What is he best known for?
The fields of study he is best known for:
Zemin Zhang mostly deals with Genetics, Computational biology, Cancer, Bioinformatics and Gene.
His research investigates the link between Computational biology and topics such as Upload that cross with problems in Gene expression profiling.
The study incorporates disciplines such as Germline mutation, Cancer research, Autocrine signalling, Paracrine signalling and Hepatocyte growth factor in addition to Cancer.
His study in Bioinformatics is interdisciplinary in nature, drawing from both Expressed sequence tag, Protein sequencing, Membrane protein and Signal peptide.
His Gene expression research includes elements of Gene duplication, Molecular biology, Exome and Cell growth.
His Genomics research is multidisciplinary, relying on both Big data, End user, Data science and Profiling.
His most cited work include:
- GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. (2406 citations)
- Secreted and Transmembrane Polypeptides and Nucleic Acids Encoding the Same (1269 citations)
- Diverse somatic mutation patterns and pathway alterations in human cancers (821 citations)
What are the main themes of his work throughout his whole career to date?
Zemin Zhang mainly focuses on Genetics, Gene, Cancer research, Cancer and Computational biology.
Genome, Transcriptome, Gene expression, RNA and Gene expression profiling are the primary areas of interest in his Gene study.
Zemin Zhang has researched Cancer research in several fields, including T cell, CD8, Immune system and Antigen.
His CD8 study combines topics in areas such as Single cell sequencing and Cell biology.
The concepts of his Cancer study are interwoven with issues in Allele, Germline and Somatic cell.
In his research, Signal peptide is intimately related to Bioinformatics, which falls under the overarching field of Computational biology.
He most often published in these fields:
- Genetics (29.82%)
- Gene (28.07%)
- Cancer research (21.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (21.05%)
- Cell (11.11%)
- Gene (28.07%)
In recent papers he was focusing on the following fields of study:
Zemin Zhang mainly investigates Cancer research, Cell, Gene, Transcriptome and Immune system.
His Cancer research research includes themes of T cell, Transcription factor, CD8 and Cell growth.
Gene is a subfield of Genetics that Zemin Zhang tackles.
His studies deal with areas such as Cancer cell and Liver cancer, Hepatocellular carcinoma as well as Transcriptome.
His work deals with themes such as Myeloid, Cancer and Cytokine, which intersect with Immune system.
His Computational biology research is multidisciplinary, incorporating perspectives in Web server, Sequencing data, Germline and Genomics.
Between 2018 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. (339 citations)
- Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma. (158 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Cancer research, Transcriptome, Immune system, Downregulation and upregulation and Computational biology.
Zemin Zhang has included themes like Cell and Cancer immunotherapy in his Cancer research study.
Genetics and Gene are all intrinsically tied to his study in Transcriptome.
His Immune system study integrates concerns from other disciplines, such as Myeloid and Cell type.
Zemin Zhang interconnects Lipogenesis, Knockout mouse, Cell growth and Fatty acid synthase in the investigation of issues within Downregulation and upregulation.
His studies in Computational biology integrate themes in fields like Sequencing data, Phylogenetic tree, RNA, Cellular heterogeneity and Coding region.
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