D-Index & Metrics Best Publications

Raphael Gottardo

Fred Hutchinson Cancer Research Center
United States

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 Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 56 Citations 16,050 185 World Ranking 9747 National Ranking 4288

Overview

What is he best known for?

The fields of study Raphael Gottardo is best known for:

Gene
Immune system
Antibody

In his papers, Raphael Gottardo integrates diverse fields, such as Gene and Phenotype. Raphael Gottardo performs integrative study on Genetics and Computational biology in his works. In his works, Raphael Gottardo conducts interdisciplinary research on Computational biology and Gene. Borrowing concepts from Antibody, Raphael Gottardo weaves in ideas under Immunology. In his works, he performs multidisciplinary study on Data mining and Cluster analysis. The study of Cluster analysis is intertwined with the study of Artificial intelligence in a number of ways. In his papers, Raphael Gottardo integrates diverse fields, such as Artificial intelligence and Data mining. His Biochemistry study frequently involves adjacent topics like Bioconductor. His work on Bioconductor is being expanded to include thematically relevant topics such as Biochemistry.

His most cited work include:

Integrated analysis of multimodal single-cell data (2992 citations)
Orchestrating high-throughput genomic analysis with Bioconductor (2615 citations)
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (1632 citations)

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

In the field of Gene expression and Bioconductor Raphael Gottardo studies Gene. His Immune system research is covered under the topics of T cell and CD8. Raphael Gottardo undertakes multidisciplinary studies into T cell and Immune system in his work. With his scientific publications, his incorporates both Immunology and Antigen. Genetics and Computational biology are two areas of study in which he engages in interdisciplinary work. He conducts interdisciplinary study in the fields of Computational biology and Genetics through his works. His Virology study frequently draws connections between related disciplines such as Vaccination. His research ties Virology and Vaccination together. While working in this field, Raphael Gottardo studies both Artificial intelligence and Data mining.

Raphael Gottardo most often published in these fields:

Immunology (51.70%)
Gene (48.98%)
Genetics (46.26%)

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

Orchestrating high-throughput genomic analysis with Bioconductor

Wolfgang Huber;Vincent J Carey;Robert Gentleman;Simon Anders.
Nature Methods (2015)

2734 Citations

Integrated analysis of multimodal single-cell data

Yuhan Hao;Stephanie Hao;Erica Andersen-Nissen;William M. Mauck.
Cell (2021)

1678 Citations

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Greg Finak;Andrew McDavid;Masanao Yajima;Jingyuan Deng.
Genome Biology (2015)

1439 Citations

Critical assessment of automated flow cytometry data analysis techniques

Nima Aghaeepour;Greg Finak.
Nature Methods (2013)

597 Citations

Model-based analysis of tiling-arrays for ChIP-chip

W. Evan Johnson;Wei Li;Clifford A. Meyer;Raphael Gottardo.
Proceedings of the National Academy of Sciences of the United States of America (2006)

512 Citations

Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functions

Lucia Vojtech;Sangsoon Woo;Sean Hughes;Claire Levy.
Nucleic Acids Research (2014)

390 Citations

Combining Mixture Components for Clustering

Jean Patrick Baudry;Adrian E. Raftery;Gilles Celeux;Kenneth Lo.
Journal of Computational and Graphical Statistics (2010)

327 Citations

Automated gating of flow cytometry data via robust model-based clustering.

Kenneth Lo;Ryan Remy Brinkman;Raphael Gottardo.
Cytometry Part A (2008)

303 Citations

Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments

Andrew McDavid;Greg Finak;Pratip K. Chattopadyay;Maria Dominguez.
Bioinformatics (2013)

298 Citations

Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19.

Yapeng Su;Daniel Chen;Dan Yuan;Christopher Lausted.
Cell (2020)

290 Citations

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Frequent Co-Authors

External Links

Personal Website for Raphael Gottardo