Michael J. Dunn

What is he best known for?

The fields of study he is best known for:

• Gene
• Internal medicine
• Enzyme

The scientist’s investigation covers issues in Proteomics, Chromatography, Two-dimensional gel electrophoresis, Computational biology and Polyacrylamide gel electrophoresis. His Proteomics study combines topics in areas such as Bioinformatics, Bipolar disorder, Psychosis, Molecular biology and Neuroscience. His work deals with themes such as Isoelectric focusing, Gel electrophoresis and Peptide, which intersect with Chromatography.

The concepts of his Two-dimensional gel electrophoresis study are interwoven with issues in Image processing, Image registration, Quantitative proteomics and Heart failure. Michael J. Dunn combines subjects such as Proteome, Heart disease, Disease and Gene isoform with his study of Computational biology. His Polyacrylamide gel electrophoresis research is multidisciplinary, relying on both Isoelectric point, Protein subunit and Electrophoresis.

His most cited work include:

• Current two‐dimensional electrophoresis technology for proteomics (1584 citations)
• Gel Electrophoresis of Proteins (692 citations)
• A modified silver staining protocol for visualization of proteins compatible with matrix-assisted laser desorption/ionization and electrospray ionization- mass spectrometry (640 citations)

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

His primary areas of study are Proteomics, Computational biology, Proteome, Chromatography and Internal medicine. His work in Proteomics tackles topics such as Cell biology which are related to areas like Cell growth. Michael J. Dunn has included themes like Human proteome project and Operations research in his Proteome study.

His Chromatography study integrates concerns from other disciplines, such as Two-dimensional gel electrophoresis, Polyacrylamide gel electrophoresis and Isoelectric focusing. His Two-dimensional gel electrophoresis research includes elements of Gel electrophoresis of proteins, Gel electrophoresis and Quantitative proteomics. His Internal medicine study incorporates themes from Endocrinology and Cardiology.

He most often published in these fields:

• Proteomics (42.47%)
• Computational biology (21.40%)
• Proteome (18.06%)

What were the highlights of his more recent work (between 2011-2017)?

• Proteomics (42.47%)
• Computational biology (21.40%)
• Internal medicine (15.05%)

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

Michael J. Dunn mainly investigates Proteomics, Computational biology, Internal medicine, Endocrinology and Proteome. His study deals with a combination of Proteomics and Field. The study incorporates disciplines such as Protein expression, Hippocampus, Membrane protein and False discovery rate in addition to Computational biology.

The study of Internal medicine is intertwined with the study of Cardiology in a number of ways. His biological study spans a wide range of topics, including Molecular biology, Neuroproteomics, Protein purification and G protein. His Molecular biology study deals with Primary and secondary antibodies intersecting with Gel electrophoresis.

Between 2011 and 2017, his most popular works were:

• Gel Electrophoresis of Proteins (692 citations)
• A comparison of the bovine uterine and plasma proteome using iTRAQ proteomics. (32 citations)
• Composition of the bovine uterine proteome is associated with stage of cycle and concentration of systemic progesterone (28 citations)

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

• Gene
• Internal medicine
• Enzyme

His primary scientific interests are in Proteomics, Internal medicine, Endocrinology, Computational biology and Gel electrophoresis. He performs multidisciplinary studies into Proteomics and Field in his work. His Endocrinology research is multidisciplinary, incorporating elements of Psychopharmacology and Case-control study.

Michael J. Dunn interconnects Integral membrane protein, Membrane protein and Hippocampus in the investigation of issues within Computational biology. His Gel electrophoresis research integrates issues from Psoriatic arthritis, Immunology, Arthritis and Alpha. His Proteome research incorporates themes from Molecular biology, Neuroproteomics, Protein purification and G protein.