World's Best Scientists 2026 revealed!
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Biology and Biochemistry
Ireland
2026

D-Index & Metrics

Biology and Biochemistry

D-Index
94
Citations
31273
World Ranking
2019
National Ranking
10

Michael J. Dunn 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 Michael J. Dunn 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: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 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: 417 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: 196 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: 59 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: 480 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Michael J. Dunn 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 Michael J. Dunn sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 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: 71 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: 94 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Biology and Biochemistry in Ireland Leader Award
  • 2025 - Research.com Biology and Biochemistry in Ireland Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • Enzyme

The scientist’s investigation covers issues in Proteomics, Chromatography, Two-dimensional gel electrophoresis, Computational biology and Polyacrylamide gel electrophoresis. His Proteomics study combines topics in areas such as Bioinformatics, Bipolar disorder, Psychosis, Molecular biology and Neuroscience. His work deals with themes such as Isoelectric focusing, Gel electrophoresis and Peptide, which intersect with Chromatography.

The concepts of his Two-dimensional gel electrophoresis study are interwoven with issues in Image processing, Image registration, Quantitative proteomics and Heart failure. Michael J. Dunn combines subjects such as Proteome, Heart disease, Disease and Gene isoform with his study of Computational biology. His Polyacrylamide gel electrophoresis research is multidisciplinary, relying on both Isoelectric point, Protein subunit and Electrophoresis.

His most cited work include:

  • Current two‐dimensional electrophoresis technology for proteomics (1584 citations)
  • Gel Electrophoresis of Proteins (692 citations)
  • A modified silver staining protocol for visualization of proteins compatible with matrix-assisted laser desorption/ionization and electrospray ionization- mass spectrometry (640 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Proteomics, Computational biology, Proteome, Chromatography and Internal medicine. His work in Proteomics tackles topics such as Cell biology which are related to areas like Cell growth. Michael J. Dunn has included themes like Human proteome project and Operations research in his Proteome study.

His Chromatography study integrates concerns from other disciplines, such as Two-dimensional gel electrophoresis, Polyacrylamide gel electrophoresis and Isoelectric focusing. His Two-dimensional gel electrophoresis research includes elements of Gel electrophoresis of proteins, Gel electrophoresis and Quantitative proteomics. His Internal medicine study incorporates themes from Endocrinology and Cardiology.

He most often published in these fields:

  • Proteomics (42.47%)
  • Computational biology (21.40%)
  • Proteome (18.06%)

What were the highlights of his more recent work (between 2011-2017)?

  • Proteomics (42.47%)
  • Computational biology (21.40%)
  • Internal medicine (15.05%)

In recent papers he was focusing on the following fields of study:

Michael J. Dunn mainly investigates Proteomics, Computational biology, Internal medicine, Endocrinology and Proteome. His study deals with a combination of Proteomics and Field. The study incorporates disciplines such as Protein expression, Hippocampus, Membrane protein and False discovery rate in addition to Computational biology.

The study of Internal medicine is intertwined with the study of Cardiology in a number of ways. His biological study spans a wide range of topics, including Molecular biology, Neuroproteomics, Protein purification and G protein. His Molecular biology study deals with Primary and secondary antibodies intersecting with Gel electrophoresis.

Between 2011 and 2017, his most popular works were:

  • Gel Electrophoresis of Proteins (692 citations)
  • A comparison of the bovine uterine and plasma proteome using iTRAQ proteomics. (32 citations)
  • Composition of the bovine uterine proteome is associated with stage of cycle and concentration of systemic progesterone (28 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Internal medicine
  • Enzyme

His primary scientific interests are in Proteomics, Internal medicine, Endocrinology, Computational biology and Gel electrophoresis. He performs multidisciplinary studies into Proteomics and Field in his work. His Endocrinology research is multidisciplinary, incorporating elements of Psychopharmacology and Case-control study.

Michael J. Dunn interconnects Integral membrane protein, Membrane protein and Hippocampus in the investigation of issues within Computational biology. His Gel electrophoresis research integrates issues from Psoriatic arthritis, Immunology, Arthritis and Alpha. His Proteome research incorporates themes from Molecular biology, Neuroproteomics, Protein purification and G protein.

Best Publications

  • Current two‐dimensional electrophoresis technology for proteomics

    Angelika Görg;Walter Weiss;Michael J. Dunn

  • Gel Electrophoresis of Proteins

    Michael J. Dunn

  • A modified silver staining protocol for visualization of proteins compatible with matrix-assisted laser desorption/ionization and electrospray ionization- mass spectrometry

    Jun X. Yan;Robin Wait;Tom Berkelman;Rachel A. Harry

  • The minimum information about a proteomics experiment (MIAPE)

    Chris F. Taylor;Chris F. Taylor;Norman W. Paton;Norman W. Paton;Kathryn S. Lilley;Kathryn S. Lilley;Pierre Alain Binz;Pierre Alain Binz

  • Endothelin stimulates phospholipase C, Na+/H+ exchange, c-fos expression, and mitogenesis in rat mesangial cells.

    Michael Scott Simonson;S. Wann;P. Mene;George R Dubyak

  • Proteomics: new perspectives, new biomedical opportunities

    Rosamonde E Banks;Michael J Dunn;Denis F Hochstrasser;Jean-Charles Sanchez

  • A HUPO test sample study reveals common problems in mass spectrometry–based proteomics

    Alexander W. Bell;Eric W. Deutsch;Catherine E. Au;Robert E. Kearney

  • The potential use of laser capture microdissection to selectively obtain distinct populations of cells for proteomic analysis--preliminary findings.

    Rosamonde E. Banks;Michael J. Dunn;Mary A. Forbes;Anthea Stanley

  • Guidelines for the next 10 years of proteomics

    Marc R. Wilkins;Ron D. Appel;Jennifer E. Van Eyk;Maxey C.M. Chung

  • Antivimentin antibodies are an independent predictor of transplant-associated coronary artery disease after cardiac transplantation.

    Stipo Jurcevic;Mark E. Ainsworth;Ariala Pomerance;John D. Smith

  • Proteomic analysis of the anterior cingulate cortex in the major psychiatric disorders: Evidence for disease‐associated changes

    Clare L. Beasley;Kyla Pennington;Aine Behan;Robin Wait

  • The role of bioinformatics in two-dimensional gel electrophoresis.

    Andrew W. Dowsey;Michael J. Dunn;Guang Zhong Yang

  • Anti-endothelial antibodies and coronary artery disease after cardiac transplantation

    M.J Dunn;S.J Crisp;M.L Rose;P.M Taylor

  • Hyperubiquitination of proteins in dilated cardiomyopathy.

    John Weekes;Karen Morrison;Anthony Mullen;Robin Wait

  • Prominent synaptic and metabolic abnormalities revealed by proteomic analysis of the dorsolateral prefrontal cortex in schizophrenia and bipolar disorder

    Kyla Pennington;C. L. Beasley;P. Dicker;A. Fagan

  • Proteomic analysis of membrane microdomain-associated proteins in the dorsolateral prefrontal cortex in schizophrenia and bipolar disorder reveals alterations in LAMP, STXBP1 and BASP1 protein expression.

    Át Behan;C Byrne;M J Dunn;G Cagney

  • Induction of mitogen-activated protein kinase phosphatase 1 by the stress-activated protein kinase signaling pathway but not by extracellular signal-regulated kinase in fibroblasts.

    Dirk Bokemeyer;Andrey Sorokin;Minhong Yan;Natalie G. Ahn

  • Proteome analysis: from protein characterization to biological function

    Stephen R. Pennington;Marc R. Wilkins;Denis F. Hochstrasser;Michael J. Dunn

  • Detection and Mapping of Widespread Intermolecular Protein Disulfide Formation during Cardiac Oxidative Stress Using Proteomics with Diagonal Electrophoresis

    Jonathan P. Brennan;Robin Wait;Shajna Begum;James R. Bell

  • Gel electrophoresis : proteins

    Michael J. Dunn

Frequent Co-Authors

Marlene L. Rose
Marlene L. Rose Imperial College London
Magdi H. Yacoub
Magdi H. Yacoub Imperial College London
Robin Wait
Robin Wait Imperial College London
Helmut E. Meyer
Helmut E. Meyer Ruhr University Bochum
Lennart Martens
Lennart Martens Ghent University
Jennifer E. Van Eyk
Jennifer E. Van Eyk Cedars-Sinai Medical Center
Guang-Zhong Yang
Guang-Zhong Yang Shanghai Jiao Tong University
Angelika Görg
Angelika Görg Technical University of Munich
Marc R. Wilkins
Marc R. Wilkins University of New South Wales

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