Andrew Vo

827 total citations
26 papers, 373 citations indexed

About

Andrew Vo is a scholar working on Neurology, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Andrew Vo has authored 26 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 9 papers in Cognitive Neuroscience and 3 papers in Surgery. Recurrent topics in Andrew Vo's work include Parkinson's Disease Mechanisms and Treatments (15 papers), Neurological disorders and treatments (9 papers) and Neural and Behavioral Psychology Studies (4 papers). Andrew Vo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), Neurological disorders and treatments (9 papers) and Neural and Behavioral Psychology Studies (4 papers). Andrew Vo collaborates with scholars based in Canada, United States and United Kingdom. Andrew Vo's co-authors include Penny A. MacDonald, Ken N. Seergobin, Adrian M. Owen, Robert J. Kaplan, Todd P. Stitik, Adam Hampshire, Alain Dagher, Bratislav Mišić, Shady Rahayel and Sarah A. Morrow and has published in prestigious journals such as NeuroImage, Neurology and Annals of Neurology.

In The Last Decade

Andrew Vo

24 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Vo Canada 14 155 142 64 50 40 26 373
André Felix Gentil Brazil 12 168 1.1× 102 0.7× 28 0.4× 59 1.2× 40 1.0× 24 481
Diana Glendinning United States 8 103 0.7× 110 0.8× 30 0.5× 26 0.5× 65 1.6× 12 310
O. Kozlowski France 13 307 2.0× 171 1.2× 74 1.2× 26 0.5× 160 4.0× 25 563
Marco Paolini Italy 11 136 0.9× 63 0.4× 32 0.5× 31 0.6× 42 1.1× 36 367
Dionis Machado Brazil 12 47 0.3× 158 1.1× 38 0.6× 27 0.5× 37 0.9× 41 344
Francesco Lena Italy 12 333 2.1× 172 1.2× 67 1.0× 24 0.5× 102 2.5× 26 553
Xiaofeng Jiang China 10 173 1.1× 220 1.5× 107 1.7× 48 1.0× 63 1.6× 19 509
R Labrecque Canada 8 98 0.6× 290 2.0× 31 0.5× 61 1.2× 78 1.9× 16 489
Mahmoud Rashidi Germany 11 114 0.7× 145 1.0× 52 0.8× 133 2.7× 140 3.5× 22 431
Loredana Raciti Italy 14 308 2.0× 62 0.4× 85 1.3× 19 0.4× 51 1.3× 44 581

Countries citing papers authored by Andrew Vo

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Vo

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Vo. A scholar is included among the top collaborators of Andrew 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 Andrew Vo. Andrew 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.
Pastor‐Bernier, Alexandre, François Rheault, Véronique Daneault, et al.. (2025). Altered network efficiency in isolated REM sleep behavior disorder: A multicentric study. Alzheimer s & Dementia. 21(8). e70574–e70574. 1 indexed citations
2.
Li, Amanda, et al.. (2024). Impact of SARS-CoV-2 infection during pregnancy on the placenta and fetus. Seminars in Perinatology. 48(4). 151919–151919. 6 indexed citations
3.
Vo, Andrew, Christina Tremblay, Shady Rahayel, et al.. (2023). Network connectivity and local transcriptomic vulnerability underpin cortical atrophy progression in Parkinson’s disease. NeuroImage Clinical. 40. 103523–103523. 7 indexed citations
4.
Rahayel, Shady, et al.. (2022). Predicting longitudinal brain atrophy in Parkinson’s disease using a Susceptible-Infected-Removed agent-based model. Network Neuroscience. 7(3). 906–925. 9 indexed citations
5.
Tremblay, Christina, Shady Rahayel, Andrew Vo, et al.. (2021). Brain atrophy progression in Parkinson’s disease is shaped by connectivity and local vulnerability. Brain Communications. 3(4). fcab269–fcab269. 33 indexed citations
6.
McGregor, Heather E., et al.. (2021). Null effects of levodopa on reward- and error-based motor adaptation, savings, and anterograde interference. Journal of Neurophysiology. 126(1). 47–67. 12 indexed citations
7.
Lee, Jeannie K., et al.. (2019). Impact of geriatrics elective courses at three colleges of pharmacy: Attitudes toward aging and eldercare. Currents in Pharmacy Teaching and Learning. 11(12). 1239–1247. 8 indexed citations
8.
Vo, Andrew, Ken N. Seergobin, & Penny A. MacDonald. (2018). Independent effects of age and levodopa on reversal learning in healthy volunteers. Neurobiology of Aging. 69. 129–139. 14 indexed citations
9.
Khan, Ali R., et al.. (2018). Biomarkers of Parkinson's disease: Striatal sub-regional structural morphometry and diffusion MRI. NeuroImage Clinical. 21. 101597–101597. 27 indexed citations
10.
Vo, Andrew, Ken N. Seergobin, Sarah A. Morrow, & Penny A. MacDonald. (2016). Levodopa impairs probabilistic reversal learning in healthy young adults. Psychopharmacology. 233(14). 2753–2763. 28 indexed citations
11.
Vo, Andrew, Ken N. Seergobin, & Penny A. MacDonald. (2016). Effects of levodopa on stimulus-response learning versus response selection in healthy young adults. Behavioural Brain Research. 317. 553–561. 13 indexed citations
12.
Vo, Andrew, et al.. (2016). Pramipexole Impairs Stimulus-Response Learning in Healthy Young Adults. Frontiers in Neuroscience. 10. 374–374. 19 indexed citations
13.
Vo, Andrew, et al.. (2014). Striatum in stimulus–response learning via feedback and in decision making. NeuroImage. 101. 448–457. 45 indexed citations
14.
Vo, Andrew, et al.. (2014). Dopaminergic medication impairs feedback-based stimulus-response learning but not response selection in Parkinson's disease. Frontiers in Human Neuroscience. 8. 784–784. 19 indexed citations
15.
Seergobin, Ken N., et al.. (2014). Dopaminergic therapy affects learning and impulsivity in Parkinson's disease. Annals of Clinical and Translational Neurology. 1(10). 833–843. 18 indexed citations
16.
Harden, R. Norman, et al.. (2012). Home-Based Aerobic Conditioning for Management of Symptoms of Fibromyalgia: A Pilot Study. Pain Medicine. 13(6). 835–842. 14 indexed citations
17.
Kaplan, Robert J., et al.. (2005). Rehabilitation of orthopedic and rheumatologic disorders. 3. Total hip arthroplasty rehabilitation. Archives of Physical Medicine and Rehabilitation. 86(3 Suppl 1). 56–60. 17 indexed citations
18.
Vo, Andrew, et al.. (2005). Rehabilitation of orthopedic and rheumatologic disorders. 5. Lumbar spinal stenosis. Archives of Physical Medicine and Rehabilitation. 86(3 Suppl 1). 69–76. 22 indexed citations
19.
Kaplan, Robert J., et al.. (2005). Rehabilitation of orthopedic and rheumatologic disorders. 1. Osteoporosis assessment, treatment, and rehabilitation. Archives of Physical Medicine and Rehabilitation. 86(3 Suppl 1). 40–47. 4 indexed citations
20.
Kaplan, Robert J., et al.. (2005). Rehabilitation of orthopedic and rheumatologic disorders. 4. Rheumatoid arthritis and calcium pyrophosphate deposition disease. Archives of Physical Medicine and Rehabilitation. 86(3 Suppl 1). 61–68. 1 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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