Bryan Li
Impact in
- Neurology top 10%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Transcranial Magnetic Stimulation Studies
Papers in
- Oncology 4
- Colorectal Cancer Treatments and Studies 2
- Cancer Treatment and Pharmacology 1
- HER2/EGFR in Cancer Research 1
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- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Jürgen Germann (2 shared papers)Gavin J.B. Elias (2 shared papers)Alexandre Boutet (3 shared papers)Andrés M. Lozano (3 shared papers)Aaron Loh (2 shared papers)Walter Kucharczyk (1 shared paper)Suresh E. Joel (1 shared paper)Ailish Coblentz (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Nature Communications (1 paper)Brain (1 paper)Postgraduate Medical Journal (1 paper)Journal of medical imaging and radiation sciences (1 paper)
In The Last Decade
Bryan Li
8 papers receiving 219 citations
Bryan Li's Hit Papers
Peers
Comparison fields: 5 of 57
- Neurology 126
- Neurology 39
- Health Informatics 6
- Cognitive Neuroscience 79
- Cellular and Molecular Neuroscience 52
Countries citing papers authored by Bryan Li
This map shows the geographic impact of Bryan Li'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 Bryan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Li more than expected).
Fields of papers citing papers by Bryan Li
This network shows the impact of papers produced by Bryan Li. 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 Bryan Li. The network helps show where Bryan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Li, 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 | Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning Hit paper breakdown → | 2021 | 184 |
| 2 | 2021 | 28 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 1 | |
| 8 | 2021 | 1 |
About Bryan Li
Bryan Li is a scholar working on Oncology, Hepatology, Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 8 papers that have together received 223 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Neurological disorders and treatments (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Functional Brain Connectivity Studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cancer Treatment and Pharmacology (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Neurology (126 citations), Neurology (39 citations), Health Informatics (6 citations), Cognitive Neuroscience (79 citations) and Cellular and Molecular Neuroscience (52 citations). Bryan Li has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Jürgen Germann, Gavin J.B. Elias, Alexandre Boutet, Andrés M. Lozano, Aaron Loh, Walter Kucharczyk, Suresh E. Joel, Ailish Coblentz, Mojgan Hodaie and Jeffrey Ashe. Their work appears in journals such as Journal of Clinical Oncology, Nature Communications, Brain, Postgraduate Medical Journal and Journal of medical imaging and radiation sciences.
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.