Brian Tsang

2.6k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Brian Tsang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Brian Tsang has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Brian Tsang's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Brian Tsang is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Brian Tsang collaborates with scholars based in Canada, United States and Italy. Brian Tsang's 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 Iva Pritišanac and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian Tsang

7 papers receiving 1.3k citations

Hit Papers

Pi-Pi contacts are an overlooked protein feature relevant... 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pi-Pi contacts are an overlooked protein feature relevant to phase separation
    2018 587 citations Robert M. Vernon, P. Andrew Chong et al. eLife profile →

Peers

Brian Tsang
Xiaojie Zhang Germany
Christy L. Rhine United States
Jordina Guillén‐Boixet Germany
Régis Lemaitre Germany
William B. Peeples United States
Eden Fussner Canada
Rustam Ali United States
Daniel S.W. Lee United States
Sonja Kroschwald Germany
Dimitrios K. Papadopoulos Sweden
Xiaojie Zhang Germany
Brian Tsang
Citations per year, relative to Brian Tsang Brian Tsang (= 1×) peers Xiaojie Zhang

Countries citing papers authored by Brian Tsang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Tsang. A scholar is included among the top collaborators of Brian Tsang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Tsang. Brian Tsang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tsang, Brian, et al.. (2023). Applications of artificial intelligence in magnetic resonance imaging of primary pediatric cancers: a scoping review and CLAIM score assessment. Japanese Journal of Radiology. 41(10). 1127–1147. 9 indexed citations
2.
Tsang, Brian, Jennifer McKinney, Mark Levine, et al.. (2023). Evaluating the Outcomes and Trainee Performance of a Canadian Medical Imaging Clinician Investigator Program. Canadian Association of Radiologists Journal. 75(1). 28–37.
3.
Birsa, Nicol, Maria Giovanna Garone, Brian Tsang, et al.. (2021). FUS-ALS mutants alter FMRP phase separation equilibrium and impair protein translation. Science Advances. 7(30). 44 indexed citations
4.
Tsang, Brian, Iva Pritišanac, Stephen W. Scherer, Alan M Moses, & Julie D. Forman‐Kay. (2020). Phase Separation as a Missing Mechanism for Interpretation of Disease Mutations. Cell. 183(7). 1742–1756. 181 indexed citations
5.
Kim, Tae Hun, Brian Tsang, Robert M. Vernon, et al.. (2019). Phospho-dependent phase separation of FMRP and CAPRIN1 recapitulates regulation of translation and deadenylation. Science. 365(6455). 825–829. 244 indexed citations
6.
Tsang, Brian, Jason Arsenault, Robert M. Vernon, et al.. (2019). Phosphoregulated FMRP phase separation models activity-dependent translation through bidirectional control of mRNA granule formation. Proceedings of the National Academy of Sciences. 116(10). 4218–4227. 244 indexed citations
7.
Vernon, Robert M., P. Andrew Chong, Brian Tsang, et al.. (2018). Pi-Pi contacts are an overlooked protein feature relevant to phase separation. eLife. 7. 587 indexed citations breakdown →
8.
Şahin, İlyas, Feda Azab, Yuji Mishima, et al.. (2014). Targeting survival and cell trafficking in multiple myeloma and Waldenstrom macroglobulinemia using pan‐class I PI3K inhibitor, buparlisib. American Journal of Hematology. 89(11). 1030–1036. 12 indexed citations

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.

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