Hae Kyung Im

Hae Kyung Im

University of Chicago

H-index: 49

North America-United States

About Hae Kyung Im

Hae Kyung Im, With an exceptional h-index of 49 and a recent h-index of 39 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Statistical genetics, Complex trait prediction, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits

Integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.

Molecular quantitative trait loci

Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits

A splicing-based multi-tissue joint transcriptome-wide association study identifies susceptibility genes for breast cancer

Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci

On the problem of inflation in transcriptome-wide association studies

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

Hae Kyung Im Information

University

Position

Assistant Professor The

Citations(all)

29112

Citations(since 2020)

22223

Cited By

14957

hIndex(all)

49

hIndex(since 2020)

39

i10Index(all)

96

i10Index(since 2020)

79

Email

University Profile Page

Google Scholar

Hae Kyung Im Skills & Research Interests

Statistical genetics

Complex trait prediction

Statistics

Top articles of Hae Kyung Im

Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits

The American Journal of Human Genetics

2024/1/30

Integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.

bioRxiv

2024

Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits

The American Journal of Human Genetics

2023/1/5

A splicing-based multi-tissue joint transcriptome-wide association study identifies susceptibility genes for breast cancer

medRxiv

2023

Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci

Nature Computational Science

2023

On the problem of inflation in transcriptome-wide association studies

bioRxiv

2023/10/20

Yanyu Liang
Yanyu Liang

H-Index: 6

Hae Kyung Im
Hae Kyung Im

H-Index: 34

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

Human Genetics and Genomics Advances

2023/10/12

Revealing polygenic pleiotropy using genetic risk scores for asthma

Human Genetics and Genomics Advances

2023/10/12

Predicted proteome association studies of breast, prostate, ovarian, and endometrial cancers implicate plasma protein regulation in cancer susceptibility

Cancer Epidemiology, Biomarkers & Prevention

2023/9/1

Ani Manichaikul
Ani Manichaikul

H-Index: 45

Hae Kyung Im
Hae Kyung Im

H-Index: 34

Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation

Molecular Systems Biology

2023/8/8

Hae Kyung Im
Hae Kyung Im

H-Index: 34

A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes

The American Journal of Human Genetics

2023/6/1

The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci

Nature Computational Science

2023/5

Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries

Genome biology

2022/12

Discerning asthma endotypes through comorbidity mapping

Nature communications

2022/11/7

RatXcan: framework for translating genetic results between species via transcriptome-wide association analyses

2022/6/5

140-OR: Machine Learning for Metabolite Estimation to Examine Contributors to Glucose Homeostasis and Adiposity: The GUARDIAN Consortium

Diabetes

2022/6/1

Fine-mapping studies distinguish genetic risks for childhood-and adult-onset asthma in the HLA region

Genome Medicine

2022/5/24

See List of Professors in Hae Kyung Im University(University of Chicago)