World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
47
Citations
18037
World Ranking
1231
National Ranking
546

Haitao Chu 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 Haitao Chu 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: 251 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Haitao Chu 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 Haitao Chu 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: 47 D-Index — 66th percentile

66% 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

  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Haitao Chu is affiliated with the University of Minnesota in the United States. Their research primarily spans the field of Medicine, with a significant focus on statistical and methodological approaches applied within clinical research.

The main fields of study for Haitao Chu include:

  • Medicine

Their subfields of study cover various aspects of statistics and health sciences, including:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Economics and Econometrics
  • Infectious Diseases
  • Hematology

Research topics frequently addressed by Haitao Chu are:

  • Meta-analysis and systematic reviews
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Advanced Causal Inference Techniques
  • Economic and Environmental Valuation
  • Statistical Methods and Inference

Haitao Chu has published extensively, with notable recent papers including:

  • "Optimally estimating the sample standard deviation from the five-number summary," 2020, Research Synthesis Methods
  • "Meta-analysis of Proportions Using Generalized Linear Mixed Models," 2020, Epidemiology
  • "Characterizing Long COVID: Deep Phenotype of a Complex Condition," 2021, EBioMedicine
  • "Effectiveness of Messenger RNA Coronavirus Disease 2019 (COVID-19) Vaccines Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in a Cohort of Healthcare Personnel," 2021, Clinical Infectious Diseases
  • "Exclusion of studies with no events in both arms in meta-analysis impacted the conclusions," 2020, Journal of Clinical Epidemiology

Frequent publication venues for Haitao Chu include:

  • UNC Libraries
  • Research Synthesis Methods
  • Journal of Clinical Epidemiology
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated extensively with several coauthors. Frequent collaborators include:

  • Lifeng Lin
  • Yong Chen
  • Joseph C. Cappelleri
  • Stephen R. Cole
  • M. Hassan Murad

Recognition for Haitao Chu's professional contributions includes being named a Fellow of the American Statistical Association (ASA) in 2016.

Best Publications

  • An intervention to decrease catheter-related bloodstream infections in the ICU

    Peter Pronovost;Dale Needham;Sean Berenholtz;David Sinopoli

  • Quantifying publication bias in meta-analysis

    Lifeng Lin;Haitao Chu

  • Illustrating bias due to conditioning on a collider

    Stephen R Cole;Robert W. Platt;Enrique F. Schisterman;Haitao Chu

  • Off-pump coronary artery bypass grafting provides complete revascularization with reduced myocardial injury, transfusion requirements, and length of stay: A prospective randomized comparison of two hundred unselected patients undergoing off-pump versus conventional coronary artery bypass grafting

    J.D. Puskas;W.H. Williams;P.G. Duke;J.R. Staples

  • Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach.

    Haitao Chu;Stephen R. Cole

  • Optimally estimating the sample standard deviation from the five-number summary.

    Jiandong Shi;Dehui Luo;Hong Weng;Xian Tao Zeng

  • Basic Concepts and Methods for Joint Models of Longitudinal and Survival Data

    Joseph G. Ibrahim;Haitao Chu;Liddy M. Chen

  • Empirical Comparison of Publication Bias Tests in Meta-Analysis

    Lifeng Lin;Haitao Chu;Mohammad Hassan Murad;Chuan Hong

  • Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution

    Christopher Cox;Haitao Chu;Michael F. Schneider;Alvaro Muñoz

  • Multiple-imputation for measurement-error correction

    Stephen R Cole;Haitao Chu;Sander Greenland

  • Meta-analysis of Proportions Using Generalized Linear Mixed Models.

    Lifeng Lin;Haitao Chu

  • When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation

    Mohammad Hassan Murad;Zhen Wang;Haitao Chu;Lifeng Lin

  • Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer

    Stephen R. Cole;Haitao Chu;Sander Greenland

  • Missing Data in Clinical Studies: Issues and Methods

    Joseph G. Ibrahim;Haitao Chu;Ming Hui Chen

  • The effect of publication bias magnitude and direction on the certainty in evidence.

    Mohammad Hassan Murad;Haitao Chu;Lifeng Lin;Zhen Wang

  • Pulmonary Outcomes of Off-Pump vs On-Pump Coronary Artery Bypass Surgery in a Randomized Trial

    Gerald W Staton;Willis H Williams;Elizabeth M Mahoney;Jeff Hu

  • Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package.

    Lifeng Lin;Jing Zhang;James S Hodges;Haitao Chu

  • A Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons

    Hwanhee Hong;Haitao Chu;Jing Zhang;Bradley P. Carlin

  • Estimating the odds ratio when exposure has a limit of detection

    Stephen R Cole;Haitao Chu;Lei Nie;Enrique F Schisterman

  • Alternative measures of between-study heterogeneity in meta-analysis: Reducing the impact of outlying studies.

    Lifeng Lin;Haitao Chu;James S. Hodges

  • A statistical framework for Illumina DNA methylation arrays

    Pei Fen Kuan;Sijian Wang;Xin Zhou;Haitao Chu

  • Network Meta-analysis of Randomized Clinical Trials: Reporting the Proper Summaries

    Jing Zhang;Bradley P. Carlin;James D. Neaton;Guoxing Greg Soon

Frequent Co-Authors

Stephen R. Cole
Stephen R. Cole University of North Carolina at Chapel Hill
Joseph G. Ibrahim
Joseph G. Ibrahim University of North Carolina at Chapel Hill
Bradley P. Carlin
Bradley P. Carlin University of Minnesota
M. Elizabeth Halloran
M. Elizabeth Halloran Fred Hutchinson Cancer Research Center
Sander Greenland
Sander Greenland University of California, Los Angeles
Stephen J. Gange
Stephen J. Gange Johns Hopkins University
Alvaro Alonso
Alvaro Alonso Emory University
Donald R. Hoover
Donald R. Hoover Rutgers, The State University of New Jersey
Alvaro Muñoz
Alvaro Muñoz Johns Hopkins University
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory

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