What is he best known for?
The fields of study he is best known for:
Xian Chen focuses on Biochemistry, Gene, Genetics, Proteomics and Human genome.
Xian Chen interconnects Proteogenomics, Membrane protein, Phosphoproteomics and Cancer research in the investigation of issues within Proteomics.
The various areas that he examines in his Human genome study include Cell, ENCODE, Computational biology and Gene expression profiling.
Computational biology is closely attributed to Bioinformatics in his research.
His work in Genome tackles topics such as Proteome which are related to areas like Cytosol and Cytoplasm.
His Genomics research is multidisciplinary, incorporating perspectives in RNA, Polyadenylation and Amplicon.
His most cited work include:
- Landscape of transcription in human cells (3260 citations)
- An integrated encyclopedia of DNA elements in the human genome (2642 citations)
- Regulation of cellular metabolism by protein lysine acetylation. (1323 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Biochemistry, Proteomics, Cell biology, Computational biology and Molecular biology.
His Biochemistry study integrates concerns from other disciplines, such as Chromatography and Mass spectrometry.
His Proteomics study combines topics in areas such as Proteome, Cell, Hepatocellular carcinoma and Protein–protein interaction.
His Computational biology research includes elements of Biomarker, Proteogenomics, Gene and Bioinformatics.
His study in Human genome and Genome is carried out as part of his Gene studies.
His study looks at the relationship between Molecular biology and fields such as DNA, as well as how they intersect with chemical problems.
He most often published in these fields:
- Biochemistry (28.57%)
- Proteomics (26.53%)
- Cell biology (20.41%)
What were the highlights of his more recent work (between 2017-2021)?
- Cancer research (12.24%)
- Computational biology (19.90%)
- Cell biology (20.41%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cancer research, Computational biology, Cell biology, Cancer and Ubiquitin ligase.
His study in Computational biology is interdisciplinary in nature, drawing from both Published Erratum, Proteomics, Gene, Quantitative proteomics and Biomarker.
His research in Gene is mostly concerned with Glycoproteomics.
His studies deal with areas such as Experimental autoimmune encephalomyelitis, Innate immune system, RNA and Viral replication as well as Cell biology.
His Cancer course of study focuses on RNA splicing and Proteogenomics, Enhancer, Genomics and Alternative splicing.
His research in Cell culture intersects with topics in Structure–activity relationship and Biochemistry.
Between 2017 and 2021, his most popular works were:
- Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities. (142 citations)
- Hydrogen peroxide sensor HPCA1 is an LRR receptor kinase in Arabidopsis. (82 citations)
- VHL substrate transcription factor ZHX2 as an oncogenic driver in clear cell renal cell carcinoma (46 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Cancer research, Proteomics, Proteogenomics, Quantitative proteomics and Cancer.
His Cancer research research integrates issues from Kinase, Innate immune system, Ubiquitin ligase, In vivo and Drug discovery.
His Proteomics research incorporates elements of Contrast, Data mining, Missing data, Imputation and Inference.
Transcriptome and Gene are the focus of his Proteogenomics studies.
His work deals with themes such as Proteome, Computational biology, Mass spectrometry based proteomics and Mass spectrometry, which intersect with Quantitative proteomics.
The concepts of his Computational biology study are interwoven with issues in Mass spectrum, Chemical labeling and Robustness.
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