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, Cellular differentiation, Gene and Regulation of gene expression.
The concepts of his Computational biology study are interwoven with issues in Human body, Cell type, Single-cell analysis and Gene expression profiling.
His work carried out in the field of Cellular differentiation brings together such families of science as Interleukin 33, Molecular biology, Interleukin 4, Interleukin 12 and Interleukin 15.
His Molecular biology research is multidisciplinary, incorporating perspectives in Interleukin 5, Interleukin 17, Repressor and Cell biology.
His research in Systems biology intersects with topics in Embryonic stem cell, Human cell and Human disease.
His Gene expression research integrates issues from T cell, Epigenetics and CD8.
His most cited work include:
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells (916 citations)
- The Human Cell Atlas (853 citations)
- The Human Cell Atlas (853 citations)
What are the main themes of his work throughout his whole career to date?
Nir Yosef spends much of his time researching Computational biology, Cell biology, Genetics, Cell and Gene.
His Computational biology research is multidisciplinary, incorporating elements of Cellular differentiation, Transcriptional regulation, Function, Genomics and Regulation of gene expression.
The various areas that he examines in his Cellular differentiation study include T cell, STAT3 and Molecular biology.
The study incorporates disciplines such as Regulator, Tissue homeostasis, Transcription factor and FOXP3 in addition to Cell biology.
His Cell study also includes fields such as
- Transcriptome that intertwine with fields like Single-cell analysis, Multiple sclerosis, Immunology and Probabilistic logic,
- Data mining that connect with fields like Generative model and Inference.
His work in the fields of Gene expression, Transcription and Phenotype overlaps with other areas such as Expression.
He most often published in these fields:
- Computational biology (52.07%)
- Cell biology (34.56%)
- Genetics (27.19%)
What were the highlights of his more recent work (between 2019-2021)?
- Cell biology (34.56%)
- Cell (27.65%)
- Computational biology (52.07%)
In recent papers he was focusing on the following fields of study:
Nir Yosef focuses on Cell biology, Cell, Computational biology, Transcriptome and Gene.
Nir Yosef combines subjects such as T cell, Transcription factor, FOXP3 and Epithelium with his study of Cell biology.
His research integrates issues of Lineage, Disseminated cancer, Cerebrospinal fluid and Immunology in his study of Cell.
Nir Yosef integrates Computational biology with Characterization in his research.
His biological study spans a wide range of topics, including Effector, Probabilistic logic, Polyamine and Single-cell analysis.
His Gene expression, Regulatory sequence and Transcription study, which is part of a larger body of work in Gene, is frequently linked to Hotspot and Expression, bridging the gap between disciplines.
Between 2019 and 2021, his most popular works were:
- Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis (53 citations)
- Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis (53 citations)
- Interpretable factor models of single-cell RNA-seq via variational autoencoders. (28 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Cell, Transcriptome, Immunology, Cerebrospinal fluid and Computational biology.
His Cell study frequently links to related topics such as Inference.
His studies deal with areas such as Probabilistic logic, Metastasis and Single-cell analysis as well as Transcriptome.
In general Immunology study, his work on Immune system, Interferon and T cell often relates to the realm of Viral encephalitis and Etiology, thereby connecting several areas of interest.
His study connects Cellular differentiation and Cerebrospinal fluid.
His Computational biology research incorporates elements of RNA, Gene expression, Gene and Sequence analysis.
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