What is he best known for?
The fields of study he is best known for:
Itay Tirosh spends much of his time researching Single-cell analysis, Cell, Cancer research, Genetics and Tumor microenvironment.
His study in Single-cell analysis is interdisciplinary in nature, drawing from both Tuft cell and Epigenetics.
His Cell study integrates concerns from other disciplines, such as Gene expression profiling, RNA, Transcriptome, Immunology and Cell biology.
Itay Tirosh interconnects T cell and Blockade in the investigation of issues within Cancer research.
As a member of one scientific family, Itay Tirosh mostly works in the field of Genetics, focusing on Computational biology and, on occasion, Gene.
His work carried out in the field of Tumor microenvironment brings together such families of science as Cell cycle and Stromal cell.
His most cited work include:
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (3597 citations)
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma (2159 citations)
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq (1687 citations)
What are the main themes of his work throughout his whole career to date?
Itay Tirosh focuses on Cell, Genetics, Cancer research, Computational biology and Gene.
His Cell research incorporates elements of Cancer cell, Cancer, RNA, Transcriptome and Glioma.
His studies in Gene expression, Gene expression profiling, Regulation of gene expression, Saccharomyces cerevisiae and Nucleosome are all subfields of Genetics research.
Itay Tirosh has included themes like T cell, Immune system and Head and neck squamous-cell carcinoma in his Cancer research study.
His Head and neck squamous-cell carcinoma research includes elements of Metastasis and Lymph node.
His work investigates the relationship between Computational biology and topics such as Epigenetics that intersect with problems in Single-cell analysis.
He most often published in these fields:
- Cell (46.09%)
- Genetics (33.59%)
- Cancer research (35.94%)
What were the highlights of his more recent work (between 2019-2021)?
- Cell (46.09%)
- Cancer research (35.94%)
- Computational biology (27.34%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cell, Cancer research, Computational biology, Cancer and Mesenchymal stem cell.
His Cell research integrates issues from Cell culture, Phenotype, Cancer cell, Glioma and Metastasis.
Itay Tirosh has researched Cancer research in several fields, including Gene expression, Head and neck squamous-cell carcinoma, Single-cell analysis, Receptor and Immunotherapy.
Itay Tirosh focuses mostly in the field of Computational biology, narrowing it down to matters related to Stem cell and, in some cases, Gene expression profiling, Genomics, Tumor biology, Glioblastoma and Brain tumor.
His studies deal with areas such as Stromal cell and Expression analysis as well as Cancer.
His biological study spans a wide range of topics, including Epigenetics and Carcinoma Cell.
Between 2019 and 2021, his most popular works were:
- A single-cell landscape of high-grade serous ovarian cancer. (36 citations)
- The Glioma Stem Cell Model in the Era of Single-Cell Genomics. (26 citations)
- Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity. (19 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Cell, Computational biology, Phenotype, Profiling and Cancer cell.
His research in Cell is mostly focused on Cell cycle.
His Cell cycle research is multidisciplinary, incorporating elements of Tumor microenvironment, Interferon, RNA-Seq and Genetic heterogeneity.
His Phenotype research is multidisciplinary, relying on both Viability assay, Multiplex and Mechanism of action.
His studies examine the connections between Mesenchymal stem cell and genetics, as well as such issues in Regulation of gene expression, with regards to Cancer research.
The Stem cell study combines topics in areas such as Tumor heterogeneity, Gene expression profiling, Glioma and Genomics.
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