World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
47
Citations
11167
World Ranking
18599
National Ranking
1453

Duncan Davidson 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 Duncan Davidson 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Duncan Davidson 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 Duncan Davidson 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: 47 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Duncan Davidson is a researcher primarily affiliated with the University of Edinburgh in the United Kingdom. Their research contributions span multiple areas within the broad fields of biochemistry, genetics, and molecular biology, with a focus on developmental biology, gene regulation, and related biomedical topics.

Their recent scholarly output includes publications on the analysis of gene expression in complex biological pathways. Notably, their works address the Wnt signalling system, an essential cellular communication mechanism involved in development and disease. Key papers authored or coauthored by Davidson include: Integrated analysis of Wnt signalling system component gene expression (2022, Development), WlzWarp: An Open-Source Tool for Complex Alignment of Spatial Data (2022, bioRxiv, Cold Spring Harbor Laboratory), Integrated analysis of Wnt signalling system component gene expression (2022, bioRxiv, Cold Spring Harbor Laboratory), Wnt Pathway Analysis mapped gene-expression data (2021, University of Edinburgh), and Wnt Pathway Analysis mapped gene-expression point-cloud data (2021, University of Edinburgh).

Davidson's work frequently intersects with advanced computational and spatial analysis methodologies, as illustrated by contributions in robotics, sensor-based localization, and medical image segmentation techniques. Their research incorporates single-cell and spatial transcriptomics approaches, reflecting a multidisciplinary blending of molecular biology with computational tools.

Research topics addressed in their publications include:

  • Developmental Biology and Gene Regulation
  • Congenital Heart Defects Research
  • Epigenetics and DNA Methylation
  • Robotics and Sensor-Based Localization
  • Single-cell and Spatial Transcriptomics
  • Medical Image Segmentation Techniques

The subfields contributing to their scholarly profile include molecular biology predominantly, alongside aerospace engineering and computer vision and pattern recognition, indicating a broad technological and biological expertise.

Frequent coauthors collaborating with Davidson include Paula Murphy, Chris Armit, Bill Hill, Richard Baldock, and Patrick Frankel. These partnerships suggest a collaborative research environment linking molecular biology with computational and spatial data analysis.

The venues commonly publishing Davidson's work are bioRxiv at Cold Spring Harbor Laboratory, University of Edinburgh archival publications, and the journal Development.

Best Publications

  • Optical Projection Tomography as a Tool for 3D Microscopy and Gene Expression Studies

    James Sharpe;Ulf Ahlgren;Paul Perry;Bill Hill

  • The candidate Wilms' tumour gene is involved in genitourinary development

    Kathryn Pritchard-Jones;Stewart Fleming;Duncan Davidson;Wendy Bickmore

  • The role of Pax-6 in eye and nasal development

    Justin C. Grindley;Duncan R. Davidson;Robert E. Hill

  • A high-resolution anatomical atlas of the transcriptome in the mouse embryo.

    Graciana Diez-Roux;Sandro Banfi;Marc Sultan;Lars Geffers

  • The function and evolution of Msx genes: pointers and paradoxes

    Duncan Davidson

  • A new family of mouse homeo box-containing genes: molecular structure, chromosomal location, and developmental expression of Hox-7.1.

    R. E. Hill;P. F. Jones;A. R. Rees;C. M. Sime

  • Central roles of alpha5beta1 integrin and fibronectin in vascular development in mouse embryos and embryoid bodies

    Sheila E. Francis;Keow Lin Goh;Kairbaan Hodivala-Dilke;Bernhard L. Bader

  • Using ontologies to describe mouse phenotypes

    Georgios V Gkoutos;Eain C J Green;Ann-Marie Mallon;John M Hancock

  • The Msh-like homeobox genes define domains in the developing vertebrate eye.

    A.P. Monaghan;D.R. Davidson;C. Sime;E. Graham

  • GUDMAP: The Genitourinary Developmental Molecular Anatomy Project

    Andrew P. McMahon;Bruce J. Aronow;Duncan R. Davidson;Jamie A. Davies

  • Defects of neuronal migration and the pathogenesis of cortical malformations are associated with Small eye (Sey) in the mouse, a point mutation at the Pax-6-locus

    Wolfgang Schmahl;Monika Knoedlseder;Jack Favor;Duncan Davidson

  • Position-dependent expression of two related homeobox genes in developing vertebrate limbs

    D. R. Davidson;A. Crawley;R. E. Hill;C. Tickle

  • The GUDMAP database – an online resource for genitourinary research

    Simon D. Harding;Chris Armit;Jane Armstrong;Jane Brennan

  • Segment-specific expression of a homoeobox-containing gene in the mouse hindbrain

    Paula Murphy;Duncan R. Davidson;Robert E. Hill

  • Complementary tissue-specific expression of LIF and LIF-receptor mRNAs in early mouse embryogenesis.

    Jennifer Nichols;Duncan Davidson;Tetsuya Taga;Kanji Yoshida

  • A gene with sequence similarity to Drosophila engrailed is expressed during the development of the neural tube and vertebrae in the mouse

    D. Davidson;E. Graham;C. Sime;R. Hill

  • EMAP and EMAGE: a framework for understanding spatially organized data.

    Richard A. Baldock;Jonathan Bard;Jonathan Bard;Albert Burger;Nicholas Burton

  • An internet-accessible database of mouse developmental anatomy based on a systematic nomenclature

    Jonathan B L Bard;Matthew H Kaufman;Christophe Dubreuil;Renske M Brune

  • A high-resolution anatomical ontology of the developing murine genitourinary tract

    Melissa H. Little;Jane Brennan;Kylie Georgas;Jamie A. Davies

  • A database for mouse development

    Martin Ringwald;Richard Baldock;Jonathan Bard;Matthew Kaufman

Frequent Co-Authors

Robert E. Hill
Robert E. Hill University of Edinburgh
James Sharpe
James Sharpe European Bioinformatics Institute
Jamie A. Davies
Jamie A. Davies University of Edinburgh
Melissa H. Little
Melissa H. Little Murdoch Children's Research Institute
Helen Parkinson
Helen Parkinson European Bioinformatics Institute
Bruce J. Aronow
Bruce J. Aronow Cincinnati Children's Hospital Medical Center
Cathy Mendelsohn
Cathy Mendelsohn Columbia University
John M. Hancock
John M. Hancock Norwich University
Christian J. Stoeckert
Christian J. Stoeckert University of Pennsylvania
Georgios V. Gkoutos
Georgios V. Gkoutos University of Birmingham

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