Suh Lee

2.5k total citations
13 papers, 1.4k citations indexed

About

Suh Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Suh Lee has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Psychiatry and Mental health and 5 papers in Physiology. Recurrent topics in Suh Lee's work include Advanced Neuroimaging Techniques and Applications (6 papers), Dementia and Cognitive Impairment Research (5 papers) and Alzheimer's disease research and treatments (4 papers). Suh Lee is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), Dementia and Cognitive Impairment Research (5 papers) and Alzheimer's disease research and treatments (4 papers). Suh Lee collaborates with scholars based in United States, South Korea and Ireland. Suh Lee's co-authors include Paul M. Thompson, Xue Hua, Arthur W. Toga, Michael W. Weiner, Clifford R. Jack, Alex Leow, Derrek P. Hibar, April J. Ho, Neelroop Parikshak and Tony F. Chan and has published in prestigious journals such as NeuroImage, Diabetes and Biological Psychiatry.

In The Last Decade

Suh Lee

13 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suh Lee United States 12 613 521 442 417 231 13 1.4k
Derrek P. Hibar United States 24 497 0.8× 480 0.9× 576 1.3× 434 1.0× 451 2.0× 62 1.9k
April J. Ho United States 9 493 0.8× 658 1.3× 462 1.0× 360 0.9× 179 0.8× 10 1.7k
Hillary Protas United States 15 514 0.8× 597 1.1× 250 0.6× 252 0.6× 145 0.6× 29 1.1k
Enrica Cavedo Italy 20 681 1.1× 692 1.3× 497 1.1× 300 0.7× 236 1.0× 35 1.7k
Cristina Testa Italy 22 814 1.3× 574 1.1× 586 1.3× 363 0.9× 165 0.7× 37 1.7k
Meredith N. Braskie United States 28 676 1.1× 768 1.5× 638 1.4× 407 1.0× 328 1.4× 79 2.0k
Alison C. Burggren United States 24 926 1.5× 985 1.9× 788 1.8× 420 1.0× 236 1.0× 32 2.1k
Yun Xu China 13 1.0k 1.6× 838 1.6× 628 1.4× 489 1.2× 226 1.0× 32 1.9k
Matthew Bobinski United States 19 858 1.4× 936 1.8× 485 1.1× 417 1.0× 215 0.9× 50 2.0k
L.A. Saint Louis United States 10 585 1.0× 580 1.1× 481 1.1× 214 0.5× 294 1.3× 11 1.3k

Countries citing papers authored by Suh Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Suh Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Suh Lee. A scholar is included among the top collaborators of Suh Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suh Lee. Suh Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Song, Woo‐Jin, Prosenjit Mondal, Yuanyuan Li, Suh Lee, & Mehboob A. Hussain. (2013). Pancreatic β-Cell Response to Increased Metabolic Demand and to Pharmacologic Secretagogues Requires EPAC2A. Diabetes. 62(8). 2796–2807. 40 indexed citations
3.
Lee, Grace J., Po H. Lu, Xue Hua, et al.. (2012). Depressive Symptoms in Mild Cognitive Impairment Predict Greater Atrophy in Alzheimer's Disease-Related Regions. Biological Psychiatry. 71(9). 814–821. 134 indexed citations
4.
Gogtay, Nitin, Xue Hua, Reva Stidd, et al.. (2012). Delayed White Matter Growth Trajectory in Young Nonpsychotic Siblings of Patients With Childhood-Onset Schizophrenia. Archives of General Psychiatry. 69(9). 875–875. 26 indexed citations
5.
Hua, Xue, Suh Lee, Derrek P. Hibar, et al.. (2010). Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals. NeuroImage. 51(1). 63–75. 64 indexed citations
6.
Stein, Jason L., Xue Hua, Suh Lee, et al.. (2010). Voxelwise genome-wide association study (vGWAS). NeuroImage. 53(3). 1160–1174. 196 indexed citations
7.
Hua, Xue, Derrek P. Hibar, Suh Lee, et al.. (2010). Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans. Neurobiology of Aging. 31(8). 1463–1480. 164 indexed citations
8.
Ho, April J., Cyrus A. Raji, James T. Becker, et al.. (2010). Obesity is linked with lower brain volume in 700 AD and MCI patients. Neurobiology of Aging. 31(8). 1326–1339. 173 indexed citations
9.
Kohannim, Omid, Xue Hua, Derrek P. Hibar, et al.. (2010). Boosting power for clinical trials using classifiers based on multiple biomarkers. Neurobiology of Aging. 31(8). 1429–1442. 150 indexed citations
10.
11.
Yanovsky, Igor, Alex Leow, Suh Lee, Stanley Osher, & Paul M. Thompson. (2009). Comparing registration methods for mapping brain change using tensor-based morphometry. Medical Image Analysis. 13(5). 679–700. 43 indexed citations
12.
Ho, April J., Xue Hua, Suh Lee, et al.. (2009). Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor‐based morphometry. Human Brain Mapping. 31(4). 499–514. 59 indexed citations
13.
Hua, Xue, Alex Leow, Neelroop Parikshak, et al.. (2008). Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects. NeuroImage. 43(3). 458–469. 273 indexed citations

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.

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