What is he best known for?
The fields of study he is best known for:
Ying Ge focuses on Biochemistry, Phosphorylation, Proteomics, Electron-capture dissociation and Mass spectrometry.
Much of his study explores Biochemistry relationship to Thiazole.
Ying Ge interconnects Cardiac function curve, Internal medicine, Heart failure and Troponin I in the investigation of issues within Phosphorylation.
The study incorporates disciplines such as Cardiovascular research, Computational biology and Top-down proteomics in addition to Proteomics.
His Electron-capture dissociation research is covered under the topics of Ion, Analytical chemistry and Tandem mass spectrometry.
As a member of one scientific family, Ying Ge mostly works in the field of Mass spectrometry, focusing on Stereochemistry and, on occasion, Cleavage.
His most cited work include:
- Top down characterization of larger proteins (45 kDa) by electron capture dissociation mass spectrometry. (312 citations)
- Activated ion electron capture dissociation for mass spectral sequencing of larger (42 kDa) proteins. (277 citations)
- Cardiac Repair in a Porcine Model of Acute Myocardial Infarction with Human Induced Pluripotent Stem Cell-Derived Cardiovascular Cells (263 citations)
What are the main themes of his work throughout his whole career to date?
Proteomics, Biochemistry, Mass spectrometry, Phosphorylation and Top-down proteomics are his primary areas of study.
His Proteomics research is multidisciplinary, incorporating perspectives in Proteome, Tandem mass spectrometry, Protein purification, Myofilament and Computational biology.
His Biochemistry study frequently draws connections to adjacent fields such as Troponin complex.
In general Mass spectrometry study, his work on Fourier transform ion cyclotron resonance and Electron-capture dissociation often relates to the realm of Nanoparticle, thereby connecting several areas of interest.
His Phosphorylation research incorporates elements of Biophysics, Myosin, Protein subunit and Troponin I.
The various areas that Ying Ge examines in his Chromatography study include Size-exclusion chromatography and Membrane protein.
He most often published in these fields:
- Proteomics (37.97%)
- Biochemistry (31.65%)
- Mass spectrometry (29.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Proteomics (37.97%)
- Mass spectrometry (29.11%)
- Computational biology (18.99%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Proteomics, Mass spectrometry, Computational biology, Top-down proteomics and Cell biology.
His Proteomics research integrates issues from Protein isoform, Tandem mass spectrometry, Protein purification, Pulmonary surfactant and Membrane protein.
His Mass spectrometry study introduces a deeper knowledge of Chromatography.
His study in Computational biology is interdisciplinary in nature, drawing from both Proteome, Mass analysis, A protein and Drug discovery.
His biological study spans a wide range of topics, including Skeletal muscle, Alternative splicing and Myofilament.
He studies Cell biology, namely Phosphorylation.
Between 2018 and 2021, his most popular works were:
- Best practices and benchmarks for intact protein analysis for top-down mass spectrometry. (65 citations)
- Identification and Quantification of Proteoforms by Mass Spectrometry. (49 citations)
- An Unbiased Proteomics Method to Assess the Maturation of Human Pluripotent Stem Cell–Derived Cardiomyocytes (21 citations)
In his most recent research, the most cited papers focused on:
Ying Ge focuses on Proteomics, Mass spectrometry, Computational biology, Top-down proteomics and Cell biology.
His Proteomics research incorporates themes from Phenotype, Hypertrophic cardiomyopathy, Alternative splicing and Myofilament.
His research in Myofilament intersects with topics in Protein isoform, PDZ domain, Phosphorylation, Skeletal muscle and Gene isoform.
Ying Ge works in the field of Mass spectrometry, focusing on Tandem mass spectrometry in particular.
His research integrates issues of Proteome, Protein primary structure, Chemical biology, Ligand and A protein in his study of Computational biology.
The study incorporates disciplines such as Cluster of differentiation, Induced pluripotent stem cell and LIM domain in addition to Cell biology.
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