Bryan Thornlow
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
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- Genomics and Phylogenetic Studies 10
- RNA and protein synthesis mechanisms 4
- vaccines and immunoinformatics approaches 3
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 2
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Russell Corbett‐Detig (10 shared papers)Yatish Turakhia (8 shared papers)Angie S. Hinrichs (7 shared papers)Nicola De Maio (5 shared papers)David Haussler (4 shared papers)Robert Lanfear (6 shared papers)Landen Gozashti (3 shared papers)Jakob McBroome (3 shared papers)
- Journals
- Bioinformatics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Nature Genetics (1 paper)Nature (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Bryan Thornlow
14 papers receiving 578 citations
Bryan Thornlow's Hit Papers
Peers
Comparison fields: 5 of 56
- Infectious Diseases 264
- Animal Science and Zoology 67
- Modeling and Simulation 27
- Molecular Biology 342
- Genetics 123
Countries citing papers authored by Bryan Thornlow
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic Hit paper breakdown → | 2021 | 202 |
| 2 | 2022 | 94 | |
| 3 | 2020 | 61 | |
| 4 | 2021 | 56 | |
| 5 | 2018 | 36 | |
| 6 | 2022 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2018 | 24 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 11 | |
| 12 | 2025 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 1 |
About Bryan Thornlow
Bryan Thornlow is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Ecology and Epidemiology, having authored 14 papers that have together received 586 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (3 papers), vaccines and immunoinformatics approaches (3 papers), RNA modifications and cancer (3 papers), SARS-CoV-2 and COVID-19 Research (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 (264 citations), Animal Science and Zoology (67 citations), Modeling and Simulation (27 citations), Molecular Biology (342 citations) and Genetics (123 citations). Bryan Thornlow has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Russell Corbett‐Detig, Yatish Turakhia, Angie S. Hinrichs, 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 Communications, Nature Genetics and Nature.
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.