Jonathan E. Bronson
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
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- Advanced Fluorescence Microscopy Techniques 2
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- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Gene Regulatory Network Analysis 2
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 1
- Advanced Biosensing Techniques and Applications 1
- Co-authors
- Ruben L. Gonzalez (6 shared papers)Chris H. Wiggins (5 shared papers)Jingyi Fei (4 shared papers)Jake M. Hofman (3 shared papers)Jan-Willem van de Meent (2 shared papers)Rathi L. Srinivas (1 shared paper)Arianne C. Richard (1 shared paper)Virginia W. Cornish (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Nature Structural & Molecular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Bioinformatics (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Jonathan E. Bronson
7 papers receiving 676 citations
Peers
Comparison fields: 5 of 61
- Biophysics 161
- Structural Biology 35
- Molecular Biology 599
- Genetics 96
- Atomic and Molecular Physics, and Optics 51
Countries citing papers authored by Jonathan E. Bronson
This map shows the geographic impact of Jonathan E. Bronson'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 Jonathan E. Bronson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Bronson more than expected).
Fields of papers citing papers by Jonathan E. Bronson
This network shows the impact of papers produced by Jonathan E. Bronson. 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 Jonathan E. Bronson. The network helps show where Jonathan E. Bronson may publish in the future.
Co-authors
The 9 scholars most cited alongside Jonathan E. Bronson, 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 | 2009 | 322 | |
| 2 | 2014 | 139 | |
| 3 | 2009 | 121 | |
| 4 | 2011 | 42 | |
| 5 | 2010 | 30 | |
| 6 | 2007 | 24 | |
| 7 | 2013 | 22 |
About Jonathan E. Bronson
Jonathan E. Bronson is a scholar working on Biophysics, Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry, having authored 7 papers that have together received 700 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Gene Regulatory Network Analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Microfluidic and Capillary Electrophoresis Applications (1 paper), CRISPR and Genetic Engineering (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (161 citations), Structural Biology (35 citations), Molecular Biology (599 citations), Genetics (96 citations) and Atomic and Molecular Physics, and Optics (51 citations). Jonathan E. Bronson has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Ruben L. Gonzalez, Chris H. Wiggins, Jingyi Fei, Jake M. Hofman, Jan-Willem van de Meent, Rathi L. Srinivas, Arianne C. Richard, Virginia W. Cornish and Frank Wood. Their work appears in journals such as Biophysical Journal, Nature Structural & Molecular Biology, Proceedings of the National Academy of Sciences, BMC Bioinformatics and Molecular BioSystems.
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.