What is he best known for?
The fields of study he is best known for:
- Gene
- Wnt signaling pathway
- Transcription factor
Michael Kühl mostly deals with Wnt signaling pathway, Cell biology, LRP6, Beta-catenin and LRP5.
His study in Wnt signaling pathway is interdisciplinary in nature, drawing from both Xenopus, Internal medicine and Heart development.
His is involved in several facets of Cell biology study, as is seen by his studies on Frizzled, Dishevelled and Protein kinase C.
His research investigates the connection with LRP6 and areas like Intracellular which intersect with concerns in Signalling, Cell type, GTP-binding protein regulators, Mediator and Zebrafish.
His work is dedicated to discovering how LRP5, Cellular differentiation are connected with Intracellular signal transduction, Tissue homeostasis and Convergent extension and other disciplines.
Axin Protein, Transcription factor, Armadillo repeats, TCF/LEF family and Myocyte is closely connected to Molecular biology in his research, which is encompassed under the umbrella topic of Catenin.
His most cited work include:
- Functional interaction of β-catenin with the transcription factor LEF-1 (2560 citations)
- Functional interaction of an axin homolog, conductin, with beta-catenin, APC, and GSK3beta. (1130 citations)
- The Wnt/Ca2+ pathway: a new vertebrate Wnt signaling pathway takes shape. (781 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Cell biology, Wnt signaling pathway, Xenopus, Genetics and LRP6.
His Cell biology research is multidisciplinary, relying on both Eye development and Cellular differentiation.
His Wnt signaling pathway study necessitates a more in-depth grasp of Signal transduction.
His Xenopus research is multidisciplinary, incorporating perspectives in Gastrulation, Embryogenesis, Transcription factor, Molecular biology and Heart development.
His work carried out in the field of Gastrulation brings together such families of science as Endoderm and Mesoderm.
His Catenin research incorporates themes from Cadherin and Convergent extension.
He most often published in these fields:
- Cell biology (53.42%)
- Wnt signaling pathway (40.41%)
- Xenopus (39.04%)
What were the highlights of his more recent work (between 2015-2021)?
- Cell biology (53.42%)
- Monetary economics (12.33%)
- Wnt signaling pathway (40.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Cell biology, Monetary economics, Wnt signaling pathway, Xenopus and Dynamic stochastic general equilibrium.
His study of Intracellular signal transduction is a part of Cell biology.
His Wnt signaling pathway research entails a greater understanding of Genetics.
His Xenopus study combines topics from a wide range of disciplines, such as Neurulation, Wnt inhibitor, Regulator and Neural crest.
The LRP5 study combines topics in areas such as Ca2+/calmodulin-dependent protein kinase, Catenin, Cell Maturation, LRP6 and Cell polarity.
His Beta-catenin research integrates issues from AXIN2 and Congenital cataracts.
Between 2015 and 2021, his most popular works were:
- A phospho-dependent mechanism involving NCoR and KMT2D controls a permissive chromatin state at Notch target genes (51 citations)
- Of Wnts and Ribosomes. (16 citations)
- Representing dynamic biological networks with multi-scale probabilistic models. (15 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Transcription factor
- Wnt signaling pathway
Michael Kühl spends much of his time researching Cell biology, Wnt signaling pathway, Xenopus, Gene regulatory network and Boolean network.
He combines subjects such as RRNA processing and Eye development with his study of Cell biology.
His Wnt signaling pathway study combines topics in areas such as Cell growth, Intracellular signal transduction, Cell division, Ribosome biogenesis and Cell cycle.
His biological study spans a wide range of topics, including Regulator, ISL1, DKK1 and Cardiac differentiation.
His Gene regulatory network research is multidisciplinary, incorporating elements of Range, Theoretical computer science, Data mining and Biological network.
Other disciplines of study, such as In silico, Life span, Growth factor, Chronic disease and Crosstalk, are mixed together with his Boolean network studies.
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