An Vo

1.5k total citations
60 papers, 1.0k citations indexed

About

An Vo is a scholar working on Neurology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, An Vo has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 15 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in An Vo's work include Neurological disorders and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (13 papers) and Functional Brain Connectivity Studies (11 papers). An Vo is often cited by papers focused on Neurological disorders and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (13 papers) and Functional Brain Connectivity Studies (11 papers). An Vo collaborates with scholars based in United States, Germany and Slovenia. An Vo's co-authors include S. Oraintara, David Eidelberg, Aziz M. Uluğ, Nha Nguyen, Chris C. Tang, Heng Huang, Miklós Árgyelán, Truong Thao Nguyen, Martin Niethammer and Wataru Sako and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

An Vo

56 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
An Vo United States 19 388 217 206 187 160 60 1.0k
Daniel García-Lorenzo France 22 680 1.8× 425 2.0× 280 1.4× 561 3.0× 258 1.6× 34 2.0k
Jennifer L. Cuzzocreo United States 17 100 0.3× 102 0.5× 77 0.4× 272 1.5× 177 1.1× 21 759
Biao Huang China 21 386 1.0× 269 1.2× 63 0.3× 514 2.7× 90 0.6× 82 1.2k
Milan Arsić Germany 5 160 0.4× 244 1.1× 69 0.3× 410 2.2× 115 0.7× 5 1.1k
Muna Hoshi Germany 8 167 0.4× 231 1.1× 74 0.4× 377 2.0× 110 0.7× 9 1.2k
David Metcalf United States 12 82 0.2× 200 0.9× 47 0.2× 352 1.9× 304 1.9× 14 829
Danni Cheng China 15 158 0.4× 117 0.5× 73 0.4× 162 0.9× 146 0.9× 44 1.2k
Thierry Delzescaux France 18 278 0.7× 224 1.0× 421 2.0× 456 2.4× 163 1.0× 62 1.7k

Countries citing papers authored by An Vo

Since Specialization
Citations

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

Fields of papers citing papers by An Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Vo

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

All Works

20 of 20 papers shown
1.
Vo, An, Yilong Ma, Chris C. Tang, et al.. (2025). Preoperative network activity predicts the response to subthalamic DBS for Parkinson's disease. Neurotherapeutics. 22(5). e00699–e00699.
2.
Tang, Chris C., Yoshikazu Nakano, An Vo, et al.. (2024). Longitudinal network changes and phenoconversion risk in isolated REM sleep behavior disorder. Nature Communications. 15(1). 10797–10797. 4 indexed citations
3.
Niethammer, Martin, Chris C. Tang, Roland Dominic G. Jamora, et al.. (2023). A Network Imaging Biomarker of X‐Linked Dystonia‐Parkinsonism. Annals of Neurology. 94(4). 684–695. 3 indexed citations
4.
Vo, An, Nha Nguyen, Koji Fujita, et al.. (2023). Disordered network structure and function in dystonia: pathological connectivity vs. adaptive responses. Cerebral Cortex. 33(11). 6943–6958. 6 indexed citations
5.
Jimenez, Heidy, Leslie R. Adrien, Eric H. Chang, et al.. (2023). The Impact of Muscarinic Antagonism on Psychosis-Relevant Behaviors and Striatal [11C] Raclopride Binding in Tau Mouse Models of Alzheimer’s Disease. Biomedicines. 11(8). 2091–2091. 2 indexed citations
6.
Vo, An, Katharina A. Schindlbeck, Nha Nguyen, et al.. (2022). Adaptive and pathological connectivity responses in Parkinson’s disease brain networks. Cerebral Cortex. 33(4). 917–932. 13 indexed citations
7.
Schindlbeck, Katharina A., Chris C. Tang, An Vo, et al.. (2022). Stereotyped Relationship Between Motor and Cognitive Metabolic Networks in Parkinson's Disease. Movement Disorders. 37(11). 2247–2256. 9 indexed citations
8.
Mader, Simone, Lior Brimberg, An Vo, et al.. (2022). In utero exposure to maternal anti–aquaporin-4 antibodies alters brain vasculature and neural dynamics in male mouse offspring. Science Translational Medicine. 14(641). eabe9726–eabe9726. 10 indexed citations
9.
Vo, An, et al.. (2022). Automated differential diagnosis of dementia syndromes using FDG PET and machine learning. Frontiers in Aging Neuroscience. 14. 1005731–1005731. 14 indexed citations
10.
Vo, An, et al.. (2021). Parkinson's disease-related pattern (PDRP) identified using resting-state functional MRI: Validation study. SHILAP Revista de lepidopterología. 1(3). 100026–100026. 11 indexed citations
11.
Mackay, Meggan, An Vo, Chris C. Tang, et al.. (2019). Metabolic and microstructural alterations in the SLE brain correlate with cognitive impairment. JCI Insight. 4(1). 55 indexed citations
12.
Árgyelán, Miklós, Mohammad M. Herzallah, Wataru Sako, et al.. (2018). Dopamine modulates striatal response to reward and punishment in patients with Parkinson’s disease. Neuroreport. 29(7). 532–540. 8 indexed citations
13.
Fujita, Koji, Wataru Sako, An Vo, Susan Bressman, & David Eidelberg. (2017). Disruption of network for visual perception of natural motion in primary dystonia. Human Brain Mapping. 39(3). 1163–1174. 4 indexed citations
14.
Sako, Wataru, Koji Fujita, An Vo, et al.. (2015). The visual perception of natural motion: abnormal task-related neural activity in DYT1 dystonia. Brain. 138(12). 3598–3609. 14 indexed citations
15.
Nguyen, Nha, An Vo, & Kyoung‐Jae Won. (2014). A Wavelet Approach to Detect Enriched Regions and Explore Epigenomic Landscapes. Journal of Computational Biology. 21(11). 846–854. 4 indexed citations
16.
Vo, An, Wataru Sako, Martin Niethammer, et al.. (2014). Thalamocortical Connectivity Correlates with Phenotypic Variability in Dystonia. Cerebral Cortex. 25(9). 3086–3094. 36 indexed citations
17.
Vo, An, Wataru Sako, Stephen L. Dewey, David Eidelberg, & Aziz M. Uluğ. (2014). 18FDG-microPET and MR DTI findings in Tor1a+/− heterozygous knock-out mice. Neurobiology of Disease. 73. 399–406. 14 indexed citations
18.
Vo, An, Miklós Árgyelán, David Eidelberg, & Aziz M. Uluğ. (2012). Early registration of diffusion tensor images for group tractography of dystonia patients. Journal of Magnetic Resonance Imaging. 37(1). 67–75. 12 indexed citations
19.
Vo, An, S. Oraintara, & Truong Thao Nguyen. (2008). Statistical image modeling using distribution of relative phase in the complex wavelet domain. European Signal Processing Conference. 1–5. 6 indexed citations
20.
Huang, Heng, Nha Nguyen, S. Oraintara, & An Vo. (2008). Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain. BMC Genomics. 9(Suppl 2). S17–S17. 16 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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