Brian V. Tsu

1.3k total citations · 1 hit paper
7 papers, 693 citations indexed

About

Brian V. Tsu is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Brian V. Tsu has authored 7 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Oncology. Recurrent topics in Brian V. Tsu's work include Drug Transport and Resistance Mechanisms (2 papers), Evolution and Genetic Dynamics (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Brian V. Tsu is often cited by papers focused on Drug Transport and Resistance Mechanisms (2 papers), Evolution and Genetic Dynamics (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Brian V. Tsu collaborates with scholars based in United States, China and Canada. Brian V. Tsu's co-authors include Milton H. Saier, Gabriel Moreno‐Hagelsieb, Chun Li, Muhammad Saad Ahmed, Vamsee Reddy, Matthew D. Daugherty, Jacob M. Garrigues, Elizabeth J. Fay, Amy E. Pasquinelli and Jessie Kulsuptrakul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Brian V. Tsu

7 papers receiving 690 citations

Hit Papers

align trajectories

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.

The Transporter Classification Database (TCDB): recent advances

2015 564 citations Milton H. Saier, Vamsee Reddy et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian V. Tsu United States	7	441	159	107	94	57	7	693
Åke Västermark United States	15	506 1.1×	133 0.8×	97 0.9×	136 1.4×	92 1.6×	27	886
Dorjee G. Tamang United States	10	539 1.2×	191 1.2×	134 1.3×	123 1.3×	51 0.9×	11	907
Ming Ren Yen United States	9	486 1.1×	164 1.0×	73 0.7×	124 1.3×	26 0.5×	9	762
Sebastian Müller Germany	19	467 1.1×	244 1.5×	45 0.4×	120 1.3×	46 0.8×	41	981
Évelyne Turlin France	22	609 1.4×	115 0.7×	99 0.9×	214 2.3×	116 2.0×	32	1.0k
Megan Bergkessel United States	17	1.0k 2.3×	83 0.5×	157 1.5×	165 1.8×	43 0.8×	25	1.3k
Lisete Fernandes Portugal	10	566 1.3×	177 1.1×	66 0.6×	256 2.7×	68 1.2×	15	931
Suk‐Tae Kwon South Korea	18	743 1.7×	146 0.9×	152 1.4×	175 1.9×	35 0.6×	64	1.0k
Wieke R. Teertstra Netherlands	17	368 0.8×	186 1.2×	100 0.9×	154 1.6×	92 1.6×	26	635
Hongjin Zheng United States	12	451 1.0×	85 0.5×	110 1.0×	181 1.9×	22 0.4×	20	932

Countries citing papers authored by Brian V. Tsu

Since Specialization

Citations

This map shows the geographic impact of Brian V. Tsu'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 V. Tsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian V. Tsu more than expected).

Fields of papers citing papers by Brian V. Tsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian V. Tsu. 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 V. Tsu. The network helps show where Brian V. Tsu may publish in the future.

Co-authorship network of co-authors of Brian V. Tsu

This figure shows the co-authorship network connecting the top 25 collaborators of Brian V. Tsu. A scholar is included among the top collaborators of Brian V. Tsu 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 V. Tsu. Brian V. Tsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Tsu, Brian V., et al.. (2023). Bacterial origin of a key innovation in the evolution of the vertebrate eye. Proceedings of the National Academy of Sciences. 120(16). e2214815120–e2214815120. 8 indexed citations

2.

Tsu, Brian V., Nandan S. Gokhale, Jessie Kulsuptrakul, et al.. (2023). Host-specific sensing of coronaviruses and picornaviruses by the CARD8 inflammasome. PLoS Biology. 21(6). e3002144–e3002144. 26 indexed citations

3.

Salogiannis, John, et al.. (2022). Antiviral function and viral antagonism of the rapidly evolving dynein activating adaptor NINL. eLife. 11. 9 indexed citations

4.

Tsu, Brian V., et al.. (2021). Running With Scissors: Evolutionary Conflicts Between Viral Proteases and the Host Immune System. Frontiers in Immunology. 12. 769543–769543. 29 indexed citations

5.

Garrigues, Jacob M., Brian V. Tsu, Matthew D. Daugherty, & Amy E. Pasquinelli. (2019). Diversification of the Caenorhabditis heat shock response by Helitron transposable elements. eLife. 8. 24 indexed citations

6.

Tsu, Brian V. & Milton H. Saier. (2015). The LysE Superfamily of Transport Proteins Involved in Cell Physiology and Pathogenesis. PLoS ONE. 10(10). e0137184–e0137184. 33 indexed citations

7.

Saier, Milton H., Vamsee Reddy, Brian V. Tsu, et al.. (2015). The Transporter Classification Database (TCDB): recent advances. Nucleic Acids Research. 44(D1). D372–D379. 564 indexed citations breakdown →

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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