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Silvio C. E. Tosatto

Silvio C. E. Tosatto

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Computer Science
Italy
2025

D-Index & Metrics

Biology and Biochemistry

D-Index
71
Citations
40682
World Ranking
6489
National Ranking
154

Computer Science

D-Index
64
Citations
37688
World Ranking
2509
National Ranking
42

Silvio C. E. Tosatto 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 Silvio C. E. Tosatto 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Silvio C. E. Tosatto 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 Silvio C. E. Tosatto sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Silvio C. E. Tosatto is affiliated with the University of Padua in Italy and specializes in the fields of Biochemistry, Genetics, and Molecular Biology. Within these broader areas, their work spans several subfields including Molecular Biology, Materials Chemistry, Genetics, Spectroscopy, and Cancer Research.

The scientist's research interests focus on diverse topics related to protein science and bioinformatics. The main topics covered include:

  • Protein Structure and Dynamics
  • Bioinformatics and Genomic Networks
  • Enzyme Structure and Function
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • RNA and Protein Synthesis Mechanisms
  • Cancer, Hypoxia, and Metabolism

Silvio C. E. Tosatto has contributed to numerous publications, with recent notable papers being:

  • "Pfam: The protein families database in 2021" (2020) published in Nucleic Acids Research
  • "InterPro in 2022" (2022) published in Nucleic Acids Research
  • "The Gene Ontology knowledgebase in 2023" (2023) published in Genetics
  • "The InterPro protein families and domains database: 20 years on" (2020) published in Nucleic Acids Research
  • "InterPro: the protein sequence classification resource in 2025" (2024) published in Nucleic Acids Research

Their work is frequently published in venues such as:

  • Nucleic Acids Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • arXiv (Cornell University)
  • Nature Methods

Silvio C. E. Tosatto has collaborated with multiple co-authors over their career. Frequent collaborators include:

  • Damiano Piovesan
  • Alexander Miguel Monzón
  • Giovanni Minervini
  • Federica Quaglia
  • András Hatos

Best Publications

  • Pfam: The protein families database in 2021.

    Jaina Mistry;Sara Chuguransky;Lowri Williams;Matloob Qureshi

  • The Pfam protein families database in 2019.

    Sara El-Gebali;Jaina Mistry;Alex Bateman;Sean R Eddy

  • InterPro in 2022

    Unknown

  • The Gene Ontology knowledgebase in 2023

    Unknown

  • The InterPro protein families and domains database: 20 years on.

    Matthias Blum;Hsin Yu Chang;Sara Chuguransky;Tiago Grego

  • InterPro in 2017-beyond protein family and domain annotations

    Robert D. Finn;Teresa K. Attwood;Patricia C. Babbitt;Alex Bateman

  • InterPro in 2019: improving coverage, classification and access to protein sequence annotations.

    Alex L. Mitchell;Teresa K. Attwood;Patricia C. Babbitt;Matthias Blum

  • QMEAN: A comprehensive scoring function for model quality assessment.

    Pascal Benkert;Silvio C. E. Tosatto;Dietmar Schomburg;Dietmar Schomburg

  • InterPro: the protein sequence classification resource in 2025.

    Unknown

  • ESpritz: accurate and fast prediction of protein disorder.

    Ian Walsh;Alberto J. M. Martin;Tomàs Di Domenico;Silvio C. E. Tosatto

  • PASTA 2.0: an improved server for protein aggregation prediction.

    Ian Walsh;Flavio Seno;Silvio C.E. Tosatto;Antonio Trovato

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • The RING 2.0 web server for high quality residue interaction networks.

    Damiano Piovesan;Giovanni Minervini;Silvio C.E. Tosatto

  • Critical assessment of protein intrinsic disorder prediction

    Marco Necci;Damiano Piovesan;Caid Predictors;DisProt Curators

  • DisProt 7.0: a major update of the database of disordered proteins.

    Damiano Piovesan;Francesco Tabaro;Francesco Tabaro;Ivan Micetic;Marco Necci

  • Evolutionary and structural insights into the multifaceted glutathione peroxidase (Gpx) superfamily.

    Stefano Toppo;Stefano Vanin;Valentina Bosello;Silvio C.E. Tosatto

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • The PASTA server for protein aggregation prediction.

    Antonio Trovato;Flavio Seno;Silvio C.E. Tosatto

  • DisProt: intrinsic protein disorder annotation in 2020.

    András Hatos;Borbála Hajdu-Soltész;Alexander M Monzon;Nicolas Palopoli

  • MobiDB: intrinsically disordered proteins in 2021.

    Damiano Piovesan;Marco Necci;Nahuel Escobedo;Alexander Miguel Monzon

  • MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins.

    Damiano Piovesan;Francesco Tabaro;Lisanna Paladin;Marco Necci;Marco Necci

  • MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins

    Emilio Potenza;Tomás Di Domenico;Ian Walsh;Silvio C.E. Tosatto

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Peter Tompa
Peter Tompa Vrije Universiteit Brussel
Carlo Ferrari
Carlo Ferrari University of Parma
Wim F. Vranken
Wim F. Vranken Vrije Universiteit Brussel
Steven E. Brenner
Steven E. Brenner University of California, Berkeley
Rita Casadio
Rita Casadio University of Bologna
Norman E. Davey
Norman E. Davey Institute of Cancer Research
Andrey V. Kajava
Andrey V. Kajava University of Montpellier
Christophe Dessimoz
Christophe Dessimoz University College London
Julian Gough
Julian Gough University of Bristol
David T. Jones
David T. Jones University College London

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