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Sungeun Kim

Harvard University · US
Area of research
Astronomy and Astrophysics · Molecular Biology
Research interest
Research interests include Astrophysics and Star Formation Studies, Stellar, planetary, and galactic studies, Bioinformatics and Genomic Networks, and Functional Brain Connectivity Studies.
h-index
48
citations
11,214
works
270
NIH funding
primary concept
email

Recent publications

Multiomics analysis to explore blood metabolite biomarkers in an Alzheimer’s Disease Neuroimaging Initiative cohort
Scientific Reports 2024cited by 26position: middledoi
A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease
Alzheimer s Research & Therapy 2024cited by 17position: middledoi
Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction
Communications Medicine 2023cited by 69position: middledoi
Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
JAMA Psychiatry 2022cited by 145position: middledoi
Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease
Nature Communications 2022cited by 129position: middledoi
An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease
Nature Aging 2022cited by 46position: middledoi
Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease
Nature Communications 2022cited by 43position: middledoi
The trend of disruption in the functional brain network topology of Alzheimer’s disease
Scientific Reports 2022cited by 40position: middledoi
Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease
Nature Communications 2021cited by 100position: middledoi
A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
Nature Communications 2021cited by 99position: middledoi
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
Scientific Reports 2021cited by 31position: middledoi
Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Nature Communications 2020cited by 534position: middledoi
Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology
Scientific Reports 2020cited by 134position: middledoi
Women can bear a bigger burden: ante- and post-mortem evidence for reserve in the face of tau
Brain Communications 2020cited by 85position: middledoi
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease
Scientific Reports 2020cited by 20position: middledoi
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Scientific Reports 2019cited by 398position: middledoi
Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics
Scientific Reports 2019cited by 93position: middledoi
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Scientific Reports 2019cited by 47position: middledoi
Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis
Proceedings of the National Academy of Sciences 2018cited by 103position: middledoi
Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease
Scientific Reports 2018cited by 27position: middledoi
Novel genetic loci associated with hippocampal volume
Nature Communications 2017cited by 334position: middledoi
Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Scientific Reports 2017cited by 83position: middledoi
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology
Nature Communications 2016cited by 344position: middledoi
Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease
Proceedings of the National Academy of Sciences 2016cited by 190position: middledoi
Morphometricity as a measure of the neuroanatomical signature of a trait
Proceedings of the National Academy of Sciences 2016cited by 71position: middledoi
Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
Scientific Reports 2016cited by 32position: middledoi
A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease
Scientific Reports 2016cited by 15position: middledoi
Common genetic variants influence human subcortical brain structures
Nature 2015cited by 934position: middledoi
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE
Nature Communications 2015cited by 325position: middledoi
Large-scale genomics unveil polygenic architecture of human cortical surface area
Nature Communications 2015cited by 36position: middledoi

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