World's Best Scientists 2026 revealed!
William J. Greenleaf

William J. Greenleaf

D-Index & Metrics

Genetics

D-Index
82
Citations
46982
World Ranking
1445
National Ranking
679

William J. Greenleaf publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where William J. Greenleaf sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 239 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

William J. Greenleaf D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where William J. Greenleaf sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 82 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 1964 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

William J. Greenleaf is affiliated with Stanford University in the United States. Their research focuses primarily on biochemistry, genetics, and molecular biology, with significant contributions to the fields of molecular biology, immunology, cancer research, genetics, and oncology.

The scientist's work centers around key topics such as genomics and chromatin dynamics, single-cell and spatial transcriptomics, RNA research and splicing, RNA and protein synthesis mechanisms, epigenetics and DNA methylation, cancer genomics and diagnostics, and RNA modifications related to cancer.

Among recent papers authored or co-authored by William J. Greenleaf are the following:

  • ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis, 2021, Nature Genetics
  • Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution, 2021, Cell
  • Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases, 2020, Nature Genetics
  • Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer, 2022, Nature Genetics
  • PD-1 combination therapy with IL-2 modifies CD8+ T cell exhaustion program, 2022, Nature

Frequent co-authors of William J. Greenleaf include:

  • Anshul Kundaje
  • Georgi K. Marinov
  • Howard Y. Chang
  • M Snyder
  • Christina Curtis

Publications by this researcher are often found in the following venues:

  • ENCODE Datasets
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Genetics
  • Cell
  • Nature

William J. Greenleaf's career includes recognition such as being named a Fellow of the John Simon Guggenheim Memorial Foundation in 1964.

Best Publications

  • Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position

    Jason D Buenrostro;Paul G Giresi;Lisa C Zaba;Howard Y Chang

  • ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide

    Jason D. Buenrostro;Beijing Wu;Howard Y. Chang;William J. Greenleaf

  • Single-cell chromatin accessibility reveals principles of regulatory variation

    Jason D. Buenrostro;Beijing Wu;Ulrike M. Litzenburger;Dave Ruff

  • An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues

    M Ryan Corces;Alexandro E Trevino;Emily G Hamilton;Peyton G Greenside

  • Chromatin accessibility and the regulatory epigenome.

    Sandy L Klemm;Zohar Shipony;William J Greenleaf

  • chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

    Alicia N Schep;Beijing Wu;Jason D Buenrostro;William J Greenleaf

  • Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution

    M Ryan Corces;Jason D Buenrostro;Jason D Buenrostro;Beijing Wu;Peyton G Greenside

  • Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion.

    Ansuman T. Satpathy;Jeffrey M. Granja;Kathryn E. Yost;Yanyan Qi

  • Direct observation of base-pair stepping by RNA polymerase

    Elio A. Abbondanzieri;William J. Greenleaf;Joshua W. Shaevitz;Robert Landick

  • HiChIP: efficient and sensitive analysis of protein-directed genome architecture.

    Maxwell R Mumbach;Adam J Rubin;Ryan A Flynn;Chao Dai

  • The chromatin accessibility landscape of primary human cancers

    M. Ryan Corces;Jeffrey M. Granja;Shadi Shams;Bryan H. Louie

  • ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis.

    Jeffrey M. Granja;M. Ryan Corces;Sarah E. Pierce;S. Tansu Bagdatli

  • Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation

    Jason D. Buenrostro;Jason D. Buenrostro;M. Ryan Corces;Caleb A. Lareau;Caleb A. Lareau;Beijing Wu

  • High-resolution, single-molecule measurements of biomolecular motion.

    William J. Greenleaf;Michael T. Woodside;Steven M. Block

  • The Human Tumor Atlas Network: Charting Tumor Transitions Across Space and Time at Single-Cell Resolution

    Orit Rozenblatt-Rosen;Aviv Regev;Aviv Regev;Aviv Regev;Philipp Oberdoerffer;Tal Nawy

  • Origin and differentiation of human memory CD8 T cells after vaccination

    Rama Akondy;Mark Fitch;Srilatha Edupuganti;Shu Yang

  • Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements

    Maxwell R Mumbach;Ansuman T Satpathy;Evan A Boyle;Chao Dai

  • ARTIFICIAL CAVITATION NUCLEI SIGNIFICANTLY ENHANCE ACOUSTICALLY INDUCED CELL TRANSFECTION

    William J. Greenleaf;Mark E. Bolander;Gobinda Sarkar;Mary B. Goldring

  • Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia

    Jeffrey M. Granja;Sandy Klemm;Lisa M. McGinnis;Arwa S. Kathiria

  • The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

    Michael P. Snyder;Shin Lin

Frequent Co-Authors

Howard Y. Chang
Howard Y. Chang Amgen (United States)
Jason D. Buenrostro
Jason D. Buenrostro Harvard University
Anshul Kundaje
Anshul Kundaje Stanford University
Paul A. Khavari
Paul A. Khavari Stanford University
Michael Snyder
Michael Snyder Stanford University
Ansuman T. Satpathy
Ansuman T. Satpathy Stanford University
Steven M. Block
Steven M. Block Stanford University
Rhiju Das
Rhiju Das Stanford University
Jonathan K. Pritchard
Jonathan K. Pritchard Stanford University
Daniel Herschlag
Daniel Herschlag Stanford University

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