Liesly Lee
Impact in
- Neurology top 5%
- Neurological disorders and treatments
-
- Multiple Sclerosis Research Studies
Papers in
-
- Multiple Sclerosis Research Studies 19
- Neurology 10
- Peripheral Neuropathies and Disorders 7
- Neurological disorders and treatments 2
- Co-authors
- Tejas SankarMartin ChapmanYuexi HuangMichael L. SchwartzKullervo HynynenAndrés M. LozanoNir LipsmanBrian J. Murray
- Journals
- Multiple Sclerosis and Related Disorders (6 papers)Multiple Sclerosis Journal (6 papers)Neurology (3 papers)Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (3 papers)Neuroradiology (1 paper)
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
Liesly Lee
30 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Neurology 321
- Neurology 132
- Pathology and Forensic Medicine 246
- Radiology, Nuclear Medicine and Imaging 294
- Internal Medicine 40
Countries citing papers authored by Liesly Lee
This map shows the geographic impact of Liesly Lee'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 Liesly Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liesly Lee more than expected).
Fields of papers citing papers by Liesly Lee
This network shows the impact of papers produced by Liesly Lee. 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 Liesly Lee. The network helps show where Liesly Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liesly Lee, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 1 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 20 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 6 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 30 | |
| 15 | 2015 | 20 | |
| 16 | 2014 | 47 | |
| 17 | 2014 | 63 | |
| 18 | MR-guided focused ultrasound thalamotomy for essential tremor: a proof-of-concept study Hit paper breakdown → | 2013 | 425 |
| 19 | 2010 | 9 | |
| 20 | 2006 | 49 |
About Liesly Lee
Liesly Lee is a scholar working on Pathology and Forensic Medicine, Neurology, Rheumatology, Rehabilitation and Internal Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (19 papers), Peripheral Neuropathies and Disorders (7 papers), Systemic Lupus Erythematosus Research (5 papers), Protein Tyrosine Phosphatases (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Stroke Rehabilitation and Recovery (2 papers), Neurological disorders and treatments (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Neurology (321 citations), Neurology (132 citations), Pathology and Forensic Medicine (246 citations), Radiology, Nuclear Medicine and Imaging (294 citations) and Internal Medicine (40 citations). Liesly Lee has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Tejas Sankar, Martin Chapman, Yuexi Huang, Michael L. Schwartz, Kullervo Hynynen, Andrés M. Lozano, Nir Lipsman, Brian J. Murray, Paul O’Connor and Sandra E. Black. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Neurology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques and Neuroradiology.
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.