What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Immune system and Cell biology.
His Computational biology study integrates concerns from other disciplines, such as Chromatin, Regulation of gene expression, CRISPR and Gene expression profiling.
His Immune system study combines topics from a wide range of disciplines, such as Cancer research and Antigen.
His Antigen study is concerned with the field of Immunology as a whole.
His study in the field of Signal transduction, Rab and Cell signaling also crosses realms of Exosomal secretion.
His RNA interference research includes elements of Endosome, Secretion and Bioinformatics.
His most cited work include:
- Full-length transcriptome assembly from RNA-Seq data without a reference genome. (10815 citations)
- Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals (3061 citations)
- A Lentiviral RNAi Library for Human and Mouse Genes Applied to an Arrayed Viral High-Content Screen (1421 citations)
What are the main themes of his work throughout his whole career to date?
Nir Hacohen mainly investigates Computational biology, Immune system, Genetics, Immunology and Cell biology.
His Computational biology research is multidisciplinary, relying on both Gene expression, CRISPR, Bioinformatics, Genomics and Chromatin.
His Immune system research is multidisciplinary, incorporating perspectives in Cell, Cell type, Disease and Antigen.
Nir Hacohen combines subjects such as Mutation and Antigen presentation with his study of Antigen.
His research in Cell biology intersects with topics in Receptor and Innate immune system.
His T cell research integrates issues from Cytotoxic T cell, Cancer research and CD8.
He most often published in these fields:
- Computational biology (40.98%)
- Immune system (37.15%)
- Genetics (29.72%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (40.98%)
- Immunology (27.81%)
- Immune system (37.15%)
In recent papers he was focusing on the following fields of study:
Nir Hacohen spends much of his time researching Computational biology, Immunology, Immune system, Cancer research and T cell.
His research integrates issues of Epitope, CRISPR and Peptide in his study of Computational biology.
His work focuses on many connections between Immunology and other disciplines, such as Disease, that overlap with his field of interest in Single-nucleotide polymorphism.
His Immune system study incorporates themes from Cell, Cell type, Stromal cell, Inflammation and Severe acute respiratory syndrome coronavirus 2.
His Cancer research research includes themes of Immune checkpoint, Cancer, Blockade and Immunotherapy.
His T cell study integrates concerns from other disciplines, such as Effector and Cell biology.
Between 2019 and 2021, his most popular works were:
- B cells and tertiary lymphoid structures promote immunotherapy response (330 citations)
- B cells and tertiary lymphoid structures promote immunotherapy response (330 citations)
- Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity. (128 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Computational biology, Immunology, T cell, Immune system and Epitope.
His studies deal with areas such as Cell, Antigen and Peptide as well as Computational biology.
His biological study spans a wide range of topics, including RNA, Gene and Gene expression profiling.
His study looks at the relationship between Gene and fields such as Cancer, as well as how they intersect with chemical problems.
He has included themes like Melanoma, Intracellular, Cell type and Immunotherapy in his T cell study.
His Immune system research is multidisciplinary, incorporating elements of Peripheral blood mononuclear cell, Gene signature and Monocyte.
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