World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
54
Citations
17482
World Ranking
818
National Ranking
397

Lee-Jen Wei 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 Lee-Jen Wei 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: 133 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Lee-Jen Wei 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 Lee-Jen Wei 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: 54 D-Index — 78th percentile

78% 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

  • 2009 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 1986 - Fellow of the American Statistical Association (ASA)

Overview

Lee-Jen Wei is affiliated with Harvard University in the United States. Their research spans various aspects of medicine with a focus on pulmonary and respiratory medicine, rheumatology, and pathology and forensic medicine.

The scientist's recent publications include a meta-analysis titled Risk factors of pulmonary arterial hypertension in patients with systemic lupus erythematosus, published in 2023 in the journal Lupus. This publication has attracted citations and contributes to the broader investigation of pulmonary hypertension within autoimmune conditions.

Their frequent publication venue is:

  • Lupus

Lee-Jen Wei collaborates with several researchers including:

  • Yuqi Liu
  • Cheng Zhen
  • Bowen Zha
  • Xiaohong Chen
  • Zhiyu Gong

Their main fields of study involve Medicine, supported by a trio of publications. Specifically, their work delves into:

  • Pulmonary and Respiratory Medicine
  • Rheumatology
  • Pathology and Forensic Medicine

The central research topics they explore include:

  • Pulmonary Hypertension Research and Treatments
  • Systemic Lupus Erythematosus Research
  • Systemic Sclerosis and Related Diseases

Among the recognitions received, Lee-Jen Wei was awarded the Samuel S. Wilks Memorial Award by the American Statistical Association in 2009. Earlier, in 1986, they were named a Fellow of the American Statistical Association.

Best Publications

  • Checking the Cox model with cumulative sums of martingale-based residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.

    Hajime Uno;Tianxi Cai;Michael J. Pencina;Ralph B. D'Agostino

  • Semiparametric regression for the mean and rate functions of recurrent events

    D. Y. Lin;L. J. Wei;I. Yang;Z. Ying

  • The accelerated failure time model: A useful alternative to the cox regression model in survival analysis

    L. J. Wei

  • Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations

    Eric W. Lee;L. J. Wei;David A. Amato;Sue Leurgans

  • Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysis

    Hajime Uno;Brian Claggett;Lu Tian;Eisuke Inoue

  • Analysis of transformation models with censored data

    S. C. Cheng;L. J. Wei;Z. Ying

  • Rank-based inference for the accelerated failure time model

    Zhezhen Jin;D. Y. Lin;L. J. Wei;Zhiliang Ying

  • dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data

    Ming Lin;Lee-Jen Wei;William R. Sellers;Marshall Lieberfarb

  • Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models

    Hajime Uno;Tianxi Cai;Lu Tian;L. J Wei

  • A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data

    Hajime Uno;Lu Tian;Tianxi Cai;Isaac S. Kohane

  • A resampling method based on pivotal estimating functions

    M. I. Parzen;L. J. Wei;Z. Ying

  • Model‐Checking Techniques Based on Cumulative Residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • A simple resampling method by perturbing the minimand

    Zhezhen Jin;Zhiliang Ying;L. J. Wei

  • Combining dependent tests with incomplete repeated measurements

    L. J. Wei;Wayne E. Johnson

  • Analysis of randomized comparative clinical trial data for personalized treatment selections

    Tianxi Cai;Lu Tian;Peggy H. Wong;L. J. Wei

  • Defibrotide for the Treatment of Severe Hepatic Veno-Occlusive Disease and Multiorgan Failure after Stem Cell Transplantation: A Multicenter, Randomized, Dose-Finding Trial

    Paul G. Richardson;Robert J. Soiffer;Joseph H. Antin;Hajime Uno

  • Interpretability of Cancer Clinical Trial Results Using Restricted Mean Survival Time as an Alternative to the Hazard Ratio

    Kyongsun Pak;Hajime Uno;Dae Hyun Kim;Dae Hyun Kim;Lu Tian

  • On the restricted mean survival time curve in survival analysis.

    Lihui Zhao;Brian Claggett;Lu Tian;Hajime Uno

  • Predicting the restricted mean event time with the subject's baseline covariates in survival analysis

    Lu Tian;Lihui Zhao;L. J. Wei

  • Accuracy of Fibroscan, Compared With Histology, in Analysis of Liver Fibrosis in Patients With Hepatitis B or C: A United States Multicenter Study

    Nezam H. Afdhal;Bruce R. Bacon;Keyur Patel;Eric J. Lawitz

  • Accelerated failure time models for counting processes

    D. Y. Lin;L. J. Wei;Zhiliang Ying

  • Regression analysis of panel count data with covariate-dependent observation and censoring times

    Jianguao Sun;L. J. Wei

Frequent Co-Authors

Brian Claggett
Brian Claggett Brigham and Women's Hospital
Zhiliang Ying
Zhiliang Ying Columbia University
Scott D. Solomon
Scott D. Solomon Brigham and Women's Hospital
Marc A. Pfeffer
Marc A. Pfeffer Harvard Medical School
Danyu Lin
Danyu Lin University of North Carolina at Chapel Hill
Xiping Xu
Xiping Xu Southern Medical University
Daniel L. Alkon
Daniel L. Alkon West Virginia University
Paul G. Richardson
Paul G. Richardson Harvard University
Deborah Schrag
Deborah Schrag Harvard University
Shaun Purcell
Shaun Purcell Harvard Medical School

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