World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
74
Citations
52939
World Ranking
5452
National Ranking
2585

Dana Pe'er publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Dana Pe'er sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 168 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Dana Pe'er D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Dana Pe'er sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 74 D-Index — 72nd percentile

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

The last bar groups every scientist with 167 D-Index or more.

Research.com Recognitions

  • 2014 - National Institutes of Health Director's Pioneer Award

Overview

Dana Pe'er is affiliated with the Memorial Sloan Kettering Cancer Center in the United States. Their research focuses on biochemistry, genetics, and molecular biology, with significant work in medicine. Their specialized subfields include molecular biology, oncology, cancer research, pulmonary and respiratory medicine, and immunology.

The scientist's main research topics cover single-cell and spatial transcriptomics, cancer genomics and diagnostics, cancer cells and metastasis, pancreatic and hepatic oncology research, cell image analysis techniques, prostate cancer treatment and research, and cancer immunotherapy and biomarkers.

Recent publications include the following notable papers:

  • "SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues," 2020, Cell
  • "CellRank for directed single-cell fate mapping," 2022, Nature Methods
  • "An integrated cell atlas of the lung in health and disease," 2023, Nature Medicine
  • "The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution," 2020, Cell
  • "Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology," 2022, Nature Cancer

The scientist has collaborated frequently with a group of coauthors, including Ignas Masilionis, Linas Mažutis, Ronan Chaligné, Tal Nawy, and Roshan Sharma.

Their work is frequently published in several venues, reflecting a diverse academic output. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Nature
  • Nature Cancer
  • Cell

Dana Pe'er has received the National Institutes of Health Director's Pioneer Award in 2014.

Best Publications

  • Using Bayesian networks to analyze expression data

    Nir Friedman;Michal Linial;Iftach Nachman;Dana Pe'er

  • Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

    Sean C. Bendall;Erin F. Simonds;Peng Qiu;El Ad D. Amir

  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.

    Carly G.K. Ziegler;Samuel J. Allon;Sarah K. Nyquist;Ian M. Mbano

  • Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data

    Eran Segal;Michael Shapira;Aviv Regev;Aviv Regev;Dana Pe'er

  • Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

    Jacob H. Levine;Erin F. Simonds;Sean C. Bendall;Kara L. Davis

  • Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment.

    Elham Azizi;Ambrose J. Carr;Ambrose J. Carr;George Plitas;Andrew E. Cornish

  • Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data

    Karen Sachs;Karen Sachs;Karen Sachs;Omar Perez;Omar Perez;Omar Perez;Dana Pe'er;Dana Pe'er;Dana Pe'er;Douglas A. Lauffenburger;Douglas A. Lauffenburger;Douglas A. Lauffenburger

  • The Human Cell Atlas

    Aviv Regev;Aviv Regev;Aviv Regev;Sarah A Teichmann;Sarah A Teichmann;Sarah A Teichmann;Eric S Lander;Eric S Lander;Eric S Lander;Ido Amit

  • Recovering Gene Interactions from Single-Cell Data Using Data Diffusion.

    David van Dijk;Roshan Sharma;Roshan Sharma;Juozas Nainys;Juozas Nainys;Kristina Yim

  • viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

    El-ad David Amir;Kara L Davis;Michelle D Tadmor;Erin F Simonds

  • Chromosomal instability drives metastasis through a cytosolic DNA response.

    Samuel F. Bakhoum;Samuel F. Bakhoum;Bryan Ngo;Ashley M. Laughney;Julie Ann Cavallo;Julie Ann Cavallo

  • Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses.

    Yonit Lavin;Soma Kobayashi;Andrew Leader;El-ad David Amir

  • Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade

    Spencer C. Wei;Jacob H. Levine;Alexandria P. Cogdill;Yang Zhao

  • Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development

    Sean C. Bendall;Kara L. Davis;El-ad David Amir;Michelle D. Tadmor

  • An Immune Atlas of Clear Cell Renal Cell Carcinoma

    Stéphane Chevrier;Jacob Harrison Levine;Vito Riccardo Tomaso Zanotelli;Karina Silina

  • Learning bayesian network structure from massive datasets: the «sparse candidate« algorithm

    Nir Friedman;Iftach Nachman;Dana Peér

  • Toward understanding and exploiting tumor heterogeneity

    Ash A Alizadeh;Victoria Aranda;Alberto Bardelli;Cedric Blanpain

  • Inferring subnetworks from perturbed expression profiles.

    Dana Pe’er;Aviv Regev;Gal Elidan;Nir Friedman

  • Normalization of mass cytometry data with bead standards

    Rachel Finck;Erin F. Simonds;Astraea Jager;Smita Krishnaswamy

  • Wishbone identifies bifurcating developmental trajectories from single-cell data.

    Manu Setty;Michelle D Tadmor;Shlomit Reich-Zeliger;Omer Angel

Frequent Co-Authors

Garry P. Nolan
Garry P. Nolan Stanford University
Aviv Regev
Aviv Regev Genentech
Sean C. Bendall
Sean C. Bendall Stanford University
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge
Bernd Bodenmiller
Bernd Bodenmiller University of Zurich
Catherine J. Wu
Catherine J. Wu Harvard University
Nir Hacohen
Nir Hacohen Harvard University
Nir Friedman
Nir Friedman Weizmann Institute of Science
John C. Marioni
John C. Marioni European Bioinformatics Institute

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