Mai-Anh Vu

2.6k total citations · 1 hit paper
19 papers, 1.8k citations indexed

About

Mai-Anh Vu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mai-Anh Vu has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mai-Anh Vu's work include Advanced Neuroimaging Techniques and Applications (5 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (4 papers). Mai-Anh Vu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (4 papers). Mai-Anh Vu collaborates with scholars based in United States, New Zealand and Japan. Mai-Anh Vu's co-authors include Donna Rose Addis, Daniel L. Schacter, Martha E. Shenton, Marek Kubicki, Ofer Pasternak, Sylvain Bouix, Karl G. Helmer, Ross Zafonte, Robert A. Stern and Maulik Purohit and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mai-Anh Vu

18 papers receiving 1.8k citations

Hit Papers

A review of magnetic resonance imaging and diffusion tens... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mai-Anh Vu United States 13 792 547 464 435 277 19 1.8k
J. Christopher Edgar United States 28 1.5k 2.0× 316 0.6× 346 0.7× 220 0.5× 445 1.6× 54 2.2k
Robert J. Thoma United States 33 1.7k 2.2× 316 0.6× 387 0.8× 232 0.5× 331 1.2× 63 2.7k
Valérie Bonnelle United Kingdom 15 1.9k 2.3× 1.1k 2.1× 733 1.6× 854 2.0× 247 0.9× 22 3.1k
Yasuhiro Nagahama Japan 28 1.2k 1.5× 374 0.7× 450 1.0× 662 1.5× 239 0.9× 69 2.8k
Elizabeth W. Pang Canada 31 2.2k 2.8× 278 0.5× 361 0.8× 176 0.4× 228 0.8× 138 3.1k
Inge Leunissen Belgium 25 1.3k 1.6× 347 0.6× 530 1.1× 510 1.2× 182 0.7× 37 2.1k
Jürgen Bergmann Austria 24 1.0k 1.3× 316 0.6× 129 0.3× 201 0.5× 120 0.4× 50 1.7k
Jane B. Allendorfer United States 32 1.4k 1.7× 174 0.3× 501 1.1× 215 0.5× 338 1.2× 99 2.6k
Eva M. Müller‐Oehring United States 29 1.3k 1.6× 263 0.5× 558 1.2× 247 0.6× 356 1.3× 75 2.0k
Susanne Karch Germany 29 2.0k 2.5× 245 0.4× 206 0.4× 169 0.4× 300 1.1× 102 2.8k

Countries citing papers authored by Mai-Anh Vu

Since Specialization
Citations

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

Fields of papers citing papers by Mai-Anh Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai-Anh Vu. 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 Mai-Anh Vu. The network helps show where Mai-Anh Vu may publish in the future.

Co-authorship network of co-authors of Mai-Anh Vu

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

All Works

19 of 19 papers shown
2.
Vu, Mai-Anh, et al.. (2025). Distinct spatially organized striatum-wide acetylcholine dynamics for the learning and extinction of Pavlovian associations. Nature Communications. 16(1). 5169–5169. 2 indexed citations
3.
Vu, Mai-Anh, Zicheng Zhang, Yulong Li, et al.. (2024). Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior. Neuron. 112(6). 909–923.e9. 9 indexed citations
5.
Vu, Mai-Anh, Tülay Adalı, Demba Ba, et al.. (2018). A Shared Vision for Machine Learning in Neuroscience. Journal of Neuroscience. 38(7). 1601–1607. 105 indexed citations
6.
Hultman, Rainbo, Benjamin D. Sachs, Cameron Blount, et al.. (2018). Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability. Cell. 173(1). 166–180.e14. 128 indexed citations
7.
Chiew, Kimberly S., Jordan Hashemi, Mai-Anh Vu, et al.. (2018). Motivational valence alters memory formation without altering exploration of a real-life spatial environment. PLoS ONE. 13(3). e0193506–e0193506. 5 indexed citations
8.
Carlson, David, Neil M. Gallagher, Mai-Anh Vu, et al.. (2017). Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway. Biological Psychiatry. 82(12). 904–913. 29 indexed citations
9.
Borg, Jana Schaich, Mai-Anh Vu, Cristian T. Badea, et al.. (2015). Localization of Metal Electrodes in the Intact Rat Brain Using Registration of 3D Microcomputed Tomography Images to a Magnetic Resonance Histology Atlas. eNeuro. 2(4). ENEURO.0017–15.2015. 7 indexed citations
10.
Kikinis, Zora, Jennifer Fitzsimmons, Mai-Anh Vu, et al.. (2015). Anterior commissural white matter fiber abnormalities in first-episode psychosis: A tractography study. Schizophrenia Research. 162(1-3). 29–34. 15 indexed citations
11.
Kikinis, Zora, Miloš Keřkovský, Sylvain Bouix, et al.. (2014). Abnormalities in Myelination of the Superior Cerebellar Peduncle in Patients with Schizophrenia and Deficits in Movement Sequencing. The Cerebellum. 13(4). 415–424. 22 indexed citations
12.
Vu, Mai-Anh, Heidi W. Thermenos, Douglas P. Terry, et al.. (2013). Working memory in schizotypal personality disorder: fMRI activation and deactivation differences. Schizophrenia Research. 151(1-3). 113–123. 19 indexed citations
13.
Addis, Donna Rose, Kelly S. Giovanello, Mai-Anh Vu, & Daniel L. Schacter. (2013). Age-related changes in prefrontal and hippocampal contributions to relational encoding. NeuroImage. 84. 19–26. 28 indexed citations
14.
Hohenberg, Christian Clemm von, Ofer Pasternak, Marek Kubicki, et al.. (2013). White Matter Microstructure in Individuals at Clinical High Risk of Psychosis: A Whole-Brain Diffusion Tensor Imaging Study. Schizophrenia Bulletin. 40(4). 895–903. 90 indexed citations
15.
Dickey, Chandlee C., Mai-Anh Vu, Martina M. Voglmaier, et al.. (2012). Prosodic abnormalities in schizotypal personality disorder. Schizophrenia Research. 142(1-3). 20–30. 24 indexed citations
16.
Shenton, Martha E., Hesham M. Hamoda, Jason S. Schneiderman, et al.. (2012). A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging and Behavior. 6(2). 137–192. 685 indexed citations breakdown →
17.
Vu, Mai-Anh, et al.. (2009). Inhibition of protein kinase C signaling protects prefrontal cortex dendritic spines and cognition from the effects of chronic stress. Proceedings of the National Academy of Sciences. 106(42). 17957–17962. 177 indexed citations
18.
Addis, Donna Rose, et al.. (2008). Constructive episodic simulation of the future and the past: Distinct subsystems of a core brain network mediate imagining and remembering. Neuropsychologia. 47(11). 2222–2238. 431 indexed citations
19.
Brennan, Avis R., et al.. (2008). Blockade of IP3-mediated SK channel signaling in the rat medial prefrontal cortex improves spatial working memory. Learning & Memory. 15(3). 93–96. 54 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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