Brian Tsui

1.5k total citations
8 papers, 511 citations indexed

About

Brian Tsui is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Brian Tsui has authored 8 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Brian Tsui's work include Epigenetics and DNA Methylation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Autophagy in Disease and Therapy (1 paper). Brian Tsui is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Autophagy in Disease and Therapy (1 paper). Brian Tsui collaborates with scholars based in United States, United Kingdom and Japan. Brian Tsui's co-authors include Hannah Carter, Trey Ideker, Peter D. Adams, Jason F. Kreisberg, Tina Wang, Andrew M. Gross, Michael Yu, Neil Robertson, Holly M. Brown‐Borg and Stephanie I. Fraley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Brian Tsui

8 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Tsui United States	7	312	94	78	72	71	8	511
Thore C. Brink Germany	12	702 2.3×	60 0.6×	145 1.9×	55 0.8×	35 0.5×	14	995
Lichun Tang China	10	510 1.6×	132 1.4×	79 1.0×	37 0.5×	76 1.1×	22	649
Ashley C. Kramer United States	13	490 1.6×	58 0.6×	75 1.0×	36 0.5×	17 0.2×	28	653
João Facucho-Oliveira Portugal	7	652 2.1×	77 0.8×	63 0.8×	32 0.4×	39 0.5×	19	788
Katherine M. Lelli United States	7	874 2.8×	55 0.6×	170 2.2×	28 0.4×	67 0.9×	8	967
Prerana Wagle Germany	12	234 0.8×	31 0.3×	62 0.8×	30 0.4×	53 0.7×	17	479
Lioudmila V. Sharova United States	16	1.0k 3.3×	59 0.6×	139 1.8×	52 0.7×	26 0.4×	23	1.2k
Jiho Choi United States	10	665 2.1×	67 0.7×	118 1.5×	30 0.4×	30 0.4×	13	824
Víctor Barrera United States	13	220 0.7×	54 0.6×	57 0.7×	94 1.3×	20 0.3×	25	560
Szymon Czauderna Poland	5	945 3.0×	105 1.1×	230 2.9×	47 0.7×	54 0.8×	7	1.1k

Countries citing papers authored by Brian Tsui

Since Specialization

Citations

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

Fields of papers citing papers by Brian Tsui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Tsui

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

All Works

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8 of 8 papers shown

1.

Tsui, Brian, Shamim Mollah, Dylan Skola, et al.. (2021). Increasing metadata coverage of SRA BioSample entries using deep learning–based named entity recognition. Database. 2021. 12 indexed citations

2.

Rodvold, Jeffrey J., Xian Su, Julia K. Nussbacher, et al.. (2020). IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells. Scientific Reports. 10(1). 8348–8348. 17 indexed citations

3.

Wang, Tina, Jianzhu Ma, Andrew N. Hogan, et al.. (2020). Quantitative Translation of Dog-to-Human Aging by Conserved Remodeling of the DNA Methylome. Cell Systems. 11(2). 176–185.e6. 72 indexed citations

4.

Almanza, Gonzalo, Jeffrey J. Rodvold, Brian Tsui, et al.. (2018). Extracellular vesicles produced in B cells deliver tumor suppressor miR-335 to breast cancer cells disrupting oncogenic programming in vitro and in vivo. Scientific Reports. 8(1). 17581–17581. 20 indexed citations

5.

Dow, Michelle T., Rachel Marty Pyke, Brian Tsui, et al.. (2018). Integrative genomic analysis of mouse and human hepatocellular carcinoma. Proceedings of the National Academy of Sciences. 115(42). E9879–E9888. 61 indexed citations

6.

Tsui, Brian, Michelle T. Dow, Dylan Skola, & Hannah Carter. (2018). Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive. PubMed. 24. 196–207. 4 indexed citations

7.

Wang, Tina, Brian Tsui, Jason F. Kreisberg, et al.. (2017). Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatment. Genome biology. 18(1). 57–57. 205 indexed citations

8.

Velez, Daniel Ortiz, et al.. (2017). 3D collagen architecture induces a conserved migratory and transcriptional response linked to vasculogenic mimicry. Nature Communications. 8(1). 1651–1651. 120 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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