World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
103
Citations
43770
World Ranking
7298
National Ranking
3822

Michael Feldman 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 Michael Feldman 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: 610 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: 529 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Michael Feldman 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 Michael Feldman 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: 399 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: 103 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Michael Feldman is affiliated with the University of Pennsylvania in the United States. Their research spans multiple areas within medicine and biochemistry, genetics, and molecular biology, with a strong emphasis on oncology and medical imaging.

Their work primarily focuses on topics such as radiomics and machine learning applied to medical imaging, cancer genomics and diagnostics, infectious diseases, and clinical research related to COVID-19. Specific research themes include:

  • Radiomics and Machine Learning in Medical Imaging
  • Cancer Genomics and Diagnostics
  • COVID-19 Clinical Research Studies
  • AI in cancer detection
  • Long-Term Effects of COVID-19
  • Breast Cancer Treatment Studies
  • Prostate Cancer Diagnosis and Treatment

The scientist has published extensively in leading venues, with frequent contributions in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • npj Breast Cancer
  • Journal of Clinical Oncology
  • The Lancet Digital Health

Selected recent papers include:

  • Randomized Phase II Trial of Nivolumab Versus Nivolumab and Ipilimumab for Recurrent or Persistent Ovarian Cancer: An NRG Oncology Study (2020, Journal of Clinical Oncology)
  • Serotonin reduction in post-acute sequelae of viral infection (2023, Cell)
  • Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes (2022, Nature Metabolism)
  • Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology (2024, Nature Biotechnology)
  • CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction (2020, The Lancet Digital Health)

Frequent co-authors in their research include:

  • Anant Madabhushi
  • Pingfu Fu
  • Natalie Shih
  • Leslie A. Litzky
  • Angela DeMichele

The scientist's main fields of study cover medicine with a significant portion devoted to biochemistry, genetics, and molecular biology. Within subfields, their publications are concentrated in molecular biology, oncology, cancer research, infectious diseases, and radiology, nuclear medicine, and imaging.

Best Publications

  • Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

    Katherine A. Hoadley;Christina Yau;Christina Yau;Toshinori Hinoue;Denise M. Wolf

  • Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer

    Christina Twyman-Saint Victor;Andrew J. Rech;Amit Maity;Ramesh Rengan;Ramesh Rengan

  • BRAF and RAS mutations in human lung cancer and melanoma

    Marcia S. Brose;Patricia Volpe;Michael Feldman;Madhu Kumar

  • Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade.

    Joseph L. Benci;Bihui Xu;Yu Qiu;Tony J. Wu

  • Genomic and Functional Approaches to Understanding Cancer Aneuploidy

    Alison M. Taylor;Alison M. Taylor;Juliann Shih;Gavin Ha;Gavin Ha;Galen F. Gao

  • Tumor endothelium FasL establishes a selective immune barrier promoting tolerance in tumors.

    Gregory T. Motz;Stephen P. Santoro;Li Ping Wang;Tom Garrabrant

  • A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease

    Noura S. Abul-Husn;Xiping Cheng;Alexander H. Li;Yurong Xin

  • Tumor-associated neutrophils stimulate T cell responses in early-stage human lung cancer.

    Evgeniy B. Eruslanov;Pratik S. Bhojnagarwala;Jon G. Quatromoni;Tom Li Stephen

  • Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma

    Lauren Fishbein;Lauren Fishbein;Ignaty Leshchiner;Ignaty Leshchiner;Vonn Walter;Vonn Walter;Ludmila Danilova;Ludmila Danilova

  • Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

    Angel Cruz-Roa;Ajay Basavanhally;Fabio González;Hannah Leah Gilmore

  • Akt-Dependent Metabolic Reprogramming Regulates Tumor Cell Histone Acetylation

    Joyce V. Lee;Alessandro Carrer;Supriya Shah;Nathaniel W. Snyder

  • Engineered CAR T Cells Targeting the Cancer-Associated Tn-Glycoform of the Membrane Mucin MUC1 Control Adenocarcinoma.

    Avery D. Posey;Robert D. Schwab;Alina C. Boesteanu;Catharina Steentoft

  • Deficient production of cyclic AMP: Pharmacologic evidence of an important cause of contractile dysfunction in patients with end-stage heart failure

    M D Feldman;L Copelas;J K Gwathmey;P Phillips

  • Erratum: Comprehensive Characterization of Cancer Driver Genes and Mutations (ARTICLE (2018) 173(2) (371–385), (S009286741830237X), (10.1016/j.cell.2018.02.060))

    Matthew H. Bailey;Collin Tokheim;Eduard Porta-Pardo;Sohini Sengupta

  • Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

    Angel Cruz-Roa;Angel Cruz-Roa;Hannah Leah Gilmore;Ajay Basavanhally;Michael Feldman

  • Digital imaging in pathology: whole-slide imaging and beyond.

    Farzad Ghaznavi;Andrew Evans;Anant Madabhushi;Michael Feldman

  • Local recurrence in head and neck cancer: relationship to radiation resistance and signal transduction.

    Anjali K Gupta;W Gillies McKenna;Charles N Weber;Michael D Feldman

  • Non-linear system vibration analysis using Hilbert transform--I. Free vibration analysis method 'Freevib'

    Michael Feldman

  • HTLV-III in cells cultured from semen of two patients with AIDS

    D Zagury;J Bernard;J Leibowitch;B Safai

  • Structures of the Bacterial Ribosome in Classical and Hybrid States of tRNA Binding

    Jack A. Dunkle;Leyi Wang;Michael B. Feldman;Michael B. Feldman;Arto Pulk

Frequent Co-Authors

Anant Madabhushi
Anant Madabhushi Emory University
John E. Tomaszewski
John E. Tomaszewski University at Buffalo, State University of New York
Angela DeMichele
Angela DeMichele University of Pennsylvania
Mark A. Rosen
Mark A. Rosen University of Pennsylvania
Susan M. Domchek
Susan M. Domchek University of Pennsylvania
Shraga Segal
Shraga Segal Ben-Gurion University of the Negev
Shridar Ganesan
Shridar Ganesan Rutgers, The State University of New Jersey
Andrea B. Troxel
Andrea B. Troxel New York University
Robert H. Vonderheide
Robert H. Vonderheide University of Pennsylvania
Rosemarie Mick
Rosemarie Mick University of Pennsylvania

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