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David B. Ascher

D-Index & Metrics

Biology and Biochemistry

D-Index
61
Citations
19747
World Ranking
11135
National Ranking
302

David B. Ascher 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 David B. Ascher 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: 223 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

David B. Ascher 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 David B. Ascher 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

David B. Ascher is affiliated with the University of Queensland in Australia. Their research spans multiple areas within biochemistry, genetics, molecular biology, and medicine. A primary focus lies in molecular biology and genetics, with significant contributions also in computational theory, mathematics, infectious diseases, and materials chemistry.

The scientist's recent publications include works on protein structure and dynamics, computational drug discovery methods, and applications of machine learning in bioinformatics. Notable recent papers are:

  • "A structural biology community assessment of AlphaFold2 applications," 2022, Nature Structural & Molecular Biology
  • "DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations," 2020, Protein Science
  • "DDMut: predicting effects of mutations on protein stability using deep learning," 2023, Nucleic Acids Research
  • "Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation," 2020, arXiv (Cornell University)
  • "Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction," 2024, Nucleic Acids Research

Their work frequently appears in publication venues such as bioRxiv (Cold Spring Harbor Laboratory), Briefings in Bioinformatics, Nucleic Acids Research, Protein Science, and Computational and Structural Biotechnology Journal.

Collaboration is an important aspect of this scientist's research, with frequent co-authors including Douglas E. V. Pires, Carlos H. M. Rodrigues, Stephanie Portelli, Yoochan Myung, and Alex G. C. de Sá.

The main fields of study where David B. Ascher contributes are:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Their research subfields include:

  • Molecular Biology
  • Genetics
  • Computational Theory and Mathematics
  • Infectious Diseases
  • Materials Chemistry

Main topics covered in their work are:

  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Vaccines and immunoinformatics approaches

Best Publications

  • pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures

    Douglas E. V. Pires;Tom L. Blundell;David B. Ascher

  • mCSM: predicting the effects of mutations in proteins using graph-based signatures

    Douglas E. V. Pires;David B. Ascher;Tom L. Blundell

  • DUET: A Server for Predicting Effects of Mutations on Protein Stability Using an Integrated Computational Approach

    Douglas E.V. Pires;David B. Ascher;Tom L. Blundell

  • DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability

    Carlos H. M. Rodrigues;Douglas E. V. Pires;David B. Ascher;David B. Ascher;David B. Ascher

  • SDM: a server for predicting effects of mutations on protein stability

    Arun Prasad Pandurangan;Bernardo Ochoa-Montaño;David B. Ascher;David B. Ascher;Tom L. Blundell

  • Arpeggio: A Web Server for Calculating and Visualising Interatomic Interactions in Protein Structures.

    Harry C Jubb;Alicia P Higueruelo;Bernardo Ochoa-Montaño;Will R Pitt

  • DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations.

    Carlos H.M. Rodrigues;Carlos H.M. Rodrigues;Douglas E.V. Pires;Douglas E.V. Pires;David B. Ascher;David B. Ascher;David B. Ascher

  • mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

    Carlos H M Rodrigues;Carlos H M Rodrigues;Yoochan Myung;Yoochan Myung;Douglas E V Pires;Douglas E V Pires;David B Ascher

  • Tumour risks and genotype-phenotype correlations associated with germline variants in succinate dehydrogenase subunit genes SDHB, SDHC and SDHD.

    Katrina Andrews;David Benjamin Ascher;Douglas Eduardo Valente Pires;Daniel Robert Barnes

  • Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam

    Kathryn E. Holt;Paul McAdam;Phan Vuong Khac Thai;Nguyen Thuy Thuong Thuong

  • Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation.

    Joshua Traynelis;Michael Silk;Quanli Wang;Samuel F. Berkovic

  • DNA-PKcs structure suggests an allosteric mechanism modulating DNA double-strand break repair.

    BL Sibanda;Dimitri Yurievich Chirgadze;David Benjamin Ascher;Tom Leon Blundell

  • Mutations at protein-protein interfaces: Small changes over big surfaces have large impacts on human health.

    Harry Jubb;Arun Prasad Pandurangan;Meghan A Turner;Bernardo Ochoa-Montaño

  • Flexibility and small pockets at protein-protein interfaces: New insights into druggability

    Harry Jubb;Tom L. Blundell;David B. Ascher

  • Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

    Moi Hoon Yap;Ryo Hachiuma;Azadeh Alavi;Raphael Brüngel

  • Potent hepatitis C inhibitors bind directly to NS5A and reduce its affinity for RNA.

    David B. Ascher;Jerome Wielens;Tracy L. Nero;Larissa Doughty

  • Identification and characterization of a new cognitive enhancer based on inhibition of insulin-regulated aminopeptidase.

    Anthony L Albiston;Craig J Morton;Hooi Ling Ng;Vi Pham

  • mCSM-lig: quantifying the effects of mutations on protein-small molecule affinity in genetic disease and emergence of drug resistance

    Douglas Ev Pires;Tom Leon Blundell;David Benjamin Ascher

  • mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures

    Douglas E.V. Pires;David B. Ascher

  • Mycobacterium tuberculosis whole genome sequencing and protein structure modelling provides insights into anti-tuberculosis drug resistance

    Jody Phelan;Francesc Coll;Ruth McNerney;Ruth McNerney;David B. Ascher

Frequent Co-Authors

Tom L. Blundell
Tom L. Blundell University of Cambridge
Michael W. Parker
Michael W. Parker University of Melbourne
Taane G. Clark
Taane G. Clark London School of Hygiene & Tropical Medicine
Ruth McNerney
Ruth McNerney University of Cape Town
Martin L. Hibberd
Martin L. Hibberd London School of Hygiene & Tropical Medicine
Leen Rigouts
Leen Rigouts Institute of Tropical Medicine Antwerp
Arnab Pain
Arnab Pain King Abdullah University of Science and Technology
Susana Campino
Susana Campino London School of Hygiene & Tropical Medicine
Kathryn E. Holt
Kathryn E. Holt London School of Hygiene & Tropical Medicine
Eamonn R. Maher
Eamonn R. Maher University of Cambridge

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Related Online Degrees & Career Pathways

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Best Scientists Citing David B. Ascher

Tom L. Blundell

Tom L. Blundell

University of Cambridge

Publications: 51

James M. Murphy

James M. Murphy

Walter and Eliza Hall Institute of Medical Research

Publications: 35

Sebastien Gagneux

Sebastien Gagneux

University of Basel

Publications: 29

Slavé Petrovski

Slavé Petrovski

AstraZeneca (United Kingdom)

Publications: 27

Michael W. Parker

Michael W. Parker

University of Melbourne

Publications: 25

Clifton E. Barry

Clifton E. Barry

National Institute of Allergy and Infectious Diseases

Publications: 21

Christopher J.H. Porter

Christopher J.H. Porter

Monash University

Publications: 20

Taane G. Clark

Taane G. Clark

London School of Hygiene & Tropical Medicine

Publications: 18

Helena I. Boshoff

Helena I. Boshoff

National Institutes of Health

Publications: 18

Siew Yeen Chai

Siew Yeen Chai

Monash University

Publications: 18

Sonia Borrell

Sonia Borrell

Swiss Tropical and Public Health Institute

Publications: 16

M. Michael Gromiha

M. Michael Gromiha

Indian Institute of Technology Madras

Publications: 16

Dong-Qing Wei

Dong-Qing Wei

Shanghai Jiao Tong University

Publications: 16

Mark J. Daly

Mark J. Daly

Massachusetts General Hospital

Publications: 15

Annalisa Santucci

Annalisa Santucci

University of Siena

Publications: 15

Peter E. Czabotar

Peter E. Czabotar

Walter and Eliza Hall Institute of Medical Research

Publications: 14

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