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Matthieu Schapira

Matthieu Schapira

University of Toronto
Canada

D-Index & Metrics

Biology and Biochemistry

D-Index
61
Citations
18724
World Ranking
11154
National Ranking
386

Matthieu Schapira publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Matthieu Schapira sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 272 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Matthieu Schapira D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Matthieu Schapira sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 61 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Matthieu Schapira is affiliated with the University of Toronto in Canada and has contributed extensively to the field of Biochemistry, Genetics and Molecular Biology, with a total of 143 publications. Their research spans several subfields, including Molecular Biology, Computational Theory and Mathematics, Oncology, Infectious Diseases, and Organic Chemistry.

Their main research topics cover a wide array of specialized areas such as:

  • Computational Drug Discovery Methods
  • Protein Degradation and Inhibitors
  • Ubiquitin and proteasome pathways
  • RNA and protein synthesis mechanisms
  • Epigenetics and DNA Methylation
  • Peptidase Inhibition and Analysis
  • Histone Deacetylase Inhibitors Research

Notable recent publications by Matthieu Schapira include:

  • Protein arginine methylation: from enigmatic functions to therapeutic targeting, 2021, Nature Reviews Drug Discovery
  • Structure, mechanism and crystallographic fragment screening of the SARS-CoV-2 NSP13 helicase, 2021, Nature Communications
  • A chemical probe targeting the PWWP domain alters NSD2 nucleolar localization, 2021, Nature Chemical Biology
  • Probing the SAM Binding Site of SARS-CoV-2 Nsp14 In Vitro Using SAM Competitive Inhibitors Guides Developing Selective Bisubstrate Inhibitors, 2021, SLAS DISCOVERY
  • CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding, 2022, Nature Reviews Chemistry

Their frequent co-authors include:

  • C.H. Arrowsmith
  • Rachel Harding
  • Suzanne Ackloo
  • Peter J. Brown
  • Masoud Vedadi

Matthieu Schapira's research has been published in multiple venues, with notable frequency in the following:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Medicinal Chemistry
  • Journal of Chemical Information and Modeling
  • UNC Libraries

Best Publications

  • Regulated Translation Initiation Controls Stress-Induced Gene Expression in Mammalian Cells

    Heather P Harding;Isabel Novoa;Yuhong Zhang;Huiqing Zeng

  • Epigenetic protein families: a new frontier for drug discovery

    Cheryl H. Arrowsmith;Chas Bountra;Paul V. Fish;Kevin Lee;Kevin Lee

  • The promise and peril of chemical probes.

    Cheryl H. Arrowsmith;James E. Audia;Christopher Austin;Jonathan Baell

  • Somatic mutations at EZH2 Y641 act dominantly through a mechanism of selectively altered PRC2 catalytic activity, to increase H3K27 trimethylation.

    Damian B. Yap;Damian B. Yap;Justin Chu;Tobias Berg;Matthieu Schapira

  • Targeted protein degradation: expanding the toolbox.

    Matthieu Schapira;Matthieu Schapira;Matthew F Calabrese;Alex N Bullock;Craig M Crews

  • A systematic analysis of atomic protein–ligand interactions in the PDB

    Renato Ferreira de Freitas;Matthieu Schapira;Matthieu Schapira

  • Recognition and specificity determinants of the human cbx chromodomains.

    Lilia Kaustov;Hui Ouyang;Maria J Amaya;Alexander Lemak

  • Human HDAC7 Harbors a Class IIa Histone Deacetylase-specific Zinc Binding Motif and Cryptic Deacetylase Activity

    Anja Schuetz;Jinrong Min;Jinrong Min;Abdellah Allali-Hassani;Matthieu Schapira;Matthieu Schapira

  • Catalytic site remodelling of the DOT1L methyltransferase by selective inhibitors

    Wenyu Yu;Emma J. Chory;Emma J. Chory;Amy K. Wernimont;Wolfram Tempel

  • Structural biology of human H3K9 methyltransferases

    Hong Wu;Jinrong Min;Vladimir V. Lunin;Tatiana Antoshenko

  • Protein arginine methylation: from enigmatic functions to therapeutic targeting.

    Qin Wu;Matthieu Schapira;Cheryl H Arrowsmith;Cheryl H Arrowsmith;Cheryl H Arrowsmith;Dalia Barsyte-Lovejoy;Dalia Barsyte-Lovejoy

  • Structural Basis for the Discriminative Recognition of N6-Methyladenosine RNA by the Human YT521-B Homology Domain Family of Proteins *

    Chao Xu;Ke Liu;Hazem Ahmed;Peter Loppnau

  • A Potent, Selective, and Cell-Active Inhibitor of Human Type I Protein Arginine Methyltransferases

    Mohammad S. Eram;Yudao Shen;Magdalena M. Szewczyk;Hong Wu

  • WD40 repeat domain proteins: a novel target class?

    Matthieu Schapira;Mike Tyers;Maricel Torrent;Cheryl H. Arrowsmith;Cheryl H. Arrowsmith

  • Pharmacological targeting of the Wdr5-MLL interaction in C/EBPα N-terminal leukemia

    Florian Grebien;Masoud Vedadi;Masoud Vedadi;Matthäus Getlik;Roberto Giambruno

  • BAZ2A (TIP5) is involved in epigenetic alterations in prostate cancer and its overexpression predicts disease recurrence

    Lei Gu;Sandra C Frommel;Christopher C Oakes;Ronald Simon

  • Nuclear hormone receptor targeted virtual screening.

    Matthieu Schapira;Ruben Abagyan;Maxim Totrov

  • Discovery of diverse thyroid hormone receptor antagonists by high-throughput docking

    Matthieu Schapira;Bruce M. Raaka;Sharmistha Das;Li Fan

  • Prediction of the binding energy for small molecules, peptides and proteins.

    Matthieu Schapira;Maxim Totrov;Ruben Abagyan

  • (R)-PFI-2 is a potent and selective inhibitor of SETD7 methyltransferase activity in cells.

    Dalia Barsyte-Lovejoy;Fengling Li;Menno J. Oudhoff;John H. Tatlock

Frequent Co-Authors

Cheryl H. Arrowsmith
Cheryl H. Arrowsmith Structural Genomics Consortium
Masoud Vedadi
Masoud Vedadi Structural Genomics Consortium
Peter Brown
Peter Brown University of Oxford
Aled M. Edwards
Aled M. Edwards Structural Genomics Consortium
Dalia Barsyte-Lovejoy
Dalia Barsyte-Lovejoy Structural Genomics Consortium
Jinrong Min
Jinrong Min Structural Genomics Consortium
Jian Jin
Jian Jin Icahn School of Medicine at Mount Sinai
Ruben Abagyan
Ruben Abagyan University of California, San Diego
Stefan Knapp
Stefan Knapp Goethe University Frankfurt
Mark Lautens
Mark Lautens University of Toronto

External Links

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Best Scientists Citing Matthieu Schapira

Cheryl H. Arrowsmith

Cheryl H. Arrowsmith

Structural Genomics Consortium

Publications: 127

Masoud Vedadi

Masoud Vedadi

Structural Genomics Consortium

Publications: 90

David Ron

David Ron

University of Cambridge

Publications: 75

Randal J. Kaufman

Randal J. Kaufman

Sanford Burnham Prebys Medical Discovery Institute

Publications: 74

Stefan Knapp

Stefan Knapp

Goethe University Frankfurt

Publications: 67

Ronald C. Wek

Ronald C. Wek

Indiana University

Publications: 54

Heather P. Harding

Heather P. Harding

University of Cambridge

Publications: 51

Jinrong Min

Jinrong Min

Structural Genomics Consortium

Publications: 47

Jian Jin

Jian Jin

Icahn School of Medicine at Mount Sinai

Publications: 44

Ruben Abagyan

Ruben Abagyan

University of California, San Diego

Publications: 43

Peter Brown

Peter Brown

University of Oxford

Publications: 40

Stephen V. Frye

Stephen V. Frye

University of North Carolina at Chapel Hill

Publications: 39

Cheng Luo

Cheng Luo

Chinese Academy of Sciences

Publications: 35

Susanne Müller

Susanne Müller

Structural Genomics Consortium

Publications: 32

Robert A. Copeland

Robert A. Copeland

Accent Therapeutics (United States)

Publications: 32

Manfred Jung

Manfred Jung

University of Freiburg

Publications: 31

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Monash University

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