Bryan D. Bryson
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
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- vaccines and immunoinformatics approaches 10
- Single-cell and spatial transcriptomics 9
-
- Tuberculosis Research and Epidemiology 14
- Co-authors
- Bonnie Berger (11 shared papers)Brian Hie (10 shared papers)Sarah M. Fortune (12 shared papers)Alex K. Shalek (6 shared papers)Travis K. Hughes (4 shared papers)Marc H. Wadsworth (4 shared papers)J. Christopher Love (2 shared papers)Todd M. Gierahn (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of the American Chemical Society (3 papers)Nature Communications (3 papers)Nature Protocols (2 papers)mSystems (2 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Bryan D. Bryson
53 papers receiving 2.8k citations
Bryan D. Bryson's Hit Papers
Peers
Comparison fields: 5 of 132
- Biophysics 255
- Infectious Diseases 610
- Immunology 578
- Molecular Biology 1.7k
- Cancer Research 289
Countries citing papers authored by Bryan D. Bryson
This map shows the geographic impact of Bryan D. Bryson'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 D. Bryson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan D. Bryson more than expected).
Fields of papers citing papers by Bryan D. Bryson
This network shows the impact of papers produced by Bryan D. Bryson. 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 D. Bryson. The network helps show where Bryan D. Bryson may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan D. Bryson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput Hit paper breakdown → | 2017 | 619 |
| 2 | Efficient integration of heterogeneous single-cell transcriptomes using Scanorama Hit paper breakdown → | 2019 | 491 |
| 3 | 2015 | 253 | |
| 4 | 2021 | 195 | |
| 5 | 2022 | 104 | |
| 6 | 2020 | 102 | |
| 7 | Contrastive learning in protein language space predicts interactions between drugs and protein targets Hit paper breakdown → | 2023 | 102 |
| 8 | 2014 | 94 | |
| 9 | 2019 | 84 | |
| 10 | 2012 | 77 | |
| 11 | 2023 | 72 | |
| 12 | 2021 | 66 | |
| 13 | 2018 | 63 | |
| 14 | 2019 | 61 | |
| 15 | 2020 | 60 | |
| 16 | 2019 | 39 | |
| 17 | 2021 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 2022 | 27 | |
| 20 | 2013 | 26 |
About Bryan D. Bryson
Bryan D. Bryson is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Epidemiology and Oncology, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers), vaccines and immunoinformatics approaches (10 papers), Single-cell and spatial transcriptomics (9 papers), Immune cells in cancer (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Biophysics (255 citations), Infectious Diseases (610 citations), Immunology (578 citations), Molecular Biology (1.7k citations) and Cancer Research (289 citations). Bryan D. Bryson has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Bonnie Berger, Brian Hie, Sarah M. Fortune, Alex K. Shalek, Travis K. Hughes, Marc H. Wadsworth, J. Christopher Love, Todd M. Gierahn, Andrew Butler and Rahul Satija. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Nature Communications, Nature Protocols and mSystems.
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.