World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
69
Citations
22807
World Ranking
2321
National Ranking
1047

William J. Pavan publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where William J. Pavan sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 171 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

William J. Pavan D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where William J. Pavan sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 69 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

William J. Pavan mostly deals with Genetics, Melanocyte, Cell biology, SOX10 and Neural crest. His works in Gene, Transcription factor, Genome, Transcriptome and Melanoma are all subjects of inquiry into Genetics. In his research on the topic of Melanocyte, Transactivation, PAX3 and Melanoblast is strongly related with Microphthalmia-associated transcription factor.

His work deals with themes such as Neurocristopathy and Genetic variation, which intersect with SOX10. His Neural crest research focuses on subjects like Regulation of gene expression, which are linked to Dopachrome tautomerase, Signal transduction and Genetically modified mouse. His Genomics research is multidisciplinary, incorporating elements of Polyadenylation, Transcription and Transcriptional regulation.

His most cited work include:

  • The Transcriptional Landscape of the Mammalian Genome (2876 citations)
  • Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs (1378 citations)
  • Niemann-Pick C1 Disease Gene: Homology to Mediators of Cholesterol Homeostasis (1205 citations)

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

The scientist’s investigation covers issues in Genetics, Neural crest, SOX10, Molecular biology and Cell biology. His is involved in several facets of Genetics study, as is seen by his studies on Gene, Melanocyte, Regulation of gene expression, Allele and Mutation. In general Neural crest study, his work on Melanoblast often relates to the realm of Endothelin 3, thereby connecting several areas of interest.

He combines subjects such as Enhancer, Cancer research and Microphthalmia-associated transcription factor with his study of SOX10. His research in Molecular biology intersects with topics in Positional cloning, Gene expression, Transgene, Yeast artificial chromosome and Candidate gene. He interconnects Endocrinology, Internal medicine and Cellular differentiation in the investigation of issues within Cell biology.

He most often published in these fields:

  • Genetics (45.88%)
  • Neural crest (21.18%)
  • SOX10 (20.59%)

What were the highlights of his more recent work (between 2013-2021)?

  • Genetics (45.88%)
  • Disease (8.82%)
  • Immunology (11.18%)

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

William J. Pavan spends much of his time researching Genetics, Disease, Immunology, Melanoma and Melanocyte. The Genetics study combines topics in areas such as Genome-wide association study and Genetic association. His study on Melanoma also encompasses disciplines like

  • Linkage disequilibrium and SNP most often made with reference to Expression quantitative trait loci,
  • microRNA together with Cell cycle, Transcriptome and Computational biology.

His Melanocyte study combines topics in areas such as Phenotype and Neural crest. He has included themes like Chromatin, Regulation of gene expression, Transcription factor and Cell biology in his Epigenetics study. His Regulation of gene expression research integrates issues from Microphthalmia-associated transcription factor, Cellular differentiation and SOX10.

Between 2013 and 2021, his most popular works were:

  • Loci associated with skin pigmentation identified in African populations (159 citations)
  • Glial-cell-derived neuroregulators control type 3 innate lymphoid cells and gut defence (150 citations)
  • Intrathecal 2-hydroxypropyl-β-cyclodextrin decreases neurological disease progression in Niemann-Pick disease, type C1: a non-randomised, open-label, phase 1–2 trial (146 citations)

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

  • Gene
  • DNA
  • Genetics

His main research concerns Melanocyte, Genetics, Genome-wide association study, Gene and Cell biology. His Melanocyte research includes elements of TFAP2A, Zebrafish and Neural crest. His Genome-wide association study research is multidisciplinary, relying on both OCA2, SLC24A5, Genetic association, Dark skin and Human skin.

His Allele and Fixation study are his primary interests in Gene. His research investigates the connection between Cell biology and topics such as Cell type that intersect with issues in Catenin and Signal transduction. His studies in Cancer research integrate themes in fields like Microphthalmia-associated transcription factor and SOX10.

Best Publications

  • The Transcriptional Landscape of the Mammalian Genome

    P. Carninci;T. Kasukawa;S. Katayama;J. Gough

  • Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

    Y. Okazaki;M. Furuno;T. Kasukawa;J. Adachi

  • Niemann-Pick C1 disease gene: homology to mediators of cholesterol homeostasis.

    Eugene D. Carstea;Jill A. Morris;Katherine G. Coleman;Stacie K. Loftus

  • Murine model of Niemann-Pick C disease: mutation in a cholesterol homeostasis gene.

    Stacie K. Loftus;Jill A. Morris;Eugene D. Carstea;Jessie Z. Gu

  • Sox10 mutation disrupts neural crest development in Dom Hirschsprung mouse model.

    E M Southard-Smith;L Kos;W J Pavan

  • Transcription factor hierarchy in Waardenburg syndrome: regulation of MITF expression by SOX10 and PAX3.

    S. Brian Potterf;Minao Furumura;Karen J. Dunn;Heinz Arnheiter

  • cDNA Microarrays Detect Activation of a Myogenic Transcription Program by the PAX3-FKHR Fusion Oncogene

    Javed Khan;Michael L. Bittner;Lao H. Saal;Ulrike Teichmann

  • Melanocyte development in vivo and in neural crest cell cultures: crucial dependence on the Mitf basic-helix-loop-helix-zipper transcription factor.

    Karin Opdecamp;Atsuo Nakayama;Minh-Thanh T. Nguyen;Colin A. Hodgkinson

  • Melanoma mouse model implicates metabotropic glutamate signaling in melanocytic neoplasia

    Pamela M. Pollock;Karine Cohen-Solal;Raman Sood;Jin Namkoong

  • Glial-cell-derived neuroregulators control type 3 innate lymphoid cells and gut defence

    Sales Ibiza;Bethania García-Cassani;Hélder Ribeiro;Tânia Carvalho

  • Intrathecal 2-hydroxypropyl-β-cyclodextrin decreases neurological disease progression in Niemann-Pick disease, type C1: a non-randomised, open-label, phase 1–2 trial

    Daniel S Ory;Elizabeth A Ottinger;Nicole Yanjanin Farhat;Kelly A King

  • Loci associated with skin pigmentation identified in African populations

    Nicholas G. Crawford;Derek E. Kelly;Matthew E. B. Hansen;Marcia H. Beltrame

  • The melanomas: a synthesis of epidemiological, clinical, histopathological, genetic, and biological aspects, supporting distinct subtypes, causal pathways, and cells of origin.

    David C. Whiteman;William J. Pavan;Boris C. Bastian

  • The importance of having your SOX on: role of SOX10 † in the development of neural crest-derived melanocytes and glia

    Ramin Mollaaghababa;William J Pavan

  • Strategic vision for improving human health at The Forefront of Genomics.

    Eric D. Green;Chris Gunter;Leslie G. Biesecker;Valentina Di Francesco

  • Transcriptional and signaling regulation in neural crest stem cell-derived melanocyte development: do all roads lead to Mitf?

    Ling Hou;William J Pavan

  • A Polymorphism in IRF4 Affects Human Pigmentation through a Tyrosinase-Dependent MITF/TFAP2A Pathway

    Christian Praetorius;Christine Grill;Simon N. Stacey;Alexander M. Metcalf

  • Targeting a Complex Transcriptome: The Construction of the Mouse Full-Length cDNA Encyclopedia

    Piero Carninci;Kazunori Waki;Toshiyuki Shiraki;Hideaki Konno

  • Neural crest-directed gene transfer demonstrates Wnt1 role in melanocyte expansion and differentiation during mouse development.

    Karen J. Dunn;Bart O. Williams;Yi Li;William J. Pavan

  • Linear Clinical Progression, Independent of Age of Onset, in Niemann-Pick Disease, type C

    Nicole M. Yanjanin;Jorge I. Vélez;Andrea Gropman;Kelly King;Kelly King

Frequent Co-Authors

Forbes D. Porter
Forbes D. Porter National Institutes of Health
Roger H. Reeves
Roger H. Reeves Johns Hopkins University School of Medicine
Paul S. Meltzer
Paul S. Meltzer National Institutes of Health
Daniel S. Ory
Daniel S. Ory Washington University in St. Louis
Eric D. Green
Eric D. Green National Institutes of Health
Steven U. Walkley
Steven U. Walkley Albert Einstein College of Medicine
Heinz Arnheiter
Heinz Arnheiter National Institutes of Health
Philip Hieter
Philip Hieter University of British Columbia
Jeffrey M. Trent
Jeffrey M. Trent Translational Genomics Research Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Genetics can open doors to rewarding careers in healthcare, research, and education. For those interested in clinical applications, pairing a background in genetics with a nursing degree is a popular route. Many choose to pursue advanced practice roles through the cheapest online nurse practitioner programs, which combine affordability with flexible online learning.

If you're just starting out or aiming to advance in healthcare, exploring the most affordable nursing programs can provide a solid foundation. Those seeking leadership or specialized clinical positions may consider enrolling in cheap dnp online programs to earn a Doctor of Nursing Practice degree.

Additionally, for registered nurses aiming to boost their credentials, understanding the average cost of rn to bsn programs is essential. Related online degrees and pathways ensure flexibility and accessibility, helping you move forward in a genetics-focused healthcare career.

Best Scientists Citing William J. Pavan

Trending Scientists

Recently Published Articles