William J. Greenleaf

505 total papers · 47.3k total citations
142 papers, 20.4k citations indexed

About

William J. Greenleaf is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, William J. Greenleaf has authored 142 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 18 papers in Immunology and 15 papers in Cancer Research. Recurrent topics in William J. Greenleaf's work include Genomics and Chromatin Dynamics (42 papers), RNA and protein synthesis mechanisms (38 papers) and Single-cell and spatial transcriptomics (32 papers). William J. Greenleaf is often cited by papers focused on Genomics and Chromatin Dynamics (42 papers), RNA and protein synthesis mechanisms (38 papers) and Single-cell and spatial transcriptomics (32 papers). William J. Greenleaf collaborates with scholars based in United States, Sweden and Germany. William J. Greenleaf's co-authors include Howard Y. Chang, Jason D. Buenrostro, Beijing Wu, Paul G. Giresi, Lisa C. Zaba, Steven M. Block, Sandy Klemm, Zohar Shipony, M Snyder and Alicia N. Schep and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

William J. Greenleaf

133 papers receiving 20.3k citations

Hit Papers

Transposition of native c... 2005 2026 2012 2019 2013 2015 2015 2019 2017 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position
    2013 3.9k citations Jason D. Buenrostro, Paul G. Giresi et al. Nature Methods profile →
  2. ATAC‐seq: A Method for Assaying Chromatin Accessibility Genome‐Wide
    2015 2.0k citations Jason D. Buenrostro, Beijing Wu et al. Current Protocols in Molecular Biology profile →
  3. Single-cell chromatin accessibility reveals principles of regulatory variation
    2015 1.4k citations Jason D. Buenrostro, Beijing Wu et al. Nature profile →
  4. Chromatin accessibility and the regulatory epigenome
    2019 984 citations Sandy Klemm, Zohar Shipony et al. Nature Reviews Genetics profile →
  5. chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data
    2017 749 citations Alicia N. Schep, Beijing Wu et al. Nature Methods profile →
  6. HiChIP: efficient and sensitive analysis of protein-directed genome architecture
    2016 682 citations Maxwell R. Mumbach, Adam J. Rubin et al. Nature Methods profile →
  7. Direct observation of base-pair stepping by RNA polymerase
    2005 657 citations Elio A. Abbondanzieri, William J. Greenleaf et al. Nature profile →
  8. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution
    2016 651 citations M. Ryan Corces, Jason D. Buenrostro et al. Nature Genetics profile →
  9. ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
    2021 543 citations Jeffrey M. Granja, M. Ryan Corces et al. Nature Genetics profile →
  10. Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation
    2018 395 citations Jason D. Buenrostro, M. Ryan Corces et al. Cell profile →
  11. Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution
    2021 215 citations Alexandro E. Trevino, Fabian Müller et al. Cell profile →
  12. Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer
    2022 148 citations Winston R. Becker, Stephanie Nevins et al. Nature Genetics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William J. Greenleaf 16.0k 2.8k 2.7k 2.5k 1.6k 142 20.4k
Heinrich Leonhardt 17.6k 1.1× 1.5k 0.5× 981 0.4× 3.1k 1.2× 1.9k 1.2× 266 21.8k
John T. Lis 24.1k 1.5× 1.6k 0.6× 1.7k 0.6× 2.5k 1.0× 1.7k 1.1× 218 26.6k
Tom Misteli 23.4k 1.5× 2.5k 0.9× 1.9k 0.7× 2.5k 1.0× 1.5k 1.0× 195 28.4k
Alexander van Oudenaarden 29.0k 1.8× 2.2k 0.8× 6.0k 2.2× 6.5k 2.6× 3.9k 2.5× 200 36.4k
Robert H. Singer 29.3k 1.8× 1.1k 0.4× 2.0k 0.7× 3.0k 1.2× 1.3k 0.8× 325 34.9k
Leonid A. Mirny 24.4k 1.5× 988 0.4× 1.3k 0.5× 4.0k 1.6× 499 0.3× 149 27.3k
Angus I. Lamond 24.8k 1.5× 1.7k 0.6× 2.1k 0.8× 2.3k 0.9× 2.2k 1.4× 268 28.6k
Sheldon Penman 18.7k 1.2× 946 0.3× 1.1k 0.4× 3.5k 1.4× 2.0k 1.2× 229 25.1k
Michael K. Rosen 18.2k 1.1× 1.9k 0.7× 542 0.2× 1.4k 0.6× 900 0.6× 142 23.4k
Edward H. Egelman 12.6k 0.8× 1.6k 0.6× 596 0.2× 3.4k 1.4× 790 0.5× 319 19.2k

Countries citing papers authored by William J. Greenleaf

Since Specialization
Citations

This map shows the geographic impact of William J. Greenleaf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William J. Greenleaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Greenleaf more than expected).

Fields of papers citing papers by William J. Greenleaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Greenleaf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William J. Greenleaf. The network helps show where William J. Greenleaf may publish in the future.

Co-authorship network of co-authors of William J. Greenleaf

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Greenleaf. A scholar is included among the top collaborators of William J. Greenleaf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William J. Greenleaf. William J. Greenleaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by James M. McKenney Breakdown of academic impact, for papers by David M. Mosser Breakdown of academic impact, for papers by Yvette I. Sheline Breakdown of academic impact, for papers by Joe V. Selby Breakdown of academic impact, for papers by Nicholas A. Melosh Breakdown of academic impact, for papers by André van der Kouwe Breakdown of academic impact, for papers by J. Milburn Jessup Breakdown of academic impact, for papers by Christopher A. Bradfield
Rankless by CCL
2026