World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
58
Citations
13217
World Ranking
636
National Ranking
321

Genetics

D-Index
61
Citations
15779
World Ranking
3049
National Ranking
1331

Research.com Recognitions

  • 2010 - Fellow of the American Statistical Association (ASA)

Overview

Wei Pan is affiliated with the University of Minnesota in the United States and has contributed extensively to the field of Biochemistry, Genetics, and Molecular Biology. Their research output spans across 145 publications, with significant focus on genetics and molecular biology, supported by substantial work in statistics and probability as well as artificial intelligence and cardiology and cardiovascular medicine.

The main research topics addressed by Wei Pan include genetic associations and epidemiology, bioinformatics and genomic networks, genetic mapping and diversity in plants and animals, genetic and phenotypic traits in livestock, gene expression and cancer classification, statistical methods and inference, and advanced causal inference techniques. These areas reflect a broad and interdisciplinary approach to understanding genetic data and their applications.

Wei Pan has authored multiple papers in respected journals. Some notable recent publications include:

  • Guidelines for performing Mendelian randomization investigations: update for summer 2023 (2023, Wellcome Open Research)
  • Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects (2021, The American Journal of Human Genetics)
  • Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model (2021, PLoS Genetics)
  • Deep reinforcement learning for personalized treatment recommendation (2022, Statistics in Medicine)
  • Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data (2020, NeuroImage)

Publication venues that frequently feature Wei Pan's work include:

  • PLoS Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Genetic Epidemiology
  • The American Journal of Human Genetics
  • Statistics in Medicine

Collaborative research is a significant part of Wei Pan's work. Frequent co-authors include Xiaotong Shen, Haoran Xue, Zhaotong Lin, Yangqing Deng, and Katherine A. Knutson. These collaborations have contributed greatly to publications and advancing knowledge within their research community.

Wei Pan was recognized by peers through election as a Fellow of the American Statistical Association in 2010.

Best Publications

  • Akaike's Information Criterion in Generalized Estimating Equations

    Wei Pan

  • Guidelines for performing Mendelian randomization investigations.

    Stephen Burgess;George Davey Smith;Neil M Davies;Frank Dudbridge

  • A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments.

    Wei Pan

  • A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants

    Fang Han;Wei Pan

  • Penalized Model-Based Clustering with Application to Variable Selection

    Wei Pan;Xiaotong Shen

  • Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects.

    Haoran Xue;Xiaotong Shen;Wei Pan

  • Likelihood-based selection and sharp parameter estimation.

    Xiaotong Shen;Wei Pan;Yunzhang Zhu

  • Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model.

    Zhaotong Lin;Yangqing Deng;Wei Pan

  • Identification of genes responsible for osteoblast differentiation from human mesodermal progenitor cells

    Huilin Qi;Dean J. Aguiar;Dean J. Aguiar;Shelly M. Williams;Alison La Pean

  • Asymptotic Tests of Association with Multiple SNPs in Linkage Disequilibrium

    Wei Pan

  • Comparison of statistical tests for disease association with rare variants

    Saonli Basu;Wei Pan

  • How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach

    Wei Pan;Jizhen Lin;Chap T Le

  • Winter severity, survival, and cause-specific mortality of female white-tailed deer in north-central Minnesota

    Glenn D. Delgiudice;Michael R. Riggs;Pierre Joly;Wei Pan

  • A multiple imputation approach to Cox regression with interval-censored data.

    Wei Pan

  • A mixture model approach to detecting differentially expressed genes with microarray data

    Wei Pan;Jizhen Lin;Chap T. Le

  • Small‐sample adjustments in using the sandwich variance estimator in generalized estimating equations

    Wei Pan;Melanie M. Wall

  • Model-based cluster analysis of microarray gene-expression data

    Wei Pan;Jizhen Lin;Chap T Le

  • A Powerful and Adaptive Association Test for Rare Variants

    Wei Pan;Junghi Kim;Yiwei Zhang;Xiaotong T Shen

  • Extending the Iterative Convex Minorant Algorithm to the Cox Model for Interval-Censored Data

    Wei Pan

  • A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data

    Yang Xie;Wei Pan;Arkady B. Khodursky

  • Incorporating Predictor Network in Penalized Regression with Application to Microarray Data

    Wei Pan;Benhuai Xie;Xiaotong Shen

  • Incorporating gene functions as priors in model-based clustering of microarray gene expression data

    Wei Pan

  • Linear regression and two-class classification with gene expression data.

    Xiaohong Huang;Wei Pan

  • Excerpts From the United States Renal Data System 2002 Annual Data Report

    Allan J. Collins;Bertram Kasiske;Charles Herzog;Shu Cheng Chen

Frequent Co-Authors

Xiaotong Shen
Xiaotong Shen University of Minnesota
Daniel J. Garry
Daniel J. Garry University of Minnesota
Yang Xie
Yang Xie The University of Texas Southwestern Medical Center
Robert P. Hebbel
Robert P. Hebbel University of Minnesota
John E. Connett
John E. Connett University of Minnesota
Alvaro Alonso
Alvaro Alonso Emory University
Rick Chappell
Rick Chappell University of Wisconsin–Madison
Susan R. Heckbert
Susan R. Heckbert University of Washington
Aaron R. Folsom
Aaron R. Folsom University of Minnesota
Anthony Rodgers
Anthony Rodgers University of New South Wales

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