Brian Tan
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Cerebrovascular and genetic disorders
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
-
- Dementia and Cognitive Impairment Research 18
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 6
- Cerebrovascular and genetic disorders 4
- Co-authors
- Bruce V. Taylor (1 shared paper)Suzi B. Claflin (1 shared paper)Alicia J. Peltsch (1 shared paper)Anthony E. Lang (3 shared papers)Jeff C. H. Huang (1 shared paper)Angela Roberts (3 shared papers)Mandar Jog (2 shared papers)Mario Masellis (4 shared papers)
In The Last Decade
Brian Tan
33 papers receiving 368 citations
Peers
Comparison fields: 5 of 62
- Neurology 111
- Psychiatry and Mental health 111
- Physical Therapy, Sports Therapy and Rehabilitation 19
- Human-Computer Interaction 23
- Cellular and Molecular Neuroscience 35
Countries citing papers authored by Brian Tan
This map shows the geographic impact of Brian Tan'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 Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tan more than expected).
Fields of papers citing papers by Brian Tan
This network shows the impact of papers produced by Brian Tan. 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 Tan. The network helps show where Brian Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Tan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 51 | |
| 2 | 2021 | 31 | |
| 3 | 2022 | 26 | |
| 4 | 2023 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 6 |
About Brian Tan
Brian Tan is a scholar working on Psychiatry and Mental health, Neurology, Physical Therapy, Sports Therapy and Rehabilitation, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 36 papers that have together received 376 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (18 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Cerebrovascular and genetic disorders (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Balance, Gait, and Falls Prevention (3 papers), Mobile Health and mHealth Applications (2 papers), Neurobiology of Language and Bilingualism (2 papers) and Sleep and related disorders (1 paper). The work is most often cited by research in Neurology (111 citations), Psychiatry and Mental health (111 citations), Physical Therapy, Sports Therapy and Rehabilitation (19 citations), Human-Computer Interaction (23 citations) and Cellular and Molecular Neuroscience (35 citations). Brian Tan has collaborated with scholars based in Canada, Japan and Australia. Frequent co-authors include Bruce V. Taylor, Suzi B. Claflin, Alicia J. Peltsch, Anthony E. Lang, Jeff C. H. Huang, Angela Roberts, Mandar Jog, Mario Masellis, Douglas P. Munoz and Paula M. McLaughlin. Their work appears in journals such as Alzheimer s & Dementia, Journal of Neurology, Brain Communications, International Journal of Geriatric Psychiatry and Frontiers in Psychiatry.
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.