Kwanghyuk Lee

Kwanghyuk Lee

Baylor College of Medicine

H-index: 32

North America-United States

About Kwanghyuk Lee

Kwanghyuk Lee, With an exceptional h-index of 32 and a recent h-index of 23 (since 2020), a distinguished researcher at Baylor College of Medicine, specializes in the field of Human Genetics, Genome Sciences, Computational Biology.

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

Functional variants identify sex-specific genes and pathways in Alzheimer’s Disease

Correction to: Rare variants in ANO1, encoding a calcium-activated chloride channel, predispose to moyamoya disease

Evolutionary Action–Machine Learning Model Identifies Candidate Genes Associated With Early‐Onset Coronary Artery Disease

Rare variants in ANO1, encoding a calcium-activated chloride channel, predispose to moyamoya disease

An FBN1 deep intronic variant is associated with pseudoexon formation and a variable Marfan phenotype in a five generation family

Identification of risk genes for Alzheimer’s disease by gene embedding

EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants

Kwanghyuk Lee Information

University

Position

___

Citations(all)

3652

Citations(since 2020)

1750

Cited By

2755

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

59

i10Index(since 2020)

38

Email

University Profile Page

Baylor College of Medicine

Google Scholar

View Google Scholar Profile

Kwanghyuk Lee Skills & Research Interests

Human Genetics

Genome Sciences

Computational Biology

Top articles of Kwanghyuk Lee

Title

Journal

Author(s)

Publication Date

Functional variants identify sex-specific genes and pathways in Alzheimer’s Disease

Alzheimer's & Dementia

Kwanghyuk Danny Lee

Thomas Bourquard

Ismael Al‐Ramahi

Minh Pham

Dillon Shapiro

...

2023/12

Correction to: Rare variants in ANO1, encoding a calcium-activated chloride channel, predispose to moyamoya disease

Brain

Amélie Pinard

Wenlei Ye

Stuart M Fraser

Jill A Rosenfeld

Pavel Pichurin

...

2023

Evolutionary Action–Machine Learning Model Identifies Candidate Genes Associated With Early‐Onset Coronary Artery Disease

Journal of the American Heart Association

Dillon Shapiro

Kwanghyuk Lee

Jennifer Asmussen

Thomas Bourquard

Olivier Lichtarge

2023/9/5

Rare variants in ANO1, encoding a calcium-activated chloride channel, predispose to moyamoya disease

Brain

Amélie Pinard

Wenlei Ye

Stuart M Fraser

Jill A Rosenfeld

Pavel Pichurin

...

2023/9

An FBN1 deep intronic variant is associated with pseudoexon formation and a variable Marfan phenotype in a five generation family

Clinical Genetics

Dong‐chuan Guo

Xueyan Duan

Kathleen Mimnagh

Alana C Cecchi

Isabella C Marin

...

2023/6

Identification of risk genes for Alzheimer’s disease by gene embedding

Cell Genomics

OlivierLichtarge Yashwanth Lagisetty

Thomas Bourquard

Ismael Al-Ramahi

Carl Grant Mangleburg

Samantha Mota

...

2022/9/14

EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants

Nucleic Acids Research

Saeid Parvandeh

Lawrence A Donehower

Panagiotis Katsonis

Teng-Kuei Hsu

Jennifer K Asmussen

...

2022/7/8

See List of Professors in Kwanghyuk Lee University(Baylor College of Medicine)