World's Best Scientists 2026 revealed!
Joshua Z. Levin

Joshua Z. Levin

D-Index & Metrics

Genetics

D-Index
70
Citations
49274
World Ranking
2226
National Ranking
1001

Joshua Z. Levin 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 Joshua Z. Levin 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: 107 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Joshua Z. Levin 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 Joshua Z. Levin 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: 70 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Joshua Z. Levin is affiliated with the Broad Institute in the United States. Their research primarily focuses on biochemistry, genetics, and molecular biology, with a particular emphasis on molecular biology as indicated by a significant number of publications. Additional subfields of study include neurology, immunology, cellular and molecular neuroscience, and genetics.

The topics central to their work cover various aspects of molecular and cellular biology. Notable research areas include single-cell and spatial transcriptomics, neuroinflammation and neurodegeneration mechanisms, CRISPR and genetic engineering, pluripotent stem cells research, RNA research and splicing, neurogenesis and neuroplasticity mechanisms, and gene regulatory network analysis.

Joshua Z. Levin has contributed to numerous scientific papers published in multiple venues. Frequent publication platforms include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Nature Biotechnology
  • arXiv (Cornell University)
  • Cell

Among recent papers authored or co-authored by Levin are:

  • "Systematic comparison of single-cell and single-nucleus RNA-sequencing methods," 2020, Nature Biotechnology
  • "Benchmarking single-cell RNA-sequencing protocols for cell atlas projects," 2020, Nature Biotechnology
  • "Autism genes converge on asynchronous development of shared neuron classes," 2022, Nature
  • "In vivo Perturb-Seq reveals neuronal and glial abnormalities associated with autism risk genes," 2020, Science
  • "The evolution, evolvability and engineering of gene regulatory DNA," 2022, Nature

Levin's collaboration network includes frequent co-authors such as Sean Simmons, Xian Adiconis, Aviv Regev, Paola Arlotta, and Kwanho Kim, reflecting an active engagement with other researchers in related fields.

Best Publications

  • Full-length transcriptome assembly from RNA-Seq data without a reference genome.

    Manfred G Grabherr;Brian J Haas;Moran Yassour;Moran Yassour;Joshua Z Levin

  • Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs

    Mitchell Guttman;Manuel Garber;Joshua Z Levin;Julie Donaghey

  • Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells

    Alex K. Shalek;Rahul Satija;Xian Adiconis;Rona S. Gertner

  • Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics.

    Karthik Shekhar;Sylvain W. Lapan;Sylvain W. Lapan;Irene E. Whitney;Nicholas M. Tran

  • RNA-SeQC

    David S. DeLuca;Joshua Z. Levin;Andrey Sivachenko;Timothy Fennell

  • Individual brain organoids reproducibly form cell diversity of the human cerebral cortex

    Silvia Velasco;Amanda J. Kedaigle;Amanda J. Kedaigle;Sean K. Simmons;Allison Nash;Allison Nash

  • Comprehensive comparative analysis of strand-specific RNA sequencing methods

    Joshua Z Levin;Moran Yassour;Moran Yassour;Xian Adiconis;Chad Nusbaum

  • Systematic comparison of single-cell and single-nucleus RNA-sequencing methods.

    Jiarui Ding;Xian Adiconis;Sean K. Simmons;Monika S. Kowalczyk

  • Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis

    Andrea Pauli;Eivind Valen;Michael F. Lin;Manuel Garber

  • The African coelacanth genome provides insights into tetrapod evolution

    Chris T. Amemiya;Chris T. Amemiya;Jessica Alfoldi;Alison P. Lee;Shaohua Fan

  • Peptidomic discovery of short open reading frame–encoded peptides in human cells

    Sarah A Slavoff;Andrew J Mitchell;Adam G Schwaid;Moran N Cabili;Moran N Cabili

  • The SHOOT MERISTEMLESS gene is required for maintenance of undifferentiated cells in Arabidopsis shoot and floral meristems and acts at a different regulatory level than the meristem genes WUSCHEL and ZWILLE

    Karin Endrizzi;Bernard Moussian;Achim Haecker;Joshua Z. Levin

  • Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells

    Michal Rabani;Joshua Z Levin;Lin Fan;Xian Adiconis

  • Single-Cell Profiles of Retinal Ganglion Cells Differing in Resilience to Injury Reveal Neuroprotective Genes.

    Nicholas M. Tran;Karthik Shekhar;Irene E. Whitney;Anne Jacobi

  • Single-cell transcriptomic profiling of the aging mouse brain.

    Methodios Ximerakis;Scott L Lipnick;Brendan T Innes;Sean K Simmons

  • Comparative functional genomics of the fission yeasts

    Nicholas Rhind;Zehua Chen;Moran Yassour;Moran Yassour;Dawn A. Thompson

  • Comparative analysis of RNA sequencing methods for degraded or low-input samples

    Xian Adiconis;Diego Borges-Rivera;Rahul Satija;David S DeLuca

  • The CLAVATA and SHOOT MERISTEMLESS loci competitively regulate meristem activity in Arabidopsis

    Steven E. Clark;Steven E. Jacobsen;Joshua Z. Levin;Elliot M. Meyerowitz

  • Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects

    Elisabetta Mereu;Atefeh Lafzi;Catia Moutinho;Christoph Ziegenhain

  • Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts

    Joshua Z Levin;Michael F Berger;Xian Adiconis;Peter Rogov

Frequent Co-Authors

Aviv Regev
Aviv Regev Genentech
Andreas Gnirke
Andreas Gnirke Broad Institute
Chad Nusbaum
Chad Nusbaum Cellarity
Nir Hacohen
Nir Hacohen Harvard University
Bruce W. Birren
Bruce W. Birren Broad Institute
Sarah Young
Sarah Young University of North Georgia
Qiandong Zeng
Qiandong Zeng LabCorp (United States)
Paola Arlotta
Paola Arlotta Harvard University
Eric S. Lander
Eric S. Lander Broad Institute
Kristian G. Andersen
Kristian G. Andersen Scripps Research Institute

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