A. Moorman
Molecular Biology · 2003–2009
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 20 citations into it; #3,740 of 17,773 by trust here, #7,842 by citations
- Epidemiology — 5 citations into it
Whom A. Moorman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Moorman overall
Papers from A. Moorman's perspective
Ordered by how strongly the researchers A. Moorman trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. (Journal of Molecular Endocrinology)
- Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. (Neuroscience Letters)
- Quantification of mRNA using real-time RT-PCR (Nature Protocols)
- Improving quantitative real-time RT-PCR reproducibility by boosting primer-linked amplification efficiency (Biotechnology Letters)
- A new mathematical model for relative quantification in real-time RT-PCR. (Nucleic Acids Research)
- A murine model of Holt-Oram syndrome defines roles of the T-box transcription factor Tbx5 in cardiogenesis and disease. (Cell)
- Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR
- Asymmetric redirection of flow through the heart (Nature)
- The arterial pole of the mouse heart forms from Fgf10-expressing cells in pharyngeal mesoderm. (Developmental Cell)
- Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis. (Nucleic Acids Research)
Their papers
- Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. (2003) — 3,774 citations
- Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data (2009) — 3,056 citations
- Cardiac chamber formation: development, genes, and evolution. (2003) — 748 citations