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D-Index & Metrics

Genetics

D-Index
82
Citations
100391
World Ranking
1434
National Ranking
24

Overview

Mark D. Robinson is affiliated with the University of Zurich in Switzerland. Their research work primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with 226 publications contributing to this domain.

Their subfields of study include Molecular Biology, Immunology, Cancer Research, Oncology, and Biophysics. These areas highlight a broad engagement with cellular and molecular processes, disease mechanisms, and physical principles underlying biological function.

Key topics within their work include:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • RNA Research and Splicing
  • Cancer Genomics and Diagnostics
  • Cell Image Analysis Techniques
  • Genomics and Phylogenetic Studies
  • Epigenetics and DNA Methylation

Mark D. Robinson has contributed extensively to high-profile journals and preprint platforms, frequently publishing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • F1000Research
  • Genome biology
  • The Journal of Immunology

Recent significant papers authored by or involving Mark D. Robinson include:

  • Eleven grand challenges in single-cell data science, 2020, Genome biology
  • Doublet identification in single-cell sequencing data using scDblFinder, 2021, F1000Research
  • Doublet identification in single-cell sequencing data using scDblFinder, 2022, F1000Research
  • muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data, 2020, Nature Communications
  • A systematic performance evaluation of clustering methods for single-cell RNA-seq data, 2020, F1000Research

Collaborations feature prominently in their work, with frequent co-authors including:

  • Charlotte Soneson
  • Helena L. Crowell
  • Pierre-Luc Germain
  • Silvia Guglietta
  • Lukas M. Weber

Best Publications

  • edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

    Mark D. Robinson;Davis J. McCarthy;Gordon K. Smyth

  • A scaling normalization method for differential expression analysis of RNA-seq data

    Mark D Robinson;Mark D Robinson;Alicia Oshlack

  • Comprehensive genomic characterization defines human glioblastoma genes and core pathways

    Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir

  • Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

    Nevan J. Krogan;Gerard Cagney;Gerard Cagney;Haiyuan Yu;Gouqing Zhong

  • Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences

    Charlotte Soneson;Charlotte Soneson;Michael I. Love;Mark D. Robinson;Mark D. Robinson

  • Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutants

    Amy Hin Yan Tong;Marie Evangelista;Ainslie B. Parsons;Hong Xu

  • Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

    Simon Anders;Davis J McCarthy;Davis J McCarthy;Yunshun Chen;Yunshun Chen;Michal Okoniewski

  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

  • Small-sample estimation of negative binomial dispersion, with applications to SAGE data

    Mark D. Robinson;Gordon K. Smyth

  • Large‐scale mapping of human protein–protein interactions by mass spectrometry

    Rob M. Ewing;Peter Chu;Fred Elisma;Hongyan Li

  • Moderated statistical tests for assessing differences in tag abundance

    Mark D. Robinson;Gordon K. Smyth

  • From RNA-seq reads to differential expression results.

    Alicia Oshlack;Mark D Robinson;Mark D Robinson;Matthew D Young

  • High-throughput mapping of a dynamic signaling network in mammalian cells.

    Miriam Barrios-Rodiles;Kevin R. Brown;Barish Ozdamar;Barish Ozdamar;Rohit Bose;Rohit Bose

  • High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

    Carsten Krieg;Malgorzata Nowicka;Malgorzata Nowicka;Silvia Guglietta;Sabrina Schindler

  • Bias, robustness and scalability in single-cell differential expression analysis

    Charlotte Soneson;Charlotte Soneson;Mark D Robinson;Mark D Robinson

  • ESHRE PGD Consortium ‘Best practice guidelines for clinical preimplantation genetic diagnosis (PGD) and preimplantation genetic screening (PGS)’

    A.R. Thornhill;C.E. deDie-Smulders;J.P. Geraedts;J.C. Harper

  • FunSpec: a web-based cluster interpreter for yeast

    Mark D Robinson;Jörg Grigull;Naveed Mohammad;Timothy R Hughes

  • High-Definition Macromolecular Composition of Yeast RNA-Processing Complexes

    Nevan J. Krogan;Wen-Tao Peng;Gerard Cagney;Mark D. Robinson

  • Robustly detecting differential expression in RNA sequencing data using observation weights

    Xiaobei Zhou;Xiaobei Zhou;Helen Lindsay;Helen Lindsay;Mark D. Robinson;Mark D. Robinson

  • Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters

    Lani F. Wu;Timothy R. Hughes;Armaity P. Davierwala;Mark D. Robinson

Frequent Co-Authors

Susan J. Clark
Susan J. Clark Garvan Institute of Medical Research
José Iriarte
José Iriarte University of Exeter
Clare Stirzaker
Clare Stirzaker Garvan Institute of Medical Research
Terence P. Speed
Terence P. Speed Walter and Eliza Hall Institute of Medical Research
Gordon K. Smyth
Gordon K. Smyth Walter and Eliza Hall Institute of Medical Research
Burkhard Becher
Burkhard Becher University of Zurich
Christian von Mering
Christian von Mering University of Zurich
Quaid Morris
Quaid Morris Memorial Sloan Kettering Cancer Center
John C. Marioni
John C. Marioni European Bioinformatics Institute
Charles Boone
Charles Boone University of Toronto

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