An Vo
Impact in
- Neurology top 5%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
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- Genetic Neurodegenerative Diseases
Papers in
- Neurology 24
- Neurological disorders and treatments 15
- Parkinson's Disease Mechanisms and Treatments 13
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- Gene expression and cancer classification 6
- Co-authors
- S. Oraintara (15 shared papers)David Eidelberg (27 shared papers)Aziz M. Uluğ (14 shared papers)Nha Nguyen (23 shared papers)Chris C. Tang (14 shared papers)Miklós Árgyelán (5 shared papers)Heng Huang (8 shared papers)Martin Niethammer (9 shared papers)
- Journals
- Cerebral Cortex (5 papers)Human Brain Mapping (4 papers)Bioinformatics (3 papers)Journal of Computational Biology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)
- Partner nations
- United StatesGermanySlovenia
In The Last Decade
An Vo
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Neurology 388
- Cellular and Molecular Neuroscience 206
- Cognitive Neuroscience 217
- Neurology 87
- Media Technology 89
Countries citing papers authored by An Vo
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
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-authors
The 25 scholars most cited alongside An Vo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 98 | |
| 2 | 2018 | 70 | |
| 3 | 2016 | 58 | |
| 4 | 2019 | 55 | |
| 5 | 2012 | 55 | |
| 6 | 2009 | 55 | |
| 7 | 2014 | 38 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 37 | |
| 10 | 2014 | 36 | |
| 11 | 2018 | 28 | |
| 12 | 2010 | 28 | |
| 13 | 2014 | 26 | |
| 14 | 2016 | 26 | |
| 15 | 2010 | 25 | |
| 16 | 2007 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2003 | 23 | |
| 19 | 2010 | 23 | |
| 20 | 2008 | 16 |
About An Vo
An Vo is a scholar working on Neurology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurological disorders and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Image Retrieval and Classification Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Gene expression and cancer classification (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Neurology (388 citations), Cellular and Molecular Neuroscience (206 citations), Cognitive Neuroscience (217 citations), Neurology (87 citations) and Media Technology (89 citations). An Vo has collaborated with scholars based in United States, Germany and Slovenia. Frequent co-authors include S. Oraintara, David Eidelberg, Aziz M. Uluğ, Nha Nguyen, Chris C. Tang, Miklós Árgyelán, Heng Huang, Martin Niethammer, Truong Thao Nguyen and Stephen L. Dewey. Their work appears in journals such as Cerebral Cortex, Human Brain Mapping, Bioinformatics, Journal of Computational Biology and Journal of Magnetic Resonance Imaging.
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.