World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
122
Citations
58153
World Ranking
3458
National Ranking
1902

Daniel W. Chan publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Daniel W. Chan sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 843 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Daniel W. Chan D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 122 D-Index — 83rd percentile

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

The last bar groups every scientist with 217 D-Index or more.

Overview

Daniel W. Chan is affiliated with Johns Hopkins University School of Medicine in the United States. Their research primarily spans the field of Medicine, with a particular focus on Cardiology and Cardiovascular Medicine. The subfields of their research also include Molecular Biology, Economics and Econometrics, Radiology, Nuclear Medicine and Imaging, and Algebra and Number Theory.

Their work covers a range of topics within medicine. Key research areas addressed by Daniel W. Chan include Heart Failure Treatment and Management, Acute Myocardial Infarction Research, Cardiac Imaging and Diagnostics, Cardiovascular Function and Risk Factors, Cancer Genomics and Diagnostics, Medication Adherence and Compliance, and Blood Pressure and Hypertension Studies.

Daniel W. Chan has contributed to numerous publications with frequent appearances in the following venues:

  • Heart Lung and Circulation
  • New Zealand Medical Journal
  • Heart
  • arXiv (Cornell University)
  • Cell

They have collaborated frequently with a cohort of researchers including Andrew Kerr, Robert N. Doughty, Mayanna Lund, Katrina Poppe, and J. Somaratne.

Their recent papers highlight contributions in both cardiovascular medicine and cancer genomics. Notable recent publications include:

  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy (2020, Cell)
  • Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer (2020, Nature Communications)
  • Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin (2023, Cancer Cell)
  • The impact of a national COVID-19 lockdown on acute coronary syndrome hospitalisations in New Zealand (ANZACS-QI 55) (2020, The Lancet Regional Health - Western Pacific)
  • Temporal trends in the burden of heart failure (2021, Internal Medicine Journal)

Best Publications

  • Natural history of progression after PSA elevation following radical prostatectomy.

    Charles R. Pound;Alan W. Partin;Mario A. Eisenberger;Daniel W. Chan

  • The Use of Prostate Specific Antigen, Clinical Stage and Gleason Score to Predict Pathological Stage in Men with Localized Prostate Cancer

    Alan W. Partin;John Yoo;H. Ballentine Carter;Jay D. Pearson

  • Longitudinal evaluation of prostate-specific antigen levels in men with and without prostate disease.

    H. Ballentine Carter;Jay D. Pearson;E. Jeffrey Metter;Larry J. Brant;Larry J. Brant

  • Proteomics and Bioinformatics Approaches for Identification of Serum Biomarkers to Detect Breast Cancer

    Jinong Li;Zhen Zhang;Jason Rosenzweig;Young Y. Wang

  • Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer

    Zhen Zhang;Robert C. Bast;Yinhua Yu;Jinong Li

  • Immunosensors--principles and applications to clinical chemistry.

    Peter B. Luppa;Lori J. Sokoll;Daniel W. Chan

  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

    Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne

  • Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.

    Gilbert S. Omenn;David J. States;Marcin Adamski;Thomas W. Blackwell

  • Prostate Specific Antigen in the Staging of Localized Prostate Cancer: Influence of Tumor Differentiation, Tumor Volume and Benign Hyperplasia

    Alan W. Partin;H. Ballentine Carter;Daniel W. Chan;Jonathan I. Epstein

  • Standard operating procedures for serum and plasma collection: early detection research network consensus statement standard operating procedure integration working group.

    Melissa K. Tuck;Daniel W. Chan;David Chia;Andrew K. Godwin

  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

    Michael A. Gillette;Michael A. Gillette;Shankha Satpathy;Song Cao;Saravana M. Dhanasekaran

  • Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

    David J. Clark;Saravana M. Dhanasekaran;Francesca Petralia;Jianbo Pan

  • Prostate Specific Antigen in the Preoperative and Postoperative Evaluation of Localized Prostatic Cancer Treated with Radical Prostatectomy

    Joseph E. Oesterling;Daniel W. Chan;Jonathan I. Epstein;Allyn W. Kimball

  • Proteogenomic and metabolomic characterization of human glioblastoma

    Liang-Bo Wang;Alla Karpova;Marina A. Gritsenko;Jennifer E. Kyle

  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

    Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk

  • Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach

    Steven A. Carr;Susan E. Abbatiello;Bradley L. Ackermann;Christoph Borchers

  • A Multicenter Study of [-2]Pro-Prostate Specific Antigen Combined With Prostate Specific Antigen and Free Prostate Specific Antigen for Prostate Cancer Detection in the 2.0 to 10.0 ng/ml Prostate Specific Antigen Range

    William J. Catalona;Alan W. Partin;Martin G. Sanda;John T. Wei

  • National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines for Use of Tumor Markers in Testicular, Prostate, Colorectal, Breast, and Ovarian Cancers

    Catharine M. Sturgeon;Michael J. Duffy;Ulf Håkan Stenman;Hans Lilja

  • Identification of Hepatocarcinoma-Intestine-Pancreas/Pancreatitis-associated Protein I as a Biomarker for Pancreatic Ductal Adenocarcinoma by Protein Biochip Technology

    Christophe Rosty;Laurence Christa;Scott Kuzdzal;William M. Baldwin

  • Translation of proteomic biomarkers into FDA approved cancer diagnostics: issues and challenges

    Anna K Füzéry;Anna K Füzéry;Joshua Levin;Maria M Chan;Daniel W Chan;Daniel W Chan

Frequent Co-Authors

Lori J. Sokoll
Lori J. Sokoll Johns Hopkins University School of Medicine
Alan W. Partin
Alan W. Partin Johns Hopkins University School of Medicine
Hui Zhang
Hui Zhang Johns Hopkins University
Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Tao Liu
Tao Liu Pacific Northwest National Laboratory
Steven A. Carr
Steven A. Carr Broad Institute
Patrick C. Walsh
Patrick C. Walsh Johns Hopkins University
Matthew J. Ellis
Matthew J. Ellis Baylor College of Medicine
H. Ballentine Carter
H. Ballentine Carter Johns Hopkins University School of Medicine
Amanda G. Paulovich
Amanda G. Paulovich Fred Hutchinson Cancer Research Center

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