Suh Lee
Impact in
- Psychiatry and Mental health top 2%
- Dementia and Cognitive Impairment Research
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
-
- Dementia and Cognitive Impairment Research 6
-
- Advanced Neuroimaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 2
- Co-authors
- Paul M. Thompson (12 shared papers)Xue Hua (11 shared papers)Arthur W. Toga (10 shared papers)Michael Walter Weiner (10 shared papers)Clifford R. Jack (9 shared papers)Alex Leow (8 shared papers)Derrek P. Hibar (4 shared papers)April J. Ho (4 shared papers)
- Journals
- NeuroImage (4 papers)Neurobiology of Aging (3 papers)Human Brain Mapping (1 paper)Cancers (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesIrelandSouth Korea
In The Last Decade
Suh Lee
14 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Psychiatry and Mental health 595
- Cognitive Neuroscience 403
- Neurology 155
- Radiology, Nuclear Medicine and Imaging 377
- Physiology 426
Countries citing papers authored by Suh Lee
This map shows the geographic impact of Suh 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 Suh Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suh Lee more than expected).
Fields of papers citing papers by Suh Lee
This network shows the impact of papers produced by Suh 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 Suh Lee. The network helps show where Suh Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Suh 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 | 2008 | 296 | |
| 2 | 2010 | 216 | |
| 3 | 2010 | 183 | |
| 4 | 2010 | 172 | |
| 5 | 2010 | 166 | |
| 6 | 2012 | 144 | |
| 7 | 2009 | 123 | |
| 8 | 2010 | 70 | |
| 9 | 2009 | 64 | |
| 10 | 2009 | 47 | |
| 11 | 2013 | 41 | |
| 12 | 2012 | 27 | |
| 13 | 2019 | 8 | |
| 14 | 2011 | 1 |
About Suh Lee
Suh Lee is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Physiology, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Alzheimer's disease research and treatments (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced MRI Techniques and Applications (2 papers), Computational Drug Discovery Methods (2 papers), Statistical Methods in Clinical Trials (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Psychiatry and Mental health (595 citations), Cognitive Neuroscience (403 citations), Neurology (155 citations), Radiology, Nuclear Medicine and Imaging (377 citations) and Physiology (426 citations). Suh Lee has collaborated with scholars based in United States, Ireland and South Korea. Frequent co-authors include Paul M. Thompson, Xue Hua, Arthur W. Toga, Michael Walter Weiner, Clifford R. Jack, Alex Leow, Derrek P. Hibar, April J. Ho, Neelroop Parikshak and Jason L. Stein. Their work appears in journals such as NeuroImage, Neurobiology of Aging, Human Brain Mapping, Cancers and Diabetes.
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.