia and United Kingdom. Bryan Thornlow's co-authors include Russell Corbett‐Detig, Angie S. Hinrichs, Yatish Turakhia, Nicola De Maio, David Haussler, Robert Lanfear, Landen Gozashti, Jakob McBroome, Todd M. Lowe and Cheng Ye and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Bryan Thornlow

14 papers receiving 543 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.

Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic

2021 193 citations Yatish Turakhia, Bryan Thornlow et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Thornlow United States	11	343	263	125	88	74	14	551
Landen Gozashti United States	7	185 0.5×	170 0.6×	67 0.5×	67 0.8×	45 0.6×	12	333
Jakob McBroome United States	10	149 0.4×	121 0.5×	89 0.7×	47 0.5×	36 0.5×	12	273
Chris Ruis United Kingdom	2	187 0.5×	486 1.8×	37 0.3×	33 0.4×	108 1.5×	3	582
Raquel Garijo Spain	8	175 0.5×	180 0.7×	108 0.9×	44 0.5×	35 0.5×	12	461
Johanna Brodin Sweden	8	182 0.5×	210 0.8×	109 0.9×	38 0.4×	10 0.1×	9	473
Alice Ledda United Kingdom	12	234 0.7×	56 0.2×	101 0.8×	39 0.4×	10 0.1×	21	421
Jesse D. Pyle United States	11	91 0.3×	185 0.7×	37 0.3×	153 1.7×	23 0.3×	15	385
Matthew A. Takata United States	5	307 0.9×	174 0.7×	38 0.3×	50 0.6×	56 0.8×	6	572
Julia C. Kenyon United Kingdom	15	348 1.0×	153 0.6×	93 0.7×	27 0.3×	40 0.5×	27	590
Ana Isabel de Ávila Spain	11	98 0.3×	161 0.6×	110 0.9×	54 0.6×	20 0.3×	29	356

Countries citing papers authored by Bryan Thornlow

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Thornlow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Thornlow

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

All Works

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14 of 14 papers shown

Solovyov, Alexander, Julie M. Behr, David Hoyos, et al.. (2025). Pan-cancer multi-omic model of LINE-1 activity reveals locus heterogeneity of retrotransposition efficiency. Nature Communications. 16(1). 2049–2049. 3 indexed citations

Wang, Weiwen, Thomas K. F. Wong, Bryan Thornlow, et al.. (2023). DecentTree: scalable Neighbour-Joining for the genomic era. Bioinformatics. 39(9). 3 indexed citations

Thornlow, Bryan, Cheng Ye, Nicola De Maio, et al.. (2023). Online Phylogenetics with matOptimize Produces Equivalent Trees and is Dramatically More Efficient for Large SARS-CoV-2 Phylogenies than de novo and Maximum-Likelihood Implementations. Systematic Biology. 72(5). 1039–1051. 11 indexed citations

Ye, Cheng, et al.. (2022). matOptimize: a parallel tree optimization method enables online phylogenetics for SARS-CoV-2. Bioinformatics. 38(15). 3734–3740. 20 indexed citations

Turakhia, Yatish, Bryan Thornlow, Angie S. Hinrichs, et al.. (2022). Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape. Nature. 609(7929). 994–997. 87 indexed citations

Ye, Cheng, et al.. (2022). matOptimize: A parallel tree optimization method enables online phylogenetics for SARS-CoV-2. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Gozashti, Landen, et al.. (2022). Transposable elements drive intron gain in diverse eukaryotes. Proceedings of the National Academy of Sciences. 119(48). e2209766119–e2209766119. 26 indexed citations

Westhof, Éric, Bryan Thornlow, Patricia P. Chan, & Todd M. Lowe. (2022). Eukaryotic tRNA sequences present conserved and amino acid-specific structural signatures. Nucleic Acids Research. 50(7). 4100–4112. 15 indexed citations

McBroome, Jakob, Bryan Thornlow, Angie S. Hinrichs, et al.. (2021). A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees. Molecular Biology and Evolution. 38(12). 5819–5824. 56 indexed citations

10.

Turakhia, Yatish, Bryan Thornlow, Angie S. Hinrichs, et al.. (2021). Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic. Nature Genetics. 53(6). 809–816. 193 indexed citations breakdown →

11.

Turakhia, Yatish, Nicola De Maio, Bryan Thornlow, et al.. (2020). Stability of SARS-CoV-2 phylogenies. PLoS Genetics. 16(11). e1009175–e1009175. 55 indexed citations

12.

Thornlow, Bryan, Joel Armstrong, Andrew Holmes, et al.. (2019). Predicting transfer RNA gene activity from sequence and genome context. Genome Research. 30(1). 85–94. 23 indexed citations

13.

Thornlow, Bryan, et al.. (2018). Estimating the Timing of Multiple Admixture Pulses During Local Ancestry Inference. Genetics. 210(3). 1089–1107. 24 indexed citations

14.

Thornlow, Bryan, et al.. (2018). Transfer RNA genes experience exceptionally elevated mutation rates. Proceedings of the National Academy of Sciences. 115(36). 8996–9001. 34 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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