What is he best known for?
The fields of study he is best known for:
Kun Zhang mainly focuses on Genetics, Genome, DNA methylation, Computational biology and Epigenomics.
As part of his studies on Genetics, Kun Zhang often connects relevant subjects like Evolutionary biology.
His work in the fields of Genome, such as Whole genome sequencing and Copy-number variation, overlaps with other areas such as Somatic hypermutation.
In his research, Base excision repair, DNA glycosylase, DNA repair, DNA demethylation and Thymine-DNA glycosylase is intimately related to Molecular biology, which falls under the overarching field of DNA methylation.
His research integrates issues of Polony, DNA sequencing, 2 base encoding and ABI Solid Sequencing in his study of Computational biology.
The Epigenomics study combines topics in areas such as Bisulfite sequencing, Regulation of gene expression, Epigenetics and Epigenetics of physical exercise.
His most cited work include:
- Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome (1430 citations)
- Somatic coding mutations in human induced pluripotent stem cells (1024 citations)
- SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. (901 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Computational biology, DNA methylation, Genome and Human genome.
CpG site, Induced pluripotent stem cell, Haplotype, Reprogramming and Linkage disequilibrium are the core of his Genetics study.
His research in Reprogramming intersects with topics in Cell biology and Somatic cell.
His Computational biology research incorporates elements of Gene expression profiling, RNA, Gene, DNA sequencing and Transcriptome.
His biological study spans a wide range of topics, including Methylation and Epigenetics.
Kun Zhang has researched Human genome in several fields, including Evolutionary biology and Multiplex.
He most often published in these fields:
- Genetics (54.86%)
- Computational biology (32.64%)
- DNA methylation (20.14%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (32.64%)
- Cell biology (11.11%)
- Gene (13.89%)
In recent papers he was focusing on the following fields of study:
Kun Zhang spends much of his time researching Computational biology, Cell biology, Gene, Precision medicine and Transcriptome.
His Computational biology research is multidisciplinary, relying on both Cancer, Gene expression profiling, Human tumor, Single-cell analysis and Mutation rate.
His work deals with themes such as Cell culture, MiRNA binding, Cell type and Polynucleotide, which intersect with Cell biology.
His Transcriptome study combines topics in areas such as Marmoset, RNA, Chromatin, Transcription and Epigenetics.
The concepts of his Epigenetics study are interwoven with issues in Promoter, Genome, DNA and dNaM.
Kun Zhang combines subjects such as Microsatellite, Human genome, Cell division and Fate mapping with his study of DNA methylation.
Between 2018 and 2021, his most popular works were:
- SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. (901 citations)
- High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell. (138 citations)
- The human body at cellular resolution: the NIH Human Biomolecular Atlas Program (95 citations)
In his most recent research, the most cited papers focused on:
Kun Zhang spends much of his time researching Computational biology, Transcriptome, Shared vision, Cellular resolution and Technology development.
Much of his study explores Computational biology relationship to RNA.
His RNA research includes elements of Transcription, Transcriptional regulation, Messenger RNA, Epigenetics and DNA sequencing.
Transcriptome is a subfield of Gene that he explores.
In his study, Single-cell analysis is strongly linked to Kidney disease, which falls under the umbrella field of Gene.
His work carried out in the field of Chromatin brings together such families of science as Evolutionary biology, Epigenomics, DNA methylation, Epigenome and Cell type.
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