Brian Tenner
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
-
- Receptor Mechanisms and Signaling 6
- Phosphodiesterase function and regulation 2
- Protein Degradation and Inhibitors 2
- Retinal Development and Disorders 2
- Advanced Biosensing Techniques and Applications 2
- CRISPR and Genetic Engineering 2
-
- Advanced Fluorescence Microscopy Techniques 5
- Co-authors
- Jin Zhang (12 shared papers)Sohum Mehta (8 shared papers)Jason Z. Zhang (4 shared papers)Padmini Rangamani (4 shared papers)Richard H. Roth (2 shared papers)Richard L. Huganir (2 shared papers)Martin Falcke (1 shared paper)Lucas M. Stolerman (1 shared paper)
- Journals
- Nature Methods (2 papers)eLife (2 papers)Tetrahedron Letters (1 paper)Nature Chemical Biology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesBelgiumMontenegro
In The Last Decade
Brian Tenner
14 papers receiving 780 citations
Peers
Comparison fields: 5 of 83
- Biophysics 207
- Structural Biology 34
- Molecular Biology 605
- Cellular and Molecular Neuroscience 135
- Cell Biology 81
Countries citing papers authored by Brian Tenner
This map shows the geographic impact of Brian Tenner'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 Brian Tenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tenner more than expected).
Fields of papers citing papers by Brian Tenner
This network shows the impact of papers produced by Brian Tenner. 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 Brian Tenner. The network helps show where Brian Tenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Tenner, 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 | 2020 | 230 | |
| 2 | 2017 | 145 | |
| 3 | 2018 | 133 | |
| 4 | 2020 | 74 | |
| 5 | 2018 | 63 | |
| 6 | 2020 | 42 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2012 | 22 | |
| 10 | 2016 | 8 | |
| 11 | 2020 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2021 | 1 |
About Brian Tenner
Brian Tenner is a scholar working on Molecular Biology, Biophysics, Organic Chemistry, Surgery and Structural Biology, having authored 14 papers that have together received 786 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Phosphodiesterase function and regulation (2 papers), Protein Degradation and Inhibitors (2 papers), Retinal Development and Disorders (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Pancreatic function and diabetes (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biophysics (207 citations), Structural Biology (34 citations), Molecular Biology (605 citations), Cellular and Molecular Neuroscience (135 citations) and Cell Biology (81 citations). Brian Tenner has collaborated with scholars based in United States, Belgium and Montenegro. Frequent co-authors include Jin Zhang, Sohum Mehta, Jason Z. Zhang, Padmini Rangamani, Richard H. Roth, Richard L. Huganir, Martin Falcke, Lucas M. Stolerman, Jessica R. Yang and Susan S. Taylor. Their work appears in journals such as Nature Methods, eLife, Tetrahedron Letters, Nature Chemical Biology and Nature Cell Biology.
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.