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
Biology and Biochemistry D-index 60 Citations 80,647 235 World Ranking 7675 National Ranking 569

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • DNA

Michael W. Pfaffl mostly deals with Molecular biology, Real-time polymerase chain reaction, Gene expression, Computational biology and RNA. His Molecular biology study combines topics in areas such as Reverse transcriptase, Polymerase chain reaction, Ligase chain reaction, Biological system and Reproducibility. His Real-time polymerase chain reaction study integrates concerns from other disciplines, such as Reverse transcription polymerase chain reaction, Multiple displacement amplification, Amplicon and Applications of PCR.

His studies in Gene expression integrate themes in fields like Complementary DNA and Calibration curve. His Computational biology research includes themes of Normalization, Microarray analysis techniques, microRNA, DNA sequencing and Profiling. The concepts of his RNA study are interwoven with issues in Messenger RNA and Position paper.

His most cited work include:

  • A new mathematical model for relative quantification in real-time RT-PCR. (24640 citations)
  • The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments (9052 citations)
  • Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR (6100 citations)

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

Internal medicine, Gene expression, Endocrinology, Molecular biology and microRNA are his primary areas of study. His research investigates the connection between Internal medicine and topics such as Immune system that intersect with problems in Lactoferrin, Tumor necrosis factor alpha and Interleukin. Michael W. Pfaffl interconnects Messenger RNA and Computational biology in the investigation of issues within Gene expression.

His Computational biology research incorporates themes from Normalization and Anabolic Agents. His Molecular biology research is multidisciplinary, relying on both Cell culture, RNA, Reverse transcriptase, Polymerase chain reaction and Real-time polymerase chain reaction. His research on microRNA also deals with topics like

  • Biomarker and related Anabolism, Bioinformatics and Biomarker discovery,
  • Cell biology together with Regulation of gene expression.

He most often published in these fields:

  • Internal medicine (24.11%)
  • Gene expression (21.43%)
  • Endocrinology (21.43%)

What were the highlights of his more recent work (between 2018-2021)?

  • microRNA (16.07%)
  • Cell biology (8.93%)
  • Gene expression (21.43%)

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

Michael W. Pfaffl spends much of his time researching microRNA, Cell biology, Gene expression, Internal medicine and Extracellular vesicles. His study in microRNA is interdisciplinary in nature, drawing from both Biomarker, Cancer research and RNA-Seq. His research in the fields of Signal transduction overlaps with other disciplines such as MFGE8.

Michael W. Pfaffl focuses mostly in the field of Gene expression, narrowing it down to topics relating to Reverse transcriptase and, in certain cases, Computational biology. His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology and Mussel. His study focuses on the intersection of Small RNA and fields such as Transcriptome with connections in the field of Molecular biology, Venous blood, Fold change, Blood drawing and Spin column-based nucleic acid purification.

Between 2018 and 2021, his most popular works were:

  • Human airway epithelial extracellular vesicle miRNA signature is altered upon asthma development (27 citations)
  • The Beneficial Effect of Farm Milk Consumption on Asthma, Allergies, and Infections: From Meta-Analysis of Evidence to Clinical Trial. (20 citations)
  • Comparing small urinary extracellular vesicle purification methods with a view to RNA sequencing-Enabling robust and non-invasive biomarker research. (18 citations)

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

  • Gene
  • Internal medicine
  • DNA

Michael W. Pfaffl mainly investigates microRNA, Cell biology, Extracellular vesicles, Reverse transcriptase and Cancer research. His microRNA research incorporates elements of Transcriptome and Programmed cell death. Transcriptome is the subject of his research, which falls under Gene expression.

His work on Cell to cell communication as part of general Cell biology research is often related to Basic research, thus linking different fields of science. His Reverse transcriptase study integrates concerns from other disciplines, such as Contamination, Genome and Computational biology. The Cancer research study combines topics in areas such as Proteome, Peripheral blood mononuclear cell, Apoptosis and Whole blood.

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

A new mathematical model for relative quantification in real-time RT-PCR.

Michael W. Pfaffl.
Nucleic Acids Research (2001)

30543 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

Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR

Michael W. Pfaffl;Graham W. Horgan;Leo Dempfle.
Nucleic Acids Research (2002)

7566 Citations

Minimal information for studies of extracellular vesicles 2018 (MISEV2018) : a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

Clotilde Théry;Kenneth W. Witwer;Elena Aikawa;Maria Jose Alcaraz.
Journal of extracellular vesicles (2018)

6217 Citations

Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper--Excel-based tool using pair-wise correlations.

Michael W. Pfaffl;Ales Tichopad;Christian Prgomet;Tanja P. Neuvians.
Biotechnology Letters (2004)

4168 Citations

Quantitative real-time RT-PCR – a perspective

S A Bustin;V Benes;T Nolan;M W Pfaffl.
Journal of Molecular Endocrinology (2005)

1676 Citations

RNA integrity and the effect on the real-time qRT-PCR performance

Simone Fleige;Michael W. Pfaffl.
Molecular Aspects of Medicine (2006)

1588 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

EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research

Jan Van Deun;Pieter Mestdagh;Patrizia Agostinis;Özden Akay.
Nature Methods (2017)

660 Citations

Comparison of relative mRNA quantification models and the impact of RNA integrity in quantitative real-time RT-PCR.

Simone Fleige;Vanessa Walf;Silvia Huch;Christian Prgomet.
Biotechnology Letters (2006)

628 Citations

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