Veerabhadran Baladandayuthapani

Biochemistry, Genetics and Molecular Biology · University of Michigan

Mid career · publishing since 2005Rising activity

Gene expression and cancer classification Bioinformatics and Genomic Networks Computational Drug Discovery Methods Statistical Methods and Inference Radiopharmaceutical Chemistry and Applications

Publications

357

Citations

5,316

Est. group size

~26

Recurring co-author estimate

Active years

Publishing since 2005

In context

Among 1,692 mid career Biochemistry, Genetics and Molecular Biology PIs within our index

Citations: 5,316cohort median 809

Publications / year (recent): 31.6cohort median 3.2

Typically publishes in teams of ~5 · 20% small-team papers (≤3 authors) · across 40 venues

Publication cadence

Publications per year over the last 10 years — averaging 31.6/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

A Time-Varying and Covariate-Dependent Correlation Model for Multivariate Longitudinal Studies
Open MIND · 2026
A Time-Varying and Covariate-Dependent Correlation Model for Multivariate Longitudinal Studies
arXiv (Cornell University) · 2026
Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
bioRxiv (Cold Spring Harbor Laboratory) · 2026
Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
arXiv (Cornell University) · 2026
Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
arXiv (Cornell University) · 2026
Structure Learning on Clustered Data
arXiv (Cornell University) · 2026
Structure Learning on Clustered Data
arXiv (Cornell University) · 2026
A probabilistic modeling framework for genomic networks incorporating sample heterogeneity
Cell Reports Methods · 2025
Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Clinicogenomic Data
Journal of the American Statistical Association · 2024
Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe)
Journal of Computational and Graphical Statistics · 2024
GraphR: A Probabilistic Modeling Framework for Genomic Networks Incorporating Sample Heterogeneity
SSRN Electronic Journal · 2024
Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
arXiv (Cornell University) · 2024
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics
Stat · 2024
Connectivity Regression
Biostatistics · 2024
Probabilistic learning of treatment trees in cancer
The Annals of Applied Statistics · 2023

Publishes in

arXiv (Cornell University)×29
bioRxiv (Cold Spring Harbor Laboratory)×10
Figshare×10
Journal of the American Statistical Association×9
The Annals of Applied Statistics×6

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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