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D-Index & Metrics

Biology and Biochemistry

D-Index
130
Citations
76199
World Ranking
398
National Ranking
259

Garry P. Nolan 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 Garry P. Nolan 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: 563 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Garry P. Nolan 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 Garry P. Nolan 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: 130 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Overview

Garry P. Nolan is affiliated with Stanford University in the United States. Their research spans multiple areas within biochemistry, genetics, molecular biology, and medicine, with a substantial focus on molecular biology and immunology.

Their work often integrates advanced techniques in single-cell and spatial transcriptomics, reflecting an interest in cellular heterogeneity and tissue architecture. This is supported by their contributions in topics such as cell image analysis techniques, immune cells in cancer, CAR-T cell therapy research, cancer genomics and diagnostics, COVID-19 clinical research studies, and cancer immunotherapy and biomarkers.

Several key recent publications by Nolan illustrate the scope and intersection of their research domains:

  • Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma, 2020, Cell
  • Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front, 2020, Cell
  • CODEX multiplexed tissue imaging with DNA-conjugated antibodies, 2021, Nature Protocols
  • Enabling Technologies for Personalized and Precision Medicine, 2020, Trends in Biotechnology
  • SARS-CoV-2 infects human pancreatic β cells and elicits β cell impairment, 2021, Cell Metabolism

Frequent collaborators include Sizun Jiang, Christian M. Schürch, Bokai Zhu, Han Chen, and John W. Hickey, indicating active partnerships in diverse yet related research projects.

Their work has been published prominently in venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Frontiers in Immunology, Cell, and Zenodo (CERN European Organization for Nuclear Research). This distribution highlights a strong presence in both preprint repositories and leading peer-reviewed journals.

Garry P. Nolan's publication record encompasses over 213 works categorized under biochemistry, genetics, and molecular biology, alongside 174 works in medicine. Within these broader fields, their subfield emphases include molecular biology (134 works), immunology (62 works), oncology (47 works), biophysics (47 works), and infectious diseases (28 works).

Best Publications

  • Production of high titer helper-free retroviruses by transient transfection

    Warren S. Pear;Garry P. Nolan;Martin L. Scott;David Baltimore

  • 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

  • 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

  • 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

  • Three-dimensional intact-tissue sequencing of single-cell transcriptional states.

    Xiao Wang;William E. Allen;Matthew A. Wright;Emily L. Sylwestrak

  • 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

  • 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

  • A gut bacterial pathway metabolizes aromatic amino acids into nine circulating metabolites

    Dylan Dodd;Matthew H. Spitzer;Matthew H. Spitzer;William Van Treuren;Bryan D. Merrill

  • Multiplexed ion beam imaging of human breast tumors

    Michael Angelo;Sean C Bendall;Rachel Finck;Matthew B Hale

  • Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging.

    Yury Goltsev;Nikolay Samusik;Julia Kennedy-Darling;Salil Bhate

  • Mass Cytometry: Single Cells, Many Features.

    Matthew H. Spitzer;Garry P. Nolan

  • Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE

    Peng Qiu;Erin F Simonds;Sean C Bendall;Kenneth D Gibbs

  • Cloning of the p50 DNA binding subunit of NF-κB: Homology to rel and dorsal

    Sankar Ghosh;Ann M. Gifford;Lise R. Riviere;Paul Tempst

  • Systemic Immunity Is Required for Effective Cancer Immunotherapy

    Matthew H. Spitzer;Yaron Carmi;Yaron Carmi;Nathan E. Reticker-Flynn;Serena S. Kwek

  • Episomal vectors rapidly and stably produce high-titer recombinant retrovirus.

    Todd M. Kinsella;Garry P. Nolan

  • 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

  • Single Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells

    Jonathan M Irish;Randi Hovland;Peter O Krutzik;Omar D Perez

  • Computational solutions to large-scale data management and analysis

    Eric E. Schadt;Michael D. Linderman;Jon Sorenson;Lawrence Lee

  • Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma.

    Andrew L. Ji;Adam J. Rubin;Kim Thrane;Sizun Jiang

  • DNA binding and IκB inhibition of the cloned p65 subunit of NF-κB, a rel-related polypeptide

    Garry P. Nolan;Sankar Ghosh;Hsiou-Chi Liou;Paul Tempst

Frequent Co-Authors

Sean C. Bendall
Sean C. Bendall Stanford University
Dana Pe'er
Dana Pe'er Memorial Sloan Kettering Cancer Center
David Baltimore
David Baltimore California Institute of Technology
Bernd Bodenmiller
Bernd Bodenmiller University of Zurich
Mark M. Davis
Mark M. Davis Stanford University
Aviv Regev
Aviv Regev Genentech
Leonard A. Herzenberg
Leonard A. Herzenberg Stanford University
Robert Tibshirani
Robert Tibshirani Stanford University
Kevin Shannon
Kevin Shannon University of California, San Francisco

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