Brian Wai Chow

2.0k total citations · 2 hit papers
6 papers, 1.3k citations indexed

About

Brian Wai Chow is a scholar working on Neurology, Molecular Biology and Cell Biology. According to data from OpenAlex, Brian Wai Chow has authored 6 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Brian Wai Chow's work include Barrier Structure and Function Studies (5 papers), Caveolin-1 and cellular processes (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Brian Wai Chow is often cited by papers focused on Barrier Structure and Function Studies (5 papers), Caveolin-1 and cellular processes (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Brian Wai Chow collaborates with scholars based in United States. Brian Wai Chow's co-authors include Chenghua Gu, Luke Kaplan, Clary B. Clish, David D. Ginty, Ayal Ben‐Zvi, Kevin Bullock, Aleksandra Tata, Baptiste Lacoste, Benjamin J. Andreone and Amy Deik and has published in prestigious journals such as Nature, Neuron and Nature reviews. Neuroscience.

In The Last Decade

Brian Wai Chow

6 papers receiving 1.3k 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.

Blood-Brain Barrier Permeability Is Regulated by Lipid Transport-Dependent Suppression of Caveolae-Mediated Transcytosis

2017 427 citations Benjamin J. Andreone, Brian Wai Chow et al. Neuron profile →
Neuronal regulation of the blood–brain barrier and neurovascular coupling

2020 278 citations Luke Kaplan, Brian Wai Chow et al. Nature reviews. Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Wai Chow United States	6	585	476	203	189	182	6	1.3k
Benjamin J. Andreone United States	8	805 1.4×	698 1.5×	270 1.3×	285 1.5×	289 1.6×	10	1.8k
Athanasios Lourbopoulos Greece	21	406 0.7×	452 0.9×	273 1.3×	286 1.5×	67 0.4×	41	1.5k
Roeben N. Munji United States	9	634 1.1×	633 1.3×	282 1.4×	136 0.7×	81 0.4×	11	1.5k
Edward D. Plowey United States	19	457 0.8×	623 1.3×	223 1.1×	333 1.8×	207 1.1×	36	1.8k
Sasidhar Murikinati United States	10	598 1.0×	393 0.8×	191 0.9×	124 0.7×	47 0.3×	10	1.4k
Jianqin Niu China	23	825 1.4×	772 1.6×	408 2.0×	253 1.3×	122 0.7×	51	2.2k
Omar Touzani France	25	681 1.2×	538 1.1×	299 1.5×	192 1.0×	68 0.4×	51	1.9k
Hisaaki Takahashi Japan	25	554 0.9×	551 1.2×	371 1.8×	213 1.1×	199 1.1×	46	1.8k
Zsuzsanna Környei Hungary	18	752 1.3×	387 0.8×	301 1.5×	185 1.0×	77 0.4×	29	1.5k
Vanessa Coelho‐Santos Portugal	17	427 0.7×	423 0.9×	187 0.9×	124 0.7×	48 0.3×	25	1.1k

Countries citing papers authored by Brian Wai Chow

Since Specialization

Citations

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

Fields of papers citing papers by Brian Wai Chow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Wai Chow

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

All Works

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6 of 6 papers shown

1.

Granger, Adam, Wengang Wang, Keiramarie Robertson, et al.. (2020). Cortical ChAT+ neurons co-transmit acetylcholine and GABA in a target- and brain-region-specific manner. eLife. 9. 66 indexed citations

2.

Kaplan, Luke, Brian Wai Chow, & Chenghua Gu. (2020). Neuronal regulation of the blood–brain barrier and neurovascular coupling. Nature reviews. Neuroscience. 21(8). 416–432. 278 indexed citations breakdown →

3.

Chow, Brian Wai, Vicente Nuñez, Luke Kaplan, et al.. (2020). Caveolae in CNS arterioles mediate neurovascular coupling. Nature. 579(7797). 106–110. 157 indexed citations

4.

Chow, Brian Wai & Chenghua Gu. (2017). Gradual Suppression of Transcytosis Governs Functional Blood-Retinal Barrier Formation. Neuron. 93(6). 1325–1333.e3. 134 indexed citations

5.

Andreone, Benjamin J., Brian Wai Chow, Aleksandra Tata, et al.. (2017). Blood-Brain Barrier Permeability Is Regulated by Lipid Transport-Dependent Suppression of Caveolae-Mediated Transcytosis. Neuron. 94(3). 581–594.e5. 427 indexed citations breakdown →

6.

Chow, Brian Wai & Chenghua Gu. (2015). The Molecular Constituents of the Blood–Brain Barrier. Trends in Neurosciences. 38(10). 598–608. 279 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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