Regina E. Y. Kim

857 total citations
52 papers, 524 citations indexed

About

Regina E. Y. Kim is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Regina E. Y. Kim has authored 52 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Psychiatry and Mental health, 18 papers in Cognitive Neuroscience and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Regina E. Y. Kim's work include Dementia and Cognitive Impairment Research (17 papers), Functional Brain Connectivity Studies (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Regina E. Y. Kim is often cited by papers focused on Dementia and Cognitive Impairment Research (17 papers), Functional Brain Connectivity Studies (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Regina E. Y. Kim collaborates with scholars based in United States, South Korea and France. Regina E. Y. Kim's co-authors include Hans J. Johnson, Chol Shin, Donghyeon Kim, Minho Lee, Hyun Kook Lim, Jane S. Paulsen, Vincent A. Magnotta, Seung Ku Lee, Soriul Kim and Dong Woo Kang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Regina E. Y. Kim

49 papers receiving 520 citations

Peers

Regina E. Y. Kim

PHYSI

PMH

CMN

RNMI

Christopher J.M. Scott Canada

Laura W. de Jong Netherlands

Oliver Preische Germany

Raphael Fernandes Casseb Brazil

Sona Babakchanian United States

Vittorio Accomazzi Canada

Mario Torso United Kingdom

Marina Weiler Brazil

Joost M. Riphagen Netherlands

Tracey Pepple United Kingdom

Christopher J.M. Scott Canada

Regina E. Y. Kim

119 ×1.0

PHYSI

173 ×1.5

PMH

203 ×1.8

CMN

133 ×1.3

195 ×1.9

RNMI

Citations per year, relative to Regina E. Y. Kim Regina E. Y. Kim (= 1×) peers Christopher J.M. Scott

Countries citing papers authored by Regina E. Y. Kim

Since Specialization

Citations

This map shows the geographic impact of Regina E. Y. Kim'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 Regina E. Y. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regina E. Y. Kim more than expected).

Fields of papers citing papers by Regina E. Y. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Regina E. Y. Kim. 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 Regina E. Y. Kim. The network helps show where Regina E. Y. Kim may publish in the future.

Co-authorship network of co-authors of Regina E. Y. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Regina E. Y. Kim. A scholar is included among the top collaborators of Regina E. Y. Kim 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 Regina E. Y. Kim. Regina E. Y. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kang, Dong Woo, Yoo Hyun Um, Eun Ji Han, et al.. (2024). A Comparative Analysis of Two Automated Quantification Methods for Regional Cerebral Amyloid Retention: PET-Only and PET-and-MRI-Based Methods. International Journal of Molecular Sciences. 25(14). 7649–7649. 1 indexed citations

Choe, Yeong Sim, Regina E. Y. Kim, Jee Young Kim, et al.. (2024). Automated Scoring of Alzheimer’s Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation. Journal of Alzheimer s Disease Reports. 8(1). 863–876.

Lee, Hyunji, Minho Lee, Donghyeon Kim, et al.. (2024). Evaluating brain volume segmentation accuracy and reliability of FreeSurfer and Neurophet AQUA at variations in MRI magnetic field strengths. Scientific Reports. 14(1). 24513–24513. 2 indexed citations

Wang, Sheng‐Min, Dong Woo Kang, Yoo Hyun Um, et al.. (2024). Development of Efficient Brain Age Estimation Method Based on Regional Brain Volume From Structural Magnetic Resonance Imaging. Psychiatry Investigation. 21(1). 37–43. 3 indexed citations

Um, Yoo Hyun, Sheng‐Min Wang, Regina E. Y. Kim, et al.. (2023). Associations between Education Years and Resting-state Functional Connectivity Modulated by APOE ε4 Carrier Status in Cognitively Normal Older Adults. Clinical Psychopharmacology and Neuroscience. 22(1). 169–181. 3 indexed citations

Wang, Sheng‐Min, Dong Woo Kang, Yoo Hyun Um, et al.. (2023). Cognitive Normal Older Adults with APOE-2 Allele Show a Distinctive Functional Connectivity Pattern in Response to Cerebral Aβ Deposition. International Journal of Molecular Sciences. 24(14). 11250–11250. 1 indexed citations

Um, Yoo Hyun, Sheng‐Min Wang, Dong Woo Kang, et al.. (2023). Sex-Related Disparities in the Resting State Functional Connectivity of the Locus Coeruelus and Salience Network in Preclinical Alzheimer’s Disease. International Journal of Molecular Sciences. 24(20). 15092–15092. 1 indexed citations

Park, Sung‐Hwan, Hyun Gi Kim, Minho Lee, et al.. (2023). A regional brain volume–based age prediction model for neonates and the derived brain maturation index. European Radiology. 34(6). 3892–3902.

Kim, Regina E. Y., Minho Lee, Dong Woo Kang, et al.. (2023). Increased Likelihood of Dementia with Coexisting Atrophy of Multiple Regions of Interest. Journal of Alzheimer s Disease. 97(1). 259–271. 2 indexed citations

10.

Kim, Regina E. Y., et al.. (2023). A Fully Automated Visual Grading System for White Matter Hyperintensities of T2-Fluid Attenuated Inversion Recovery Magnetic Resonance Imaging. Journal of Integrative Neuroscience. 22(3). 57–57. 5 indexed citations

11.

Kim, Sung‐Hwan, Yoo Hyun Um, Sheng‐Min Wang, et al.. (2023). Modulation of associations between education years and cortical volume in Alzheimer’s disease vulnerable brain regions by Aβ deposition and APOE ε4 carrier status in cognitively normal older adults. Frontiers in Aging Neuroscience. 15. 1248531–1248531. 4 indexed citations

12.

Yu, Ji Hee, Regina E. Y. Kim, So Young Park, et al.. (2022). Night blood pressure variability, brain atrophy, and cognitive decline. Frontiers in Neurology. 13. 963648–963648. 4 indexed citations

13.

Yu, Ji Hee, Regina E. Y. Kim, So Young Park, et al.. (2022). Association of long‐term hyperglycaemia and insulin resistance with brain atrophy and cognitive decline: A longitudinal cohort study. Diabetes Obesity and Metabolism. 25(4). 1091–1100. 11 indexed citations

14.

Park, Chang-Hyun, Regina E. Y. Kim, Hyeon Jin Kim, et al.. (2021). Cerebellar White Matter Abnormalities in Charcot–Marie–Tooth Disease: A Combined Volumetry and Diffusion Tensor Imaging Analysis. Journal of Clinical Medicine. 10(21). 4945–4945. 2 indexed citations

15.

Kim, Jee Young, Regina E. Y. Kim, Minho Lee, et al.. (2021). Semi-Supervised Learning in Medical MRI Segmentation: Brain Tissue with White Matter Hyperintensity Segmentation Using FLAIR MRI. Brain Sciences. 11(6). 720–720. 14 indexed citations

16.

Kim, Hyeon Jin, Regina E. Y. Kim, Soriul Kim, et al.. (2021). Sex differences in deterioration of sleep properties associated with aging: a 12-year longitudinal cohort study. Journal of Clinical Sleep Medicine. 17(5). 964–972. 20 indexed citations

17.

Kim, Regina E. Y., Minho Lee, Dong Woo Kang, et al.. (2020). Deep Learning-Based Segmentation to Establish East Asian Normative Volumes Using Multisite Structural MRI. Diagnostics. 11(1). 13–13. 13 indexed citations

18.

Lee, Minho, Jee Young Kim, Regina E. Y. Kim, et al.. (2020). Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI. Brain Sciences. 10(12). 974–974. 40 indexed citations

19.

Shaffer, Joseph J., Jeffrey D. Long, Regina E. Y. Kim, et al.. (2017). Longitudinal diffusion changes in prodromal and early HD: Evidence of white-matter tract deterioration. PMC. 1 indexed citations

20.

Kim, Regina E. Y., et al.. (2014). Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data. Magnetic Resonance Imaging. 32(7). 832–844. 19 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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