Jonathan C. Lau
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Epilepsy research and treatment 12
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- EEG and Brain-Computer Interfaces 8
- Functional Brain Connectivity Studies 7
- Co-authors
- Ali R. KhanJordan DeKrakerAndrew G. ParrentStefan KöhlerJohn G. SledAlan C. EvansR. Mark HenkelmanJason P. Lerch
- Journals
- NeuroImage (6 papers)World Neurosurgery (3 papers)Cell Reports (3 papers)Neuromodulation Technology at the Neural Interface (3 papers)Human Brain Mapping (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jonathan C. Lau
49 papers receiving 778 citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 260
- Radiology, Nuclear Medicine and Imaging 248
- Psychiatry and Mental health 160
- Cellular and Molecular Neuroscience 170
- Neurology 117
Countries citing papers authored by Jonathan C. Lau
This map shows the geographic impact of Jonathan C. Lau'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 Jonathan C. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Lau more than expected).
Fields of papers citing papers by Jonathan C. Lau
This network shows the impact of papers produced by Jonathan C. Lau. 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 Jonathan C. Lau. The network helps show where Jonathan C. Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan C. Lau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 41 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 16 | |
| 17 | 2017 | 43 | |
| 18 | 2016 | 6 | |
| 19 | 2015 | 1 | |
| 20 | 2008 | 115 |
About Jonathan C. Lau
Jonathan C. Lau is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 789 indexed citations. Recurring topics across this work include Epilepsy research and treatment (12 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Neurological disorders and treatments (11 papers), Advanced MRI Techniques and Applications (11 papers), EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (7 papers), Glioma Diagnosis and Treatment (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (260 citations), Radiology, Nuclear Medicine and Imaging (248 citations), Psychiatry and Mental health (160 citations), Cellular and Molecular Neuroscience (170 citations) and Neurology (117 citations). Jonathan C. Lau has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ali R. Khan, Jordan DeKraker, Andrew G. Parrent, Stefan Köhler, John G. Sled, Alan C. Evans, R. Mark Henkelman, Jason P. Lerch, Barry J. Bedell and Joseph Megyesi. Their work appears in journals such as NeuroImage, World Neurosurgery, Cell Reports, Neuromodulation Technology at the Neural Interface and Human Brain Mapping.
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.