D-Index & Metrics Best Publications
Genetics
Belgium
2023
Medicine
Belgium
2023

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
Medicine D-index 92 Citations 66,741 490 World Ranking 6856 National Ranking 76
Genetics D-index 97 Citations 69,352 506 World Ranking 518 National Ranking 5

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Belgium Leader Award

2023 - Research.com Genetics in Belgium Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Cancer

Jo Vandesompele mostly deals with Genetics, Gene expression profiling, Real-time polymerase chain reaction, Bioinformatics and Gene expression. His research combines Melorheostosis and Genetics. His Gene expression profiling study improves the overall literature in Gene.

His Real-time polymerase chain reaction research is multidisciplinary, relying on both Messenger RNA, Computational biology and Primer. Jo Vandesompele has included themes like Replication, Data science and Biomarker discovery in his Bioinformatics study. Jo Vandesompele has researched Gene expression in several fields, including RNA, Reverse transcriptase and microRNA.

His most cited work include:

  • Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (14653 citations)
  • The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments (9052 citations)
  • qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data (2808 citations)

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

His primary areas of investigation include Neuroblastoma, Computational biology, Cancer research, Genetics and Gene. His Neuroblastoma research incorporates elements of Cancer, Internal medicine, DNA methylation, Bioinformatics and Molecular biology. In his research, Messenger RNA is intimately related to RNA, which falls under the overarching field of Computational biology.

His Cancer research research incorporates themes from Phenotype, microRNA, N-Myc Proto-Oncogene Protein and Pathology. His work in Gene expression and Genome are all subfields of Gene research. His research investigates the connection between Gene expression and topics such as Real-time polymerase chain reaction that intersect with issues in Reverse transcriptase.

He most often published in these fields:

  • Neuroblastoma (27.36%)
  • Computational biology (25.15%)
  • Cancer research (24.14%)

What were the highlights of his more recent work (between 2017-2021)?

  • Computational biology (25.15%)
  • RNA (11.07%)
  • Cancer research (24.14%)

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

Jo Vandesompele mostly deals with Computational biology, RNA, Cancer research, Gene and Neuroblastoma. His study in Computational biology is interdisciplinary in nature, drawing from both Non-coding RNA, RNA-Seq, Extracellular RNA, Real-time polymerase chain reaction and Long non-coding RNA. Jo Vandesompele works in the field of Real-time polymerase chain reaction, namely Reference genes.

The study incorporates disciplines such as Normalization and Reverse transcriptase in addition to Reference genes. The various areas that Jo Vandesompele examines in his RNA study include Transcriptome, Gene expression, Sequencing data, Biomarker and Messenger RNA. His work deals with themes such as Phenotype, Gene silencing, In silico and FOXM1, which intersect with Cancer research.

Between 2017 and 2021, his most popular works were:

  • LNCipedia 5: towards a reference set of human long non-coding RNAs. (144 citations)
  • Computational deconvolution of transcriptomics data from mixed cell populations. (90 citations)
  • RNAcentral: a hub of information for non-coding RNA sequences (82 citations)

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

  • Gene
  • DNA
  • Cancer

Jo Vandesompele mainly investigates Computational biology, RNA, Gene, Gene expression and Neuroblastoma. His studies deal with areas such as Normalization, Non-coding RNA, Nucleic acid, Reverse transcriptase and Genome as well as Computational biology. His work is dedicated to discovering how Normalization, Human genetics are connected with Regulation of gene expression, Gene expression profiling and Long non-coding RNA and other disciplines.

His research in Reverse transcriptase focuses on subjects like Zebrafish, which are connected to Real-time polymerase chain reaction. Jo Vandesompele combines subjects such as Transcriptome and Sample with his study of RNA. His work carried out in the field of Neuroblastoma brings together such families of science as Cancer research and In silico.

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

Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

Jo Vandesompele;Katleen De Preter;Filip Pattyn;Bruce Poppe.
Genome Biology (2002)

19858 Citations

The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments

Stephen A. Bustin;Vladimir Benes;Jeremy A. Garson;Jan Hellemans.
Clinical Chemistry (2009)

13457 Citations

qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

Jan Hellemans;Geert Mortier;Anne De Paepe;Franki Speleman.
Genome Biology (2007)

3924 Citations

miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis

Li Ma;Jennifer Young;Harsha Prabhala;Elizabeth Pan.
Nature Cell Biology (2010)

1547 Citations

Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer

Martin Peifer;Lynnette Fernández-Cuesta;Martin L. Sos;Julie George.
Nature Genetics (2012)

1246 Citations

A novel and universal method for microRNA RT-qPCR data normalization

Pieter Mestdagh;Pieter Van Vlierberghe;An-Sofie De Weer;Daniel Muth.
Genome Biology (2009)

1060 Citations

How to do successful gene expression analysis using real-time PCR

Stefaan Derveaux;Jo Vandesompele;Jan Hellemans.
Methods (2010)

788 Citations

The impact of disparate isolation methods for extracellular vesicles on downstream RNA profiling

Jan Van Deun;Pieter Mestdagh;Raija Sormunen;Veronique Cocquyt.
Journal of extracellular vesicles (2014)

769 Citations

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg.
Nature Biotechnology (2014)

755 Citations

The Digital MIQE Guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments

Jim F. Huggett;Carole A. Foy;Vladimir Benes;Kerry Emslie.
Clinical Chemistry (2013)

733 Citations

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