World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
40
Citations
25357
World Ranking
3065
National Ranking
79

Oliver Hofmann publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Oliver Hofmann sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 117 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Oliver Hofmann D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Oliver Hofmann sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 40 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Oliver Hofmann is affiliated with the University of Melbourne in Australia and has contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology, and Medicine.

Their research spans several subfields, including Molecular Biology, Cancer Research, Oncology, Genetics, and Pathology and Forensic Medicine. The main topics of their work focus on Cancer Genomics and Diagnostics, Genomics and Rare Diseases, Pancreatic and Hepatic Oncology Research, Epigenetics and DNA Methylation, Alzheimer's disease research and treatments, Cancer Diagnosis and Treatment, and Acute Lymphoblastic Leukemia research.

Oliver Hofmann has published frequently in prominent venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature Biotechnology, The American Journal of Human Genetics, Bioinformatics, and Nature Communications.

Frequent co-authors in their publications include:

  • Sean M. Grimmond
  • Stephen B. Fox
  • Joseph H.A. Vissers
  • Richard W. Tothill
  • Catherine Mitchell

Among their recent papers are:

  • GA4GH: International policies and standards for data sharing across genomic research and healthcare (2021, Cell Genomics)
  • Whole-genome sequencing reveals new Alzheimer's disease-associated rare variants in loci related to synaptic function and neuronal development (2021, Alzheimer's & Dementia)
  • A first-in-class pan-lysyl oxidase inhibitor impairs stromal remodeling and enhances gemcitabine response and survival in pancreatic cancer (2023, Nature Cancer)
  • Scaling national and international improvement in virtual gene panel curation via a collaborative approach to discordance resolution (2021, The American Journal of Human Genetics)
  • Australian Genomics: Outcomes of a 5-year national program to accelerate the integration of genomics in healthcare (2023, The American Journal of Human Genetics)

Best Publications

  • Genomic analyses identify molecular subtypes of pancreatic cancer

    Bailey P;Chang Dk;Nones K;Nones K;Johns Al

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris

  • A promoter-level mammalian expression atlas

    Alistair R.R. Forrest;Hideya Kawaji;Michael Rehli;J. Kenneth Baillie

  • Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

    Vinod P. Balachandran;Marta Łuksza;Julia N. Zhao;Vladimir Makarov

  • Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity

    Suneng Fu;Ling Yang;Ping Li;Oliver Hofmann

  • Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls

    Justin M Zook;Brad Alan Chapman;Jason Wang;David Mittelman

  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

    Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama

  • Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome

    Justin M. Zook;Brad Chapman;Jason Wang;David Mittelman

  • Clonal dynamics of native haematopoiesis

    Jianlong Sun;Azucena Ramos;Brad Chapman;Jonathan B. Johnnidis

  • VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research

    Zhongwu Lai;Aleksandra Markovets;Miika Ahdesmaki;Brad Chapman

  • miR-24 Inhibits Cell Proliferation by Targeting E2F2, MYC, and Other Cell-Cycle Genes via Binding to “Seedless” 3′UTR MicroRNA Recognition Elements

    Ashish Lal;Francisco Navarro;Christopher A. Maher;Laura E. Maliszewski

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

  • The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

    Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub

  • Copy number signatures and mutational processes in ovarian carcinoma

    Geoff Macintyre;Teodora E. Goranova;Dilrini De Silva;Darren Ennis

  • Genome-wide analysis of cancer/testis gene expression

    Oliver Hofmann;Oliver Hofmann;Otavia L. Caballero;Brian J. Stevenson;Brian J. Stevenson;Yao Tseng Chen

  • ISA software suite

    Philippe Rocca-Serra;Marco Brandizi;Eamonn Maguire;Eamonn Maguire;Nataliya Sklyar

  • Capture of MicroRNA–Bound mRNAs Identifies the Tumor Suppressor miR-34a as a Regulator of Growth Factor Signaling

    Ashish Lal;Marshall P. Thomas;Marshall P. Thomas;Gabriel Altschuler;Francisco Navarro;Francisco Navarro

  • BRENDA: a resource for enzyme data and metabolic information

    Ida Schomburg;Antje Chang;Oliver Hofmann;Christian Ebeling

Frequent Co-Authors

Winston Hide
Winston Hide Harvard Medical School
Sean M. Grimmond
Sean M. Grimmond University of Melbourne
Igor Rudan
Igor Rudan University of Edinburgh
Jesper Tegnér
Jesper Tegnér King Abdullah University of Science and Technology
Benjamin F. Voight
Benjamin F. Voight University of Pennsylvania
Vladimir B. Bajic
Vladimir B. Bajic King Abdullah University of Science and Technology
Soumya Raychaudhuri
Soumya Raychaudhuri Brigham and Women's Hospital
Ola Myklebost
Ola Myklebost University of Bergen

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