Brian Tenner
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
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- Protein Kinase Regulation and GTPase Signaling
- RNA Research and Splicing
- Receptor Mechanisms and Signaling
- Phosphodiesterase function and regulation
- Advanced biosensing and bioanalysis techniques
- Gene Regulatory Network Analysis
Papers in
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- Advanced Fluorescence Microscopy Techniques 8
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- Phosphodiesterase function and regulation 3
- Protein Kinase Regulation and GTPase Signaling 2
- Gene Regulatory Network Analysis 1
- Redox biology and oxidative stress 1
- RNA Research and Splicing 1
- Co-authors
- Jin Zhang (12 shared papers)Sohum Mehta (8 shared papers)Jason Z. Zhang (4 shared papers)Padmini Rangamani (4 shared papers)Richard L. Huganir (2 shared papers)Richard H. Roth (2 shared papers)Tsan‐Wen Lu (1 shared paper)Susan Serota Taylor (1 shared paper)
- Journals
- Nature Methods (2 papers)eLife (2 papers)Nature Chemical Biology (1 paper)Biophysical Journal (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Brian Tenner
14 papers receiving 810 citations
Peers
Comparison fields: 5 of 72
- Biophysics 301
- Molecular Biology 405
- Cellular and Molecular Neuroscience 39
- Physiology 9
- Cell Biology 26
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 | 250 | |
| 2 | 2017 | 145 | |
| 3 | 2018 | 135 | |
| 4 | 2020 | 79 | |
| 5 | 2018 | 64 | |
| 6 | 2020 | 45 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 30 | |
| 9 | 2012 | 22 | |
| 10 | 2016 | 8 | |
| 11 | 2020 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 1 |
About Brian Tenner
Brian Tenner is a scholar working on Biophysics, Molecular Biology, Physiology, Toxicology and Surgery, having authored 14 papers that have together received 820 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (8 papers), Phosphodiesterase function and regulation (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Pancreatic function and diabetes (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Gene Regulatory Network Analysis (1 paper), Redox biology and oxidative stress (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Biophysics (301 citations), Molecular Biology (405 citations), Cellular and Molecular Neuroscience (39 citations), Physiology (9 citations) and Cell Biology (26 citations). Brian Tenner has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Jin Zhang, Sohum Mehta, Jason Z. Zhang, Padmini Rangamani, Richard L. Huganir, Richard H. Roth, Tsan‐Wen Lu, Susan Serota Taylor, Martin Falcke and Lucas Martins Stolerman. Their work appears in journals such as Nature Methods, eLife, Nature Chemical Biology, Biophysical Journal and Science Advances.
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.