What is he best known for?
The fields of study he is best known for:
His primary areas of study are Genetics, Genome, Genomics, Gene and Massive parallel sequencing.
His is involved in several facets of Genetics study, as is seen by his studies on Human genome, Allele frequency, Exome sequencing, Genetic variation and Single-nucleotide polymorphism.
In the subject of general Genome, his work in Human Microbiome Project is often linked to Inner mucus layer, thereby combining diverse domains of study.
His studies in Genomics integrate themes in fields like Sequence analysis, Computational biology, Whole genome sequencing and Reference genome.
His research in Gene intersects with topics in Bladder cancer, Transitional cell carcinoma, Cancer research and Botany.
His Massive parallel sequencing study integrates concerns from other disciplines, such as Trisomy, Prenatal diagnosis, Gene expression profiling and Obstetrics.
His most cited work include:
- A human gut microbial gene catalogue established by metagenomic sequencing (6577 citations)
- A draft sequence of the rice genome (Oryza sativa L. ssp indica) (3649 citations)
- The genome of the cucumber, Cucumis sativus L. (1012 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Genome, Gene, Computational biology and Cancer research.
His Genetics study focuses mostly on Exome sequencing, Whole genome sequencing, DNA methylation, Deep sequencing and Cancer genome sequencing.
Genome is often connected to Sequence analysis in his work.
His Computational biology research incorporates themes from CRISPR, Cas9 and DNA, DNA sequencing.
He usually deals with Cancer research and limits it to topics linked to Cancer and Gene mutation.
His Reference genome course of study focuses on Genome project and Genome evolution.
He most often published in these fields:
- Genetics (57.63%)
- Genome (30.93%)
- Gene (25.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Gene (25.85%)
- Computational biology (18.22%)
- Cancer research (11.86%)
In recent papers he was focusing on the following fields of study:
Xiuqing Zhang mainly focuses on Gene, Computational biology, Cancer research, CRISPR and Genetics.
The concepts of his Gene study are interwoven with issues in Antigen and T-cell receptor.
His Computational biology research integrates issues from Germline mutation, Reprogramming, Chromatin, Epigenomics and DNA sequencing.
His work deals with themes such as Breast cancer, Triple-negative breast cancer, Metastasis and Immunotherapy, which intersect with Cancer research.
His work in Genetics tackles topics such as Pathogenicity which are related to areas like Human genetics.
Xiuqing Zhang studies Genomics, a branch of Genome.
Between 2018 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- An ATAC-seq atlas of chromatin accessibility in mouse tissues (32 citations)
- Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas. (15 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Computational biology, Gene, CRISPR, Machine learning and Artificial intelligence.
The Computational biology study combines topics in areas such as Genotyping and Target enrichment.
Gene is a subfield of Genetics that Xiuqing Zhang tackles.
His Genetics research is multidisciplinary, relying on both Random forest, Pathogenicity and Disease.
Xiuqing Zhang has researched CRISPR in several fields, including Reporter gene, Immunostaining, DNA and Green fluorescent protein.
His studies deal with areas such as Genome editing, Guide RNA and In silico as well as Machine learning.
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