What is he best known for?
The fields of study he is best known for:
- Gene
- Receptor
- Internal medicine
Michel Bouvier spends much of his time researching Receptor, Cell biology, G protein-coupled receptor, Biochemistry and Signal transduction.
Michel Bouvier combines subjects such as Endocrinology and Function with his study of Receptor.
He has included themes like Molecular biology, Biogenesis and Mutant in his Cell biology study.
His Arrestin study in the realm of G protein-coupled receptor interacts with subjects such as Energy transfer.
Michel Bouvier works mostly in the field of Biochemistry, limiting it down to topics relating to Biophysics and, in certain cases, Förster resonance energy transfer.
His Signal transduction study incorporates themes from Internalization and Signalling.
His most cited work include:
- A Peptide Derived from a β2-Adrenergic Receptor Transmembrane Domain Inhibits Both Receptor Dimerization and Activation (722 citations)
- Detection of beta 2-adrenergic receptor dimerization in living cells using bioluminescence resonance energy transfer (BRET). (599 citations)
- Roles of G-protein-coupled receptor dimerization. (592 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Receptor, Cell biology, G protein-coupled receptor, Signal transduction and Biochemistry.
His Receptor research incorporates elements of Endocrinology and Pharmacology.
His Cell biology study combines topics in areas such as 5-HT5A receptor, Internalization and Endocytosis.
His G protein-coupled receptor study combines topics from a wide range of disciplines, such as Biophysics, Computational biology, Function and G protein.
His Signal transduction research is multidisciplinary, incorporating perspectives in HEK 293 cells and Effector.
His work on Enzyme-linked receptor as part of general Biochemistry study is frequently connected to Palmitoylation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Receptor (52.13%)
- Cell biology (40.35%)
- G protein-coupled receptor (35.09%)
What were the highlights of his more recent work (between 2017-2021)?
- G protein-coupled receptor (35.09%)
- Receptor (52.13%)
- Cell biology (40.35%)
In recent papers he was focusing on the following fields of study:
Michel Bouvier mostly deals with G protein-coupled receptor, Receptor, Cell biology, Signal transduction and G protein.
His studies deal with areas such as Computational biology, Endocytosis and Effector as well as G protein-coupled receptor.
Michel Bouvier interconnects Cell signaling, Neuroscience and Drug discovery in the investigation of issues within Receptor.
His Cell biology research integrates issues from HEK 293 cells and Internalization.
His biological study spans a wide range of topics, including Thrombin and Membrane protein.
His G protein study combines topics from a wide range of disciplines, such as Intrinsic activity, Angiotensin II and Drug development.
Between 2017 and 2021, his most popular works were:
- Manifold roles of β-arrestins in GPCR signaling elucidated with siRNA and CRISPR/Cas9 (96 citations)
- Structural insights into binding specificity, efficacy and bias of a beta2AR partial agonist. (64 citations)
- Functional selectivity profiling of the angiotensin II type 1 receptor using pathway-wide BRET signaling sensors (42 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Amino acid
- Internal medicine
His primary scientific interests are in Receptor, G protein-coupled receptor, Cell biology, Signal transduction and G protein.
His Receptor research includes elements of Heart failure, Pharmacology and Monocyte.
In general G protein-coupled receptor, his work in Functional selectivity is often linked to Ligand linking many areas of study.
His Cell biology research incorporates elements of Tissue homeostasis and Cell fusion.
His Signal transduction research is multidisciplinary, relying on both HEK 293 cells and Effector.
His study in G protein is interdisciplinary in nature, drawing from both Hormone and Ghrelin.
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.
