Brian Tsang
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- RNA regulation and disease
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Nuclear Structure and Function 1
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- Medical Imaging Techniques and Applications 1
- Co-authors
- Julie D. Forman‐Kay (5 shared papers)Robert M. Vernon (3 shared papers)Tae Hun Kim (2 shared papers)Alaji Bah (2 shared papers)P. Andrew Chong (2 shared papers)Hong Lin (1 shared paper)Patrick Farber (1 shared paper)Nahum Sonenberg (2 shared papers)
- Journals
- Science (1 paper)American Journal of Hematology (1 paper)Science Advances (1 paper)eLife (1 paper)Cell (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Brian Tsang
7 papers receiving 1.3k citations
Brian Tsang's Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.2k
- Biochemistry 108
- Genetics 48
- Cell Biology 65
- Neurology 57
Countries citing papers authored by Brian Tsang
This map shows the geographic impact of Brian Tsang'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 Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tsang more than expected).
Fields of papers citing papers by Brian Tsang
This network shows the impact of papers produced by Brian Tsang. 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 Tsang. The network helps show where Brian Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Tsang, 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 | Pi-Pi contacts are an overlooked protein feature relevant to phase separation Hit paper breakdown → | 2018 | 587 |
| 2 | 2019 | 244 | |
| 3 | 2019 | 244 | |
| 4 | 2020 | 181 | |
| 5 | 2021 | 44 | |
| 6 | 2014 | 12 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 0 |
About Brian Tsang
Brian Tsang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Genetics and Neurology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Medical Imaging Techniques and Applications (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Biochemistry (108 citations), Genetics (48 citations), Cell Biology (65 citations) and Neurology (57 citations). Brian Tsang has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Julie D. Forman‐Kay, Robert M. Vernon, Tae Hun Kim, Alaji Bah, P. Andrew Chong, Hong Lin, Patrick Farber, Nahum Sonenberg, Lewis E. Kay and Alan M Moses. Their work appears in journals such as Science, American Journal of Hematology, Science Advances, eLife and Cell.
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.