World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
109
Citations
66542
World Ranking
5664
National Ranking
224

Torsten O. Nielsen 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 Torsten O. Nielsen 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: 359 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Torsten O. Nielsen 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 Torsten O. Nielsen 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: 109 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Torsten O. Nielsen is affiliated with the University of British Columbia in Canada. Their research primarily spans the fields of Medicine and Biochemistry, Genetics, and Molecular Biology, with a strong focus on Oncology and Cancer Research.

The subfields of study where Nielsen has contributed include Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, and Radiology, Nuclear Medicine, and Imaging.

They have published extensively on topics related to:

  • Breast Cancer Treatment Studies
  • Cancer Immunotherapy and Biomarkers
  • Cancer Genomics and Diagnostics
  • Sarcoma Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • HER2/EGFR in Cancer Research
  • Cancer Cells and Metastasis

Their recent notable papers include:

  • Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group (2020), published in JNCI Journal of the National Cancer Institute
  • The path to a better biomarker: application of a risk management framework for the implementation of PD-L1 and TILs as immuno-oncology biomarkers in breast cancer clinical trials and daily practice (2020), published in The Journal of Pathology
  • The epigenomics of sarcoma (2020), published in Nature reviews. Cancer
  • Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer (2020), published in npj Breast Cancer
  • Tumor-associated macrophages and macrophage-related immune checkpoint expression in sarcomas (2020), published in OncoImmunology

Frequent collaborators in Nielsen's work include:

  • Samuel Leung
  • Dongxia Gao
  • Karama Asleh
  • Zuzana Kos
  • Anne-Vibeke Lænkholm

Their publications have appeared in various venues, with multiple contributions to:

  • UNC Libraries
  • npj Breast Cancer
  • Cancer Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Clinical Oncology

Best Publications

  • Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

    Joel S. Parker;Michael Mullins;Maggie C.U. Cheang;Samuel Leung

  • Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study.

    Lisa A. Carey;Charles M. Perou;Chad A. Livasy;Lynn G. Dressler

  • Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma

    Torsten O. Nielsen;Forrest D. Hsu;Kristin Jensen;Maggie Cheang

  • The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014

    R. Salgado;C. Denkert;S. Demaria;N. Sirtaine

  • Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer

    Maggie C. U. Cheang;Stephen K Chia;David Voduc;Dongxia Gao

  • Metastatic Behavior of Breast Cancer Subtypes

    Hagen Kennecke;Rinat Yerushalmi;Ryan Woods;Maggie Chon U. Cheang

  • Assessment of Ki67 in Breast Cancer: Recommendations from the International Ki67 in Breast Cancer Working Group

    Mitch Dowsett;Torsten O. Nielsen;Roger A’Hern;John Bartlett

  • Breast Cancer Subtypes and the Risk of Local and Regional Relapse

    K. David Voduc;Maggie C.U. Cheang;Scott Tyldesley;Karen Gelmon

  • Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype.

    Maggie C.U. Cheang;David Voduc;Chris Bajdik;Samuel Leung

  • Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies

    Fiona M. Blows;Kristy E. Driver;Marjanka K. Schmidt;Annegien Broeks

  • Assessing Tumor-Infiltrating Lymphocytes in Solid Tumors: A Practical Review for Pathologists and Proposal for a Standardized Method from the International Immuno-Oncology Biomarkers Working Group Part 2 TILs in Melanoma, Gastrointestinal Tract Carcinomas, Non–Small Cell Lung Carcinoma and Mesothelioma, Endometrial and Ovarian Carcinomas, Squamous Cell Carcinoma of the Head and Neck, Genitourinary Carcinomas, and Primary Brain Tumors

    Shona Hendry;Roberto Salgado;Thomas Gevaert;Prudence A. Russell;Prudence A. Russell

  • A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer

    Torsten O Nielsen;Joel S Parker;Samuel Leung;K David Voduc

  • The Novel Marker, DOG1, Is Expressed Ubiquitously in Gastrointestinal Stromal Tumors Irrespective of KIT or PDGFRA Mutation Status

    Robert B. West;Christopher L Corless;Xin Chen;Brian P. Rubin

  • Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.

    Andrew H. Beck;Ankur R. Sangoi;Ankur R. Sangoi;Samuel Leung;Robert J. Marinelli

  • Assessing Tumor-infiltrating Lymphocytes in Solid Tumors: A Practical Review for Pathologists and Proposal for a Standardized Method from the International Immunooncology Biomarkers Working Group: Part 1: Assessing the Host Immune Response, TILs in Invasive Breast Carcinoma and Ductal Carcinoma in Situ, Metastatic Tumor Deposits and Areas for Further Research

    Shona Hendry;Roberto Salgado;Thomas Gevaert;Prudence A. Russell;Prudence A. Russell

  • Association between CD8+ T-cell infiltration and breast cancer survival in 12 439 patients

    Hamid Ali;E Provenzano;S-J Dawson;FM Blows

  • Molecular characterisation of soft tissue tumours: a gene expression study

    Torsten O Nielsen;Rob B West;Sabine C Linn;Orly Alter

  • Prognostic Significance of Progesterone Receptor–Positive Tumor Cells Within Immunohistochemically Defined Luminal A Breast Cancer

    Aleix Prat;Maggie Chon U. Cheang;Miguel Martín;Joel S. Parker

  • Breast Cancer Subtypes and Response to Docetaxel in Node-Positive Breast Cancer: Use of an Immunohistochemical Definition in the BCIRG 001 Trial

    Judith Hugh;John Hanson;Maggie Chon U. Cheang;Torsten O. Nielsen

  • An International Ki67 Reproducibility Study

    Mei Yin C Polley;Samuel C Y Leung;Lisa M. McShane;Dongxia Gao

Frequent Co-Authors

Maggie C.U. Cheang
Maggie C.U. Cheang Institute of Cancer Research
Charles M. Perou
Charles M. Perou University of North Carolina at Chapel Hill
David G. Huntsman
David G. Huntsman University of British Columbia
Karen A. Gelmon
Karen A. Gelmon University of British Columbia
Matthew J. Ellis
Matthew J. Ellis Baylor College of Medicine
Matt van de Rijn
Matt van de Rijn Stanford University
C. Blake Gilks
C. Blake Gilks University of British Columbia
Roberto Salgado
Roberto Salgado Peter MacCallum Cancer Centre
Giuseppe Viale
Giuseppe Viale University of Milan
Elaine R. Mardis
Elaine R. Mardis The Ohio State University

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