World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
23982
World Ranking
1572
National Ranking
33

Biology and Biochemistry

D-Index
80
Citations
26913
World Ranking
4028
National Ranking
38

Roded Sharan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Roded Sharan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Roded Sharan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Roded Sharan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Roded Sharan is affiliated with Tel Aviv University in Israel and has contributed extensively to the field of Biochemistry, Genetics and Molecular Biology, with a particular focus on Molecular Biology. Their body of work includes 116 publications primarily in this domain.

Their research covers several subfields, including Molecular Biology, Cancer Research, Biophysics, Genetics, and Infectious Diseases. The main topics they investigate include Bioinformatics and Genomic Networks, Gene Expression and Cancer Classification, Cell Image Analysis Techniques, Cancer Genomics and Diagnostics, Single-cell and Spatial Transcriptomics, Computational Drug Discovery Methods, and Genomics and Phylogenetic Studies.

Among the notable recent papers by Roded Sharan are:

  • Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients, 2021, Nature Cancer
  • Interactome Mapping Provides a Network of Neurodegenerative Disease Proteins and Uncovers Widespread Protein Aggregation in Affected Brains, 2020, Cell Reports
  • SARS-CoV-2 variants evolve convergent strategies to remodel the host response, 2023, Cell
  • Effect of SARS-CoV-2 proteins on vascular permeability, 2021, eLife
  • Current and future directions in network biology, 2024, Bioinformatics Advances

Roded Sharan frequently collaborates with several researchers, including Mark D.M. Leiserson, Rami Nasser, Itay Sason, Einat Beery, and Meir Lahav.

The scientist has published consistently in a range of venues, with frequent publications in bioRxiv (Cold Spring Harbor Laboratory), Bioinformatics Advances, Bioinformatics, eLife, and Genome Medicine.

Best Publications

  • Network-based prediction of protein function

    Roded Sharan;Igor Ulitsky;Ron Shamir

  • Discovering statistically significant biclusters in gene expression data.

    Amos Tanay;Roded Sharan;Ron Shamir

  • Associating Genes and Protein Complexes with Disease via Network Propagation

    Oron Vanunu;Oded Magger;Eytan Ruppin;Tomer Shlomi

  • Protein networks in disease.

    Trey Ideker;Roded Sharan

  • Conserved patterns of protein interaction in multiple species

    Roded Sharan;Silpa Suthram;Ryan M. Kelley;Tanja Kuhn

  • PREDICT: a method for inferring novel drug indications with application to personalized medicine.

    Assaf Gottlieb;Gideon Y Stein;Gideon Y Stein;Eytan Ruppin;Roded Sharan

  • Network propagation: a universal amplifier of genetic associations

    Lenore Cowen;Trey Ideker;Benjamin J. Raphael;Roded Sharan

  • Modeling cellular machinery through biological network comparison

    Roded Sharan;Trey Ideker

  • Conserved pathways within bacteria and yeast as revealed by global protein network alignment

    Brian P. Kelley;Roded Sharan;Richard M. Karp;Taylor Sittler

  • Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis

    Roded Sharan;Ron Shamir

  • Competitive and cooperative metabolic interactions in bacterial communities.

    Shiri Freilich;Raphy Zarecki;Omer Eilam;Ella Shtifman Segal

  • An initial blueprint for myogenic differentiation

    Alexandre Blais;Mary Tsikitis;Diego Acosta-Alvear;Roded Sharan

  • PathBLAST: a tool for alignment of protein interaction networks.

    Brian P. Kelley;Bingbing Yuan;Fran Lewitter;Roded Sharan

  • Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data

    Amos Tanay;Roded Sharan;Martin Kupiec;Ron Shamir

  • Cluster graph modification problems

    Ron Shamir;Roded Sharan;Dekel Tsur

  • CLICK and EXPANDER: a system for clustering and visualizing gene expression data.

    Roded Sharan;Adi Maron-Katz;Ron Shamir

  • Using deep learning to model the hierarchical structure and function of a cell.

    Jianzhu Ma;Michael Ku Yu;Samson Fong;Keiichiro Ono

  • EXPANDER – an integrative program suite for microarray data analysis

    Ron Shamir;Adi Maron-Katz;Amos Tanay;Chaim Linhart

  • Genome-Wide In Silico Identification of Transcriptional Regulators Controlling the Cell Cycle in Human Cells

    Ran Elkon;Chaim Linhart;Roded Sharan;Ron Shamir

  • Biclustering Algorithms: A Survey

    Amos Tanay;Roded Sharan;Ron Shamir

  • Revealing modularity and organization in the yeast molecular network by integrated analysis of highl

    Amos Tanay;Roded Sharan;Martin Kupiec;Ron Shamir

Frequent Co-Authors

Eytan Ruppin
Eytan Ruppin National Institutes of Health
Ron Shamir
Ron Shamir Tel Aviv University
Martin Kupiec
Martin Kupiec Tel Aviv University
Trey Ideker
Trey Ideker University of California, San Diego
Nir Yosef
Nir Yosef University of California, Berkeley
Richard M. Karp
Richard M. Karp University of California, Berkeley
Teresa M. Przytycka
Teresa M. Przytycka National Institutes of Health
Zohar Yakhini
Zohar Yakhini Technion – Israel Institute of Technology
Amos Tanay
Amos Tanay Weizmann Institute of Science
Vineet Bafna
Vineet Bafna University of California, San Diego

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