D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Genetics and Molecular Biology D-index 70 Citations 29,780 221 World Ranking 1474 National Ranking 171

Research.com Recognitions

Awards & Achievements

2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

His primary areas of study are Genetics, Saccharomyces cerevisiae, Yeast, Gene and Genome. Many of his studies on Genetics involve topics that are commonly interrelated, such as Computational biology. His work carried out in the field of Saccharomyces cerevisiae brings together such families of science as Genetic marker, Systems biology and Robustness.

Stephen G. Oliver interconnects Metabolite, Chromatography and Chemostat in the investigation of issues within Yeast. His Genome study integrates concerns from other disciplines, such as Saccharomyces, Sequence analysis and DNA sequencing. His biological study spans a wide range of topics, including Genetic redundancy and Intron.

His most cited work include:

  • Life with 6000 Genes (3567 citations)
  • Comparative assessment of large-scale data sets of protein-protein interactions. (2057 citations)
  • The Gene Ontology Resource: 20 years and still GOing strong (1527 citations)

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

His scientific interests lie mostly in Genetics, Saccharomyces cerevisiae, Yeast, Gene and Biochemistry. In his research on the topic of Genetics, Functional genomics is strongly related with Computational biology. His Saccharomyces cerevisiae research integrates issues from Plasmid, Proteome, Mutant, Molecular biology and Cell biology.

The study incorporates disciplines such as Mutation, Chemostat and Microbiology in addition to Mutant. His Yeast research is multidisciplinary, relying on both Ethanol, Fermentation and Metabolic network. In most of his Genome studies, his work intersects topics such as DNA sequencing.

He most often published in these fields:

  • Genetics (35.32%)
  • Saccharomyces cerevisiae (37.09%)
  • Yeast (33.55%)

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

  • Yeast (33.55%)
  • Saccharomyces cerevisiae (37.09%)
  • Computational biology (18.54%)

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

Stephen G. Oliver mostly deals with Yeast, Saccharomyces cerevisiae, Computational biology, Biochemistry and Gene. DNA sequencing, Gene ontology and Budding yeast is closely connected to Model organism in his research, which is encompassed under the umbrella topic of Yeast. He has included themes like Transcriptional regulation, Cell fractionation, Kinase, Cell biology and Metabolism in his Saccharomyces cerevisiae study.

His study in Computational biology is interdisciplinary in nature, drawing from both Proteome and Biotechnology. His Gene study is concerned with the larger field of Genetics. His Metabolome study integrates concerns from other disciplines, such as Transcriptome, Fungal protein and Major facilitator superfamily.

Between 2013 and 2021, his most popular works were:

  • The Gene Ontology Resource: 20 years and still GOing strong (1527 citations)
  • Estimating the total number of phosphoproteins and phosphorylation sites in eukaryotic proteomes. (412 citations)
  • Membrane transporter engineering in industrial biotechnology and whole cell biocatalysis (106 citations)

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

  • Gene
  • Enzyme
  • DNA

Stephen G. Oliver mainly focuses on Computational biology, Yeast, Saccharomyces cerevisiae, Model organism and Biotechnology. His biological study spans a wide range of topics, including Proteome, Precision medicine, Annotation, Functional genomics and Molecular Sequence Annotation. Many of his studies involve connections with topics such as Flux and Yeast.

His study deals with a combination of Saccharomyces cerevisiae and Prediction methods. His Model organism study combines topics in areas such as Biological database, Sustainability, Genome database and Proteasome. His Biotechnology research includes elements of Flux balance analysis, Nutrient, Mutant and Metabolic network.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Life with 6000 Genes

André Goffeau;B G Barrell;H Bussey;R W Davis.
Science (1996)

5220 Citations

The Gene Ontology Resource: 20 years and still GOing strong

S. Carbon;E. Douglass;N. Dunn;B. Good.
Nucleic Acids Research (2019)

3753 Citations

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

Christian von Mering;Roland Krause;Berend Snel;Michael Cornell.
Nature (2002)

2818 Citations

Systematic functional analysis of the yeast genome

Stephen G. Oliver;Michael K. Winson;Douglas B. Kell;Frank Baganz.
Trends in Biotechnology (1998)

1422 Citations

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

Léonie M. Raamsdonk;Bas Teusink;David Broadhurst;Nianshu Zhang.
Nature Biotechnology (2001)

1230 Citations

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.
Nature Biotechnology (2007)

1186 Citations

The complete DNA sequence of yeast chromosome III.

S. G. Oliver;Q. J. M. van der Aart;M. L. Agostoni-Carbone;M. Aigle.
Nature (1992)

1007 Citations

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.
Nature Biotechnology (2004)

923 Citations

Overview of the yeast genome

H W Mewes;K. Albermann;Manuel Bahr;D Frishman.
Nature (1997)

787 Citations

Functional genomic hypothesis generation and experimentation by a robot scientist

Ross D. King;Kenneth E. Whelan;Ffion M. Jones;Philip G. K. Reiser.
Nature (2004)

700 Citations

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