Bryan Thornlow

1.3k citations
14 papers · 551 · 1 hit paper · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • RNA and protein synthesis mechanisms 4
    • vaccines and immunoinformatics approaches 4
    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 2
    • Chromosomal and Genetic Variations 4

Bryan Thornlow

14 papers receiving 543 citations

Bryan Thornlow's Hit Papers

Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic 2021 · 193 citations
1930+1+3Years since publication50100150

Peers

Bryan Thornlow
Comparison fields: 5 of 52
  • Infectious Diseases 263
  • Animal Science and Zoology 74
  • Modeling and Simulation 27
  • Molecular Biology 343
  • Genetics 125
Replace Landen Gozashti with:
Landen Gozashti United States
Jakob McBroome United States
Samuel S. Shepard United States
Chris Ruis United Kingdom
Patricia Resa‐Infante Spain
Jesse D. Pyle United States
Gordian Schudt Germany
Nicholas K. Hurlburt United States
Alice Ledda United Kingdom
Kathryn A. Hooper United States
Bryan Thornlow relative to Landen Gozashti United States Landen Gozashti's profile →
Citations per field
00.5×
Landen Gozashti · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bryan Thornlow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan Thornlow Line = papers co-authored together Bryan Thornlow links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic
Hit paper breakdown →
2021193
2 202287
3 202156
4 202055
5 201834
6 202226
7 201824
8 201923
9 202220
10 202215
11 202311
12 20233
13 20253
14 20221

About Bryan Thornlow

Bryan Thornlow is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Ecology and Genetics, having authored 14 papers that have together received 551 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA and protein synthesis mechanisms (4 papers), vaccines and immunoinformatics approaches (4 papers), Chromosomal and Genetic Variations (4 papers), RNA modifications and cancer (3 papers), Bacteriophages and microbial interactions (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Infectious Diseases (263 citations), Animal Science and Zoology (74 citations), Modeling and Simulation (27 citations), Molecular Biology (343 citations) and Genetics (125 citations). Bryan Thornlow has collaborated with scholars based in United States, Australia and United Kingdom. Frequent 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. Their work appears in journals such as Bioinformatics, Proceedings of the National Academy of Sciences, Nature Genetics, Molecular Biology and Evolution and Nature Communications.

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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