Michael Boehnke

Michael Boehnke

University of Michigan

H-index: 167

North America-United States

About Michael Boehnke

Michael Boehnke, With an exceptional h-index of 167 and a recent h-index of 120 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Statistical and computational human genetics and genomics, complex traits, type 2 diabetes and related traits.

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

Genomic and proteomic evidence for hormonal and metabolic foundations of polycystic ovary syndrome

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

Fine-mapping genomic loci refines bipolar disorder risk genes

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

2023 ASHG Leadership Award: Nancy Cox

Genome-wide characterization of circulating metabolic biomarkers

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

Michael Boehnke Information

University

Position

Professor of Biostatistics

Citations(all)

173396

Citations(since 2020)

75276

Cited By

146645

hIndex(all)

167

hIndex(since 2020)

120

i10Index(all)

441

i10Index(since 2020)

312

Email

University Profile Page

Google Scholar

Michael Boehnke Skills & Research Interests

Statistical and computational human genetics and genomics

complex traits

type 2 diabetes and related traits

Top articles of Michael Boehnke

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

bioRxiv

2024

2023 ASHG Leadership Award: Nancy Cox

The American Journal of Human Genetics

2024/3/7

Michael Boehnke
Michael Boehnke

H-Index: 112

Differential gene expression by sex in skeletal muscle cell types

2023

Cell-type composition affects adipose gene expression associations with cardiometabolic traits

Diabetes

2023/11/1

Michael Boehnke
Michael Boehnke

H-Index: 112

Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

bioRxiv

2023/10/27

Genetic evidence that high BMI in childhood has a protective effect on intermediate diabetes traits, including measures of insulin sensitivity and secretion, after accounting …

Diabetologia

2023/8

70-OR: Identification of 489 Type 2 Diabetes Shared and Tissue-Specific Effector Genes by Integrating eQTL Data with a Multiancestry GWAS of 2.5 Million Individuals

Diabetes

2023/6/20

69-OR: Multiancestry Genome-Wide Association Study Reveals Distinct Biological Pathways and Cell Types Driving Type 2 Diabetes Risk with Heterogeneous Effects across Diverse …

Diabetes

2023/6/20

See List of Professors in Michael Boehnke University(University of Michigan)

Co-Authors

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