What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Immune system
His main research concerns Genetics, Computational biology, Single-cell analysis, Gene expression profiling and Cell.
His Computational biology study deals with Embryonic stem cell intersecting with Cellular differentiation.
His work in Single-cell analysis tackles topics such as Transcriptome which are related to areas like Messenger RNA.
His Gene expression profiling research includes themes of Phenotype, Regulation of gene expression, Cell biology and Genomics.
Alex K. Shalek studied Cell and Cancer research that intersect with Immune system, T cell, Somatic cell and Circulating tumor cell.
His Gene expression research focuses on subjects like Sequence analysis, which are linked to Single cell sequencing.
His most cited work include:
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (3597 citations)
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (3597 citations)
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (3597 citations)
What are the main themes of his work throughout his whole career to date?
Alex K. Shalek spends much of his time researching Cell, Immunology, Immune system, Computational biology and Cancer research.
His study in Cell is interdisciplinary in nature, drawing from both RNA, Phenotype, Gene and Transcriptome.
His research ties Single-cell analysis and Transcriptome together.
His Single-cell analysis research integrates issues from Cell biology and Gene expression profiling.
His Computational biology research is multidisciplinary, incorporating perspectives in Genetics, RNA-Seq, Gene expression, Bioinformatics and Genomics.
His biological study spans a wide range of topics, including Cancer cell, Bone marrow and Immunotherapy.
He most often published in these fields:
- Cell (52.81%)
- Immunology (45.94%)
- Immune system (35.31%)
What were the highlights of his more recent work (between 2019-2021)?
- Cell (52.81%)
- Immune system (35.31%)
- Immunology (45.94%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cell, Immune system, Immunology, Transcriptome and Cell biology.
His Cell research incorporates elements of Cancer research, Phenotype, RNA, Organoid and Computational biology.
Computational biology is closely attributed to Genomics in his study.
Alex K. Shalek combines subjects such as Stromal cell, Downregulation and upregulation, Gene, Virus and Cell type with his study of Immune system.
Alex K. Shalek usually deals with Transcriptome and limits it to topics linked to Cytokine and Mucosal associated invariant T cell.
His Cell biology study incorporates themes from Cell cycle, Liver function and Single-cell analysis.
Between 2019 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)
- Prevention of tuberculosis in macaques after intravenous BCG immunization. (130 citations)
- Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. (124 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Immune system
- Cancer
His scientific interests lie mostly in Immune system, Computational biology, Immunology, Gene and Cell.
Alex K. Shalek has researched Immune system in several fields, including Stromal cell, Transcriptome, Virus, breakpoint cluster region and Cell type.
His work in the fields of Transcriptome, such as RNA-Seq, intersects with other areas such as Erythropoiesis.
His work deals with themes such as Brain tissue and Genomics, which intersect with Computational biology.
As a part of the same scientific study, Alex K. Shalek usually deals with the Immunology, concentrating on Disease and frequently concerns with Human cell.
Alex K. Shalek interconnects RNA, Dimensionality reduction, Cluster analysis and Gene regulatory network in the investigation of issues within Cell.
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