World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
56
Citations
51144
World Ranking
3441
National Ranking
1489

Simon Kasif 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 Simon Kasif 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: 128 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Simon Kasif 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 Simon Kasif 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: 56 D-Index — 21st percentile

21% 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

  • 2013 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Simon Kasif is affiliated with Boston University in the United States and has contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their research covers several subfields including Molecular Biology, Computational Theory and Mathematics, Physiology, Epidemiology, and Infectious Diseases.

The scientist's work focuses on topics such as Bioinformatics and Genomic Networks, Computational Drug Discovery Methods, RNA Research and Splicing, RNA modifications and cancer, Genomics and Phylogenetic Studies, Adipose Tissue and Metabolism, as well as Adipokines, Inflammation, and Metabolic Diseases.

Simon Kasif has coauthored papers with several frequent collaborators, including:

  • Mark Crovella
  • Nure Tasnina
  • Brian J. Haas
  • Alexander Dobin
  • Mahmoud Ghandi

The scientist has published in prominent venues, notably:

  • arXiv (Cornell University)
  • Nature Communications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cell Reports Methods
  • Alzheimer's Research & Therapy

Recent published papers include:

  • Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity, 2020, Nature Communications
  • High-throughput mediation analysis of human proteome and metabolome identifies mediators of post-bariatric surgical diabetes control, 2021, Nature Communications
  • Targeted in silico characterization of fusion transcripts in tumor and normal tissues via FusionInspector, 2023, Cell Reports Methods
  • Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease, 2020, Alzheimer's Research & Therapy
  • We need to keep a reproducible trace of facts, predictions, and hypotheses from gene to function in the era of big data, 2020, PLoS Biology

Simon Kasif was awarded the title Fellow of the Indian National Academy of Engineering (INAE) in 2013.

Best Publications

  • Initial sequencing and analysis of the human genome.

    Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum

  • Improved microbial gene identification with GLIMMER

    Arthur L. Delcher;Douglas Harmon;Simon Kasif;Owen White

  • Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles.

    Jeremiah J Faith;Boris Hayete;Joshua T Thaden;Ilaria Mogno;Ilaria Mogno

  • Microbial gene identification using interpolated Markov models

    Steven L. Salzberg;Arthur L. Delcher;Simon Kasif;Owen White

  • Alignment of whole genomes

    Arthur L. Delcher;Simon Kasif;Robert D. Fleischmann;Jeremy Peterson

  • A system for induction of oblique decision trees

    Sreerama K. Murthy;Simon Kasif;Steven Salzberg

  • Genomewide analysis of PRC1 and PRC2 occupancy identifies two classes of bivalent domains

    Manching Ku;Richard P. Koche;Richard P. Koche;Richard P. Koche;Esther Rheinbay;Esther Rheinbay;Esther Rheinbay;Eric M. Mendenhall;Eric M. Mendenhall

  • Reconstructing and Reprogramming the Tumor-Propagating Potential of Glioblastoma Stem-like Cells

    Mario Luca Suva;Mario Luca Suva;Mario Luca Suva;Esther Rheinbay;Esther Rheinbay;Esther Rheinbay;Shawn M. Gillespie;Shawn M. Gillespie;Shawn M. Gillespie;Anoop Premswaroop Patel;Anoop Premswaroop Patel

  • Extracting conserved gene expression motifs from gene expression data.

    T. M. Murali;Simon Kasif

  • Predicting protein function from protein/protein interaction data: a probabilistic approach

    Stanley Letovsky;Simon Kasif

  • Deep sequencing of the oral microbiome reveals signatures of periodontal disease.

    Bo Liu;Lina L. Faller;Niels Klitgord;Varun Mazumdar

  • Whole-genome annotation by using evidence integration in functional-linkage networks

    Ulas Karaoz;T. M. Murali;Stan Letovsky;Yu Zheng

  • An aberrant transcription factor network essential for Wnt signaling and stem cell maintenance in glioblastoma

    Esther Rheinbay;Mario L. Suvà;Mario L. Suvà;Mario L. Suvà;Shawn M. Gillespie;Shawn M. Gillespie;Shawn M. Gillespie;Hiroaki Wakimoto

  • OC1: randomized induction of oblique decision trees

    Sreerama Murthy;Simon Kasif;Steven Salzberg;Richard Beigel

  • RankGene: identification of diagnostic genes based on expression data.

    Yang Su;T. M. Murali;Vladimir Pavlovic;Michael Schaffer

  • Immediate-early and delayed primary response genes are distinct in function and genomic architecture

    John W. Tullai;Michael E. Schaffer;Steven Mullenbrock;Gabriel Sholder

  • Computational methods in molecular biology

    Steven L. Salzberg;David B. Searls;Simon Kasif

  • Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models

    Manway Liu;Arthur Liberzon;Sek Won Won Kong;Sek Won Won Kong;Weil R Lai

  • On the parallel complexity of discrete relaxation in constraint satisfaction networks

    Simon Kasif

  • Reconstructing and Reprogramming the Tumor-Propagating Potential of Glioblastoma Stem-like Cells

    Mario L. Suvà;Esther Rheinbay;Shawn M. Gillespie;Anoop P. Patel

Frequent Co-Authors

Arthur L. Delcher
Arthur L. Delcher University of Maryland, College Park
Steven L. Salzberg
Steven L. Salzberg Johns Hopkins University
Richard J. Roberts
Richard J. Roberts New England Biolabs
Charles R. Cantor
Charles R. Cantor Boston University
Bradley E. Bernstein
Bradley E. Bernstein Broad Institute
Richard Beigel
Richard Beigel Temple University
Isaac S. Kohane
Isaac S. Kohane Harvard University
Zhiping Weng
Zhiping Weng University of Massachusetts Chan Medical School
Peter J. Park
Peter J. Park Harvard University
Jill P. Mesirov
Jill P. Mesirov University of California, San Diego

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