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Genetics
UK
2024

D-Index & Metrics

Genetics

D-Index
95
Citations
55856
World Ranking
880
National Ranking
124

Molecular Biology

D-Index
95
Citations
55856
World Ranking
621
National Ranking
52

Stephen G. Oliver 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 Stephen G. Oliver 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: 419 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Stephen G. Oliver 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 Stephen G. Oliver 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: 95 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2024 - Research.com Genetics in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Stephen G. Oliver is affiliated with the University of Cambridge in the United Kingdom. Their research primarily falls within the broad field of Biochemistry, Genetics and Molecular Biology, with a focus on several specialized subfields including Molecular Biology, Infectious Diseases, Plant Science, Animal Science and Zoology, and Pharmacology.

The scientist's work covers a variety of main research topics such as Microbial Metabolic Engineering and Bioproduction, Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis, Genomics and Phylogenetic Studies, SARS-CoV-2 and COVID-19 Research, Biomedical Text Mining and Ontologies, and Gene expression and cancer classification.

Stephen G. Oliver has contributed to a number of scholarly articles, with recent papers including:

  • The Gene Ontology resource: enriching a GOld mine (2020, Nucleic Acids Research)
  • Fission stories: using PomBase to understand Schizosaccharomyces pombe biology (2022, OPAL (Open@LaTrobe) (La Trobe University))
  • The Remarkable Evolutionary Plasticity of Coronaviruses by Mutation and Recombination: Insights for the COVID-19 Pandemic and the Future Evolutionary Paths of SARS-CoV-2 (2022, Viruses)
  • Comparative Analysis of SARS-CoV-2 Variants of Concern, Including Omicron, Highlights Their Common and Distinctive Amino Acid Substitution Patterns, Especially at the Spike ORF (2022, Viruses)
  • Fission stories: Using PomBase to understand Schizosaccharomyces pombe biology (2021, bioRxiv (Cold Spring Harbor Laboratory))

Frequent collaborators include:

  • Grigoris D. Amoutzias
  • Marios Nikolaidis
  • Jorge Júlvez
  • Andrew Hesketh
  • Giorgio Jansen

The researcher publishes regularly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Viruses
  • IEEE Power Electronics Magazine
  • Nucleic Acids Research

Stephen G. Oliver has received recognition in the form of the Fellow of the American Association for the Advancement of Science (AAAS) award in 2008.

Best Publications

  • Life with 6000 Genes

    André Goffeau;B G Barrell;H Bussey;R W Davis

  • The Gene Ontology Resource: 20 years and still GOing strong

    S. Carbon;E. Douglass;N. Dunn;B. Good

  • The Gene Ontology resource: enriching a GOld mine

    Seth Carbon;Eric Douglass;Benjamin M Good

  • Comparative assessment of large-scale data sets of protein-protein interactions.

    Christian von Mering;Roland Krause;Berend Snel;Michael Cornell

  • Systematic functional analysis of the yeast genome

    Stephen G. Oliver;Michael K. Winson;Douglas B. Kell;Frank Baganz

  • Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88

    Herman J. Pel;Johannes H. De Winde;Johannes H. De Winde;David B. Archer;Paul S. Dyer

  • A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations

    Léonie M. Raamsdonk;Bas Teusink;David Broadhurst;Nianshu Zhang

  • The complete DNA sequence of yeast chromosome III.

    S. G. Oliver;Q. J. M. van der Aart;M. L. Agostoni-Carbone;M. Aigle

  • A common open representation of mass spectrometry data and its application to proteomics research

    Patrick G A Pedrioli;Jimmy K Eng;Robert Hubley;Mathijs Vogelzang

  • Functional genomic hypothesis generation and experimentation by a robot scientist

    Ross D. King;Kenneth E. Whelan;Ffion M. Jones;Philip G. K. Reiser

  • Overview of the yeast genome

    H W Mewes;K. Albermann;Manuel Bahr;D Frishman

  • Mapping Pathways and Phenotypes by Systematic Gene Overexpression

    Richelle Sopko;Dongqing Huang;Nicolle Preston;Gordon Chua

  • The Automation of Science

    Ross Donald King;Jeremy John Rowland;Jeremy John Rowland;Stephen G. Oliver;Stephen G. Oliver;Michael Young

  • Gene ontology annotations and resources

    Blake Ja;Dolan M;Drabkin H

  • A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology

    Markus Herrgard;Neil Swainston;Paul Dobson;Warwick B. Dunn

  • Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era

    Douglas B. Kell;Stephen G. Oliver

  • High-throughput classification of yeast mutants for functional genomics using metabolic footprinting

    Jess Allen;Hazel Marie Davey;David Iain Broadhurst;Jim K. Heald

  • Guilt-by-association goes global

    Stephen Oliver

  • Estimating the total number of phosphoproteins and phosphorylation sites in eukaryotic proteomes.

    Panayotis Vlastaridis;Pelagia Kyriakidou;Anargyros Chaliotis;Yves Van de Peer;Yves Van de Peer

  • METABOLIC FOOTPRINTING AND SYSTEMS BIOLOGY: THE MEDIUM IS THE MESSAGE

    Douglas B. Kell;Marie Brown;Hazel M. Davey;Warwick B. Dunn

Frequent Co-Authors

Douglas B. Kell
Douglas B. Kell University of Liverpool
Norman W. Paton
Norman W. Paton University of Manchester
Simon J. Hubbard
Simon J. Hubbard Manchester Academic Health Science Centre
Simon J. Gaskell
Simon J. Gaskell Plymouth University
Ross D. King
Ross D. King University of Manchester
Geoffrey D. Robson
Geoffrey D. Robson University of Manchester
Warwick B. Dunn
Warwick B. Dunn University of Liverpool
Kathryn S. Lilley
Kathryn S. Lilley University of Cambridge
Magnus Rattray
Magnus Rattray University of Manchester
Balázs Papp
Balázs Papp Biological Research Centre

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