World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
48
Citations
8085
World Ranking
1215
National Ranking
540

Ying Yuan 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 Ying Yuan 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: 170 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Ying Yuan 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 Ying Yuan 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: 48 D-Index — 67th percentile

67% 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

  • 2017 - Fellow of the American Statistical Association (ASA)

Overview

Ying Yuan is affiliated with The University of Texas MD Anderson Cancer Center in the United States. Their research spans the field of Medicine with a significant focus on Oncology and Statistics. Yuan's work integrates clinical and statistical methodologies, particularly in the design and analysis of clinical trials and cancer treatment.

The main fields of study include:

  • Medicine

Subfields prominently covered in Yuan's research are:

  • Statistics and Probability
  • Oncology
  • Pulmonary and Respiratory Medicine
  • Molecular Biology
  • Management Science and Operations Research

The key research topics for Yuan are:

  • Statistical Methods in Clinical Trials
  • Optimal Experimental Design Methods
  • Health Systems, Economic Evaluations, Quality of Life
  • Cancer Immunotherapy and Biomarkers
  • Glioma Diagnosis and Treatment
  • Cancer Genomics and Diagnostics
  • Ovarian cancer diagnosis and treatment

Yuan's recent notable publications include:

  • "Camrelizumab versus investigator's choice of chemotherapy as second-line therapy for advanced or metastatic oesophageal squamous cell carcinoma (ESCORT): a multicentre, randomised, open-label, phase 3 study" (2020) published in The Lancet Oncology
  • "Donor-Derived CD7 Chimeric Antigen Receptor T Cells for T-Cell Acute Lymphoblastic Leukemia: First-in-Human, Phase I Trial" (2021) published in Journal of Clinical Oncology
  • "BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies" (2020) published in JCO Precision Oncology
  • "Pilot Phase II Trial of Neoadjuvant Immunotherapy in Locoregionally Advanced, Resectable Cutaneous Squamous Cell Carcinoma of the Head and Neck" (2021) published in Clinical Cancer Research
  • "Prospective phase II trial of levonorgestrel intrauterine device: nonsurgical approach for complex atypical hyperplasia and early-stage endometrial cancer" (2020) published in American Journal of Obstetrics and Gynecology

Common co-authors working frequently with Yuan include:

  • Shannon N. Westin
  • Bryan Fellman
  • Karen H. Lu
  • Amir A. Jazaeri
  • Ruitao Lin

Typical publication venues for Yuan's work are:

  • Journal of Clinical Oncology
  • Neuro-Oncology
  • Clinical Cancer Research
  • Biometrics
  • Statistics in Biopharmaceutical Research

Yuan's contributions to statistical science were recognized in 2017 with election as a Fellow of the American Statistical Association.

Best Publications

  • Bayesian Mediation Analysis

    Ying Yuan;David P. MacKinnon

  • IDH mutation status and role of WHO grade and mitotic index in overall survival in grade II-III diffuse gliomas

    Adriana Olar;Khalida M. Wani;Kristin D. Alfaro-Munoz;Lindsey E. Heathcock

  • Bayesian optimal interval designs for phase I clinical trials

    Suyu Liu;Ying Yuan

  • Joint regression analysis of correlated data using Gaussian copulas.

    Peter X.K. Song;Mingyao Li;Ying Yuan

  • A randomized trial of internet-based versus traditional sexual counseling for couples after localized prostate cancer treatment

    Leslie R. Schover;Andrea L. Canada;Ying Yuan;Dawen Sui

  • Antitumor Activity of NVP-BKM120—A Selective Pan Class I PI3 Kinase Inhibitor Showed Differential Forms of Cell Death Based on p53 Status of Glioma Cells

    Dimpy Koul;Jun Fu;Ruijun Shen;Tiffany A. LaFortune

  • Bayesian Optimal Interval Design: A Simple and Well-Performing Design for Phase I Oncology Trials

    Ying Yuan;Kenneth R. Hess;Susan G. Hilsenbeck;Mark R. Gilbert

  • Bayesian dose finding in oncology for drug combinations by copula regression

    Guosheng Yin;Ying Yuan

  • Bayesian Model Averaging Continual Reassessment Method in Phase I Clinical Trials

    Guosheng Yin;Ying Yuan

  • Keyboard: A Novel Bayesian Toxicity Probability Interval Design for Phase I Clinical Trials

    Fangrong Yan;Sumithra J. Mandrekar;Ying Yuan

  • Sample size determination for mediation analysis of longitudinal data

    Haitao Pan;Suyu Liu;Danmin Miao;Ying Yuan

  • Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data

    Ying Yuan;Guosheng Yin

  • A Bayesian basket trial design using a calibrated Bayesian hierarchical model.

    Yiyi Chu;Ying Yuan

  • A Latent Contingency Table Approach to Dose Finding for Combinations of Two Agents

    Guosheng Yin;Ying Yuan

  • Bayesian dose finding by jointly modelling toxicity and efficacy as time-to-event outcomes

    Ying Yuan;Guosheng Yin

  • Pilot Phase II Trial of Neoadjuvant Immunotherapy in Locoregionally Advanced, Resectable Cutaneous Squamous Cell Carcinoma of the Head and Neck.

    Renata Ferrarotto;Moran Amit;Priyadharsini Nagarajan;M. Laura Rubin

  • BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies

    Ruitao Lin;Yanhong Zhou;Fangrong Yan;Daniel Li

  • Accuracy, Safety, and Reliability of Novel Phase I Trial Designs

    Heng Zhou;Ying Yuan;Lei Nie

  • BOP2: Bayesian optimal design for phase II clinical trials with simple and complex endpoints

    Heng Zhou;J. Jack Lee;Ying Yuan

  • Time-to-Event Bayesian Optimal Interval Design to Accelerate Phase I Trials.

    Ying Yuan;Ruitao Lin;Ruitao Lin;Daniel Li;Lei Nie

  • Using Data Augmentation to Facilitate Conduct of Phase I–II Clinical Trials with Delayed Outcomes

    Ick Hoon Jin;Suyu Liu;Peter F. Thall;Ying Yuan

  • Sequential continual reassessment method for two‐dimensional dose finding

    Ying Yuan;Guosheng Yin

Frequent Co-Authors

Guosheng Yin
Guosheng Yin University of Hong Kong
Mark R. Gilbert
Mark R. Gilbert National Institutes of Health
Karen H. Lu
Karen H. Lu The University of Texas MD Anderson Cancer Center
Peter F. Thall
Peter F. Thall The University of Texas MD Anderson Cancer Center
W. K. Alfred Yung
W. K. Alfred Yung The University of Texas MD Anderson Cancer Center
J. Jack Lee
J. Jack Lee The University of Texas MD Anderson Cancer Center
David I. Rosenthal
David I. Rosenthal The University of Texas MD Anderson Cancer Center
Kenneth Aldape
Kenneth Aldape National Institutes of Health
Roderick J. A. Little
Roderick J. A. Little University of Michigan–Ann Arbor
Russell Broaddus
Russell Broaddus University of North Carolina at Chapel Hill

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