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Paul Pavlidis

D-Index & Metrics

Biology and Biochemistry

D-Index
77
Citations
20202
World Ranking
4806
National Ranking
169

Paul Pavlidis 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 Paul Pavlidis 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: 201 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Paul Pavlidis 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 Paul Pavlidis 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: 77 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Overview

Paul Pavlidis is affiliated with the University of British Columbia in Canada. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on various subfields including Molecular Biology, Genetics, Neurology, Biophysics, and Cancer Research.

Their scholarly output addresses a range of topics within these disciplines. Key areas of work include:

  • Single-cell and spatial transcriptomics
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Gene Regulatory Network Analysis
  • Neuroinflammation and Neurodegeneration Mechanisms
  • RNA and protein synthesis mechanisms
  • Gene expression and cancer classification

Paul Pavlidis has contributed publications to several venues with repeated appearances, indicating established research activity. Frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • European Neuropsychopharmacology
  • The American Journal of Human Genetics
  • Genome Research

Among the recent papers authored or co-authored by Paul Pavlidis are:

  • Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons, 2020, Nature Neuroscience
  • Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction, 2020, Nature Communications
  • Curation of over 10,000 transcriptomic studies to enable data reuse, 2021, Database
  • The Canadian Rare Diseases Models and Mechanisms (RDMM) Network: Connecting Understudied Genes to Model Organisms, 2020, The American Journal of Human Genetics
  • Untangling the effects of cellular composition on coexpression analysis, 2020, Genome Research

Collaboration is notable in Paul Pavlidis's work, with frequent co-authors including:

  • Sanja Rogić
  • Guillaume Poirier-Morency
  • Eric Ching-Pan Chu
  • Alexander M. Morin
  • Manuel Belmadani

Best Publications

  • Coexpression Analysis of Human Genes Across Many Microarray Data Sets

    Homin K. Lee;Amy K. Hsu;Jon Sajdak;Jie Qin

  • Molecular and Functional Heterogeneity of Hyperpolarization-Activated Pacemaker Channels in the Mouse CNS

    Bina Santoro;Shan Chen;Anita Lüthi;Paul Pavlidis

  • Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model

    Kimberly L. Stark;Bin Xu;Anindya Bagchi;Wen Sung Lai

  • Zac1 Regulates an Imprinted Gene Network Critically Involved in the Control of Embryonic Growth

    Annie Varrault;Charlotte Gueydan;Annie Delalbre;Anja Bellmann

  • Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons.

    Corina Nagy;Malosree Maitra;Arnaud Tanti;Matthew Suderman

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

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

  • Gene functional classification from heterogeneous data

    Paul Pavlidis;Jason Weston;Jinsong Cai;William Noble Grundy

  • Matrix2png: a utility for visualizing matrix data

    Paul Pavlidis;William Stafford Noble

  • De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability

    S E McCarthy;J Gillis;M Kramer;J Lihm

  • Analysis of strain and regional variation in gene expression in mouse brain

    Paul Pavlidis;William S Noble

  • miR-1202 is a primate-specific and brain-enriched microRNA involved in major depression and antidepressant treatment.

    Juan Pablo Lopez;Raymond Lim;Cristiana Cruceanu;Liam Crapper

  • Learning Gene Functional Classifications from Multiple Data Types

    Paul Pavlidis;Jason Weston;Jinsong Cai;William Stafford Noble

  • ErmineJ: Tool for functional analysis of gene expression data sets

    Homin K Lee;William Braynen;William Braynen;Kiran Keshav;Paul Pavlidis

  • Activation of MAPK pathways links LMNA mutations to cardiomyopathy in Emery-Dreifuss muscular dystrophy

    Antoine Muchir;Paul Pavlidis;Valérie Decostre;Alan J. Herron

  • Inducible enhancement of memory storage and synaptic plasticity in transgenic mice expressing an inhibitor of ATF4 (CREB-2) and C/EBP proteins.

    Amy Chen;Isabel A Muzzio;Gaël Malleret;Dusan Bartsch

  • Experimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms

    Michael Barnes;Johannes Freudenberg;Susan Thompson;Bruce Aronow

  • 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 Drosophila Easily Shocked Gene: A Mutation in a Phospholipid Synthetic Pathway Causes Seizure, Neuronal Failure, and Paralysis

    Paul Pavlidis;Mani Ramaswami;Mark A. Tanouye

  • Using the Gene Ontology for Microarray Data Mining: A Comparison of Methods and Application to Age Effects in Human Prefrontal Cortex

    Paul Pavlidis;Jie Qin;Victoria Arango;Victoria Arango;John J. Mann;John J. Mann

  • 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

Etienne Sibille
Etienne Sibille University of Toronto
William Stafford Noble
William Stafford Noble University of Washington
Panos N. Papapanou
Panos N. Papapanou Columbia University
Victoria Arango
Victoria Arango Columbia University
Christopher M. Overall
Christopher M. Overall University of British Columbia
Gustavo Turecki
Gustavo Turecki Douglas Mental Health University Institute
Catharine H. Rankin
Catharine H. Rankin University of British Columbia
Hanga Galfalvy
Hanga Galfalvy Columbia University
Christophe Dessimoz
Christophe Dessimoz University College London
Bruce J. Aronow
Bruce J. Aronow Cincinnati Children's Hospital Medical Center

External Links

Personal website of Paul Pavlidis Google Scholar page

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Best Scientists Citing Paul Pavlidis

Etienne Sibille

Etienne Sibille

University of Toronto

Publications: 57

Gustavo Turecki

Gustavo Turecki

Douglas Mental Health University Institute

Publications: 55

Kristina M. Miller

Kristina M. Miller

Fisheries and Oceans Canada

Publications: 40

Scott G. Hinch

Scott G. Hinch

University of British Columbia

Publications: 39

Christopher M. Overall

Christopher M. Overall

University of British Columbia

Publications: 35

Howard J. Worman

Howard J. Worman

Columbia University

Publications: 35

David A. Patterson

David A. Patterson

Fisheries and Oceans Canada

Publications: 35

Giorgio Valentini

Giorgio Valentini

University of Milan

Publications: 33

Steven J. Cooke

Steven J. Cooke

Carleton University

Publications: 31

David A. Lewis

David A. Lewis

University of Pittsburgh

Publications: 30

Tomáš Paus

Tomáš Paus

University of Toronto

Publications: 29

Anne S. Bassett

Anne S. Bassett

University of Toronto

Publications: 27

Cristina R. Antonescu

Cristina R. Antonescu

Memorial Sloan Kettering Cancer Center

Publications: 26

Gisèle Bonne

Gisèle Bonne

Sorbonne University

Publications: 25

Daniel H. Geschwind

Daniel H. Geschwind

University of California, Los Angeles

Publications: 24

Carrie E. Bearden

Carrie E. Bearden

University of California, Los Angeles

Publications: 24

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