What is he best known for?
The fields of study he is best known for:
- Gene
- Immune system
- Antibody
Pablo Engel mainly focuses on Cell biology, Signal transduction, Receptor, Molecular biology and Cell adhesion molecule.
Pablo Engel works mostly in the field of Cell biology, limiting it down to topics relating to Transmembrane protein and, in certain cases, Leukocyte Rolling and Cytoplasm, as a part of the same area of interest.
His Signal transduction study combines topics in areas such as Cell surface receptor, Phosphorylation, Glycoprotein and CD19.
In the subject of general Receptor, his work in SH2 domain, Proto-oncogene tyrosine-protein kinase Src and Innate immune system is often linked to X-linked lymphoproliferative disease, thereby combining diverse domains of study.
COS cells, Ligand and Integrin is closely connected to Epitope in his research, which is encompassed under the umbrella topic of Molecular biology.
His Cell adhesion molecule research includes themes of Peptide sequence and Cell adhesion.
His most cited work include:
- The selectins: vascular adhesion molecules. (872 citations)
- CD20: a regulator of cell-cycle progression of B lymphocytes (494 citations)
- Abnormal B lymphocyte delevopment, activation, and differentiation in mice that lack or overexpress the CD19 signal transduction molecule (480 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Cell biology, Immunology, Receptor, Molecular biology and Immune system.
His work deals with themes such as Cell surface receptor and CD8, which intersect with Cell biology.
His Receptor research is multidisciplinary, incorporating perspectives in Tumor necrosis factor alpha, Jurkat cells, Cytokine, Virology and Transfection.
His Molecular biology research integrates issues from Ligand, Complementary DNA, Exon, Epitope and COS cells.
His study looks at the relationship between Immune system and topics such as Antibody, which overlap with Flow cytometry.
His work on SH2 domain is typically connected to X-linked lymphoproliferative disease as part of general Signal transduction study, connecting several disciplines of science.
He most often published in these fields:
- Cell biology (34.85%)
- Immunology (31.06%)
- Receptor (31.06%)
What were the highlights of his more recent work (between 2017-2021)?
- Immune system (25.76%)
- Immunology (31.06%)
- T cell (12.88%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Immune system, Immunology, T cell, Antibody and Cell biology.
Pablo Engel combines subjects such as Congenital cytomegalovirus infection, Natural killer cell, Inflammation and Viral protein with his study of Immune system.
The T cell study combines topics in areas such as Cancer research and B cell.
His research in Antibody intersects with topics in Flow cytometry and Cytometry.
His Cell biology research includes themes of Receptor, Dendritic cell and Cellular differentiation.
Pablo Engel has researched Receptor in several fields, including Gene and DNA.
Between 2017 and 2021, his most popular works were:
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) (345 citations)
- Development of a Novel Anti-CD19 Chimeric Antigen Receptor: A Paradigm for an Affordable CAR T Cell Production at Academic Institutions (37 citations)
- A Prominent Role of the Human Cytomegalovirus UL8 Glycoprotein in Restraining Proinflammatory Cytokine Production by Myeloid Cells at Late Times during Infection. (16 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Immune system
- Antibody
Pablo Engel focuses on Immune system, Antibody, B cell, T cell and Flow cytometry.
His Immune system study combines topics from a wide range of disciplines, such as Virology, Gene and Cell biology.
Pablo Engel works on Cell biology which deals in particular with Signal transduction.
His Antibody study incorporates themes from Viral protein and Cytometry.
He interconnects Cytotoxic T cell, Cancer research, Chimeric antigen receptor and CD19 in the investigation of issues within B cell.
His work on Cell sorting and Cell separation as part of general Flow cytometry research is often related to Cell selection, Data science and Quality performance, thus linking different fields of science.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
