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Biology and Biochemistry

D-Index
53
Citations
12619
World Ranking
16016
National Ranking
1265

Overview

Simon J. Hubbard is affiliated with the Manchester Academic Health Science Centre in the United Kingdom. Their research focuses primarily on the field of Biochemistry, Genetics and Molecular Biology, with a particular concentration on Molecular Biology among other subfields such as Spectroscopy, Plant Science, Physiology, and Cell Biology.

The scientist's main topics of work include areas related to RNA and protein synthesis mechanisms, RNA research and splicing, and RNA modifications and cancer. Their research also extends to microbial metabolic engineering and bioproduction, fungal and yeast genetics research, advanced proteomics techniques and applications, as well as bioinformatics and genomic networks.

Simon J. Hubbard has published several papers in various venues. Recent publications include:

  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution, 2021, Kent Academic Repository (University of Kent)
  • Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies, 2022, Nature Communications
  • Core Fermentation (CoFe) granules focus coordinated glycolytic mRNA localization and translation to fuel glucose fermentation, 2021, iScience
  • MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease, 2022, The American Journal of Human Genetics
  • Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas, 2022, Scientific Data

Frequent co-authors in their body of work include:

  • Mark Ashe
  • Chris M. Grant
  • Michael G. Nelson
  • Robert J. Beynon
  • Manuel Garcia-Albornoz

Simon J. Hubbard has contributed papers predominantly to venues such as bioRxiv (Cold Spring Harbor Laboratory), Journal of Proteome Research, Zenodo (CERN European Organization for Nuclear Research), Kent Academic Repository (University of Kent), and Nature Communications.

Best Publications

  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

    Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren

  • A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms

    Gane Ka Shu Wong;Gane Ka Shu Wong;Gane Ka Shu Wong;Bin Liu;Jun Wang;Jun Wang;Yong Zhang;Yong Zhang

  • The structural aspects of limited proteolysis of native proteins

    Simon J Hubbard

  • Global Translational Responses to Oxidative Stress Impact upon Multiple Levels of Protein Synthesis

    Daniel Shenton;Julia B. Smirnova;Julian N. Selley;Kathleen Carroll

  • Molecular recognition. Conformational analysis of limited proteolytic sites and serine proteinase protein inhibitors.

    Hubbard Sj;Campbell Sf;Thornton Jm

  • A Comprehensive Collection of Chicken cDNAs

    Paul E Boardman;Juan Sanz-Ezquerro;Ian M Overton;David W Burt

  • A systematic approach to modeling, capturing, and disseminating proteomics experimental data.

    Chris F. Taylor;Norman W. Paton;Kevin L. Garwood;Paul D. Kirby

  • Modeling studies of the change in conformation required for cleavage of limited proteolytic sites.

    S. J. Hubbard;F. Eisenmenger;J. M. Thornton

  • Intramolecular cavities in globular proteins

    Simon J. Hubbard;Kalr Heinz Gross;Patrick Argos

  • The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

    Andrew R. Jones;Martin Eisenacher;Gerhard Mayer;Oliver Kohlbacher

  • Comparative Genome Analysis of Filamentous Fungi Reveals Gene Family Expansions Associated with Fungal Pathogenesis

    Darren M. Soanes;Intikhab Alam;Mike Cornell;Han Min Wong

  • The chicken as a model for large-scale analysis of vertebrate gene function

    William R. A. Brown;Simon J. Hubbard;Cheryll Tickle;Stuart A. Wilson

  • Prediction of Missed Cleavage Sites in Tryptic Peptides Aids Protein Identification in Proteomics

    Jennifer A. Siepen;Emma Jayne Keevil;David Knight;Simon J. Hubbard

  • Differential Expression of Ion Channel Transcripts in Atrial Muscle and Sinoatrial Node in Rabbit

    James O. Tellez;Halina Dobrzynski;Ian D. Greener;Gillian M. Graham

  • Cavities and packing at protein interfaces.

    Simon J. Hubbard;Patrick Argos

  • BioMart Central Portal: an open database network for the biological community

    Jonathan M. Guberman;J. Ai;O. Arnaiz;Joachim Baran

  • Conceptual modelling of genomic information.

    Norman W. Paton;Shakeel A. Khan;Andrew Hayes;Fouzia Moussouni

  • Data access and integration in the ISPIDER proteomics grid

    Lucas Zamboulis;Hao Fan;Khalid Belhajjame;Jennifer Siepen

  • Assessment of conformational parameters as predictors of limited proteolytic sites in native protein structures

    S J Hubbard;R J Beynon;J M Thornton

  • CONSeQuence: Prediction of Reference Peptides for Absolute Quantitative Proteomics Using Consensus Machine Learning Approaches

    Claire E. Eyers;Craig Lawless;David C. Wedge;King Wai Lau

Frequent Co-Authors

Robert J. Beynon
Robert J. Beynon University of Liverpool
Simon J. Gaskell
Simon J. Gaskell Plymouth University
Stephen G. Oliver
Stephen G. Oliver University of Cambridge
Chris M. Grant
Chris M. Grant University of Manchester
Andrew R. Jones
Andrew R. Jones University of Liverpool
Norman W. Paton
Norman W. Paton University of Manchester
Graham D. Pavitt
Graham D. Pavitt University of Manchester
Paul F. G. Sims
Paul F. G. Sims University of Manchester
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Patrick Argos
Patrick Argos Purdue University West Lafayette

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