World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

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

Mathematics

D-Index
58
Citations
13217
World Ranking
636
National Ranking
322

Wei Pan publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Wei Pan sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 178 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Wei Pan D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Wei Pan sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 58 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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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