What is he best known for?
The fields of study he is best known for:
- Gene
- Antibody
- Immune system
His main research concerns Immunology, T cell, Autoimmunity, Autoantibody and Apoptosis.
He has researched Immunology in several fields, including Systemic lupus erythematosus and Internal medicine.
The study incorporates disciplines such as Cytokine and Antigen in addition to Autoimmunity.
His studies deal with areas such as Gene and Immune system as well as Antigen.
The concepts of his Autoantibody study are interwoven with issues in Allotype and Chimera.
His Apoptosis research includes elements of Molecular biology, Flow cytometry, Receptor and Apoptotic cell clearance.
His most cited work include:
- Lpr and gld: single gene models of systemic autoimmunity and lymphoproliferative disease. (1113 citations)
- Phagocytosis and clearance of apoptotic cells is mediated by MER (966 citations)
- Delayed apoptotic cell clearance and lupus-like autoimmunity in mice lacking the c-mer membrane tyrosine kinase. (540 citations)
What are the main themes of his work throughout his whole career to date?
Philip L. Cohen mostly deals with Immunology, Autoantibody, Molecular biology, Antibody and Autoimmunity.
The Immunology study which covers Systemic lupus erythematosus that intersects with Apoptotic cell clearance.
His Autoantibody research is multidisciplinary, relying on both Immune system, B cell, Lupus erythematosus, Gene and Bone marrow.
Philip L. Cohen combines subjects such as Cell culture, T lymphocyte, In vitro, Apoptosis and Monoclonal antibody with his study of Molecular biology.
His Autoimmunity study incorporates themes from Cytokine, Marginal zone, Receptor, Immunopathology and Major histocompatibility complex.
His Cell biology research is multidisciplinary, incorporating perspectives in Efferocytosis and Macrophage.
He most often published in these fields:
- Immunology (80.56%)
- Autoantibody (46.11%)
- Molecular biology (30.56%)
What were the highlights of his more recent work (between 2011-2020)?
- Immunology (80.56%)
- Systemic lupus erythematosus (20.56%)
- Cell biology (8.33%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Immunology, Systemic lupus erythematosus, Cell biology, MERTK and Internal medicine.
His work in Interferon, Antibody, Inflammation, B cell and Cytokine is related to Immunology.
His research integrates issues of Autoantibody, Autoimmune disease, Immune system, Lupus erythematosus and Nephritis in his study of Systemic lupus erythematosus.
His Cell biology research is multidisciplinary, incorporating elements of Antisynthetase syndrome, Apoptosis, Biochemistry, Autoimmunity and In vivo.
His MERTK study combines topics in areas such as Cancer research, CD14, Efferocytosis, Macrophage and GAS6.
As a part of the same scientific study, Philip L. Cohen usually deals with the Antigen, concentrating on Molecular biology and frequently concerns with T cell.
Between 2011 and 2020, his most popular works were:
- Efficient Clearance of Early Apoptotic Cells by Human Macrophages Requires M2c Polarization and MerTK Induction (311 citations)
- Coordinate regulation of neutrophil homeostasis by liver X receptors in mice (93 citations)
- The T cell in Sjogren's syndrome: force majeure, not spectateur. (90 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Immune system
- Antibody
Philip L. Cohen mainly investigates Immunology, GAS6, Inflammation, Lupus erythematosus and Systemic lupus erythematosus.
His Immunology research includes themes of Internal medicine and Cell aging.
His work investigates the relationship between GAS6 and topics such as MERTK that intersect with problems in Macrophage polarization, Macrophage and Efferocytosis.
His Inflammation research incorporates elements of Signal transduction and Kidney disease.
His work carried out in the field of Lupus erythematosus brings together such families of science as Interferon and Autoimmunity.
His study looks at the relationship between Interferon and fields such as Apoptotic cell clearance, as well as how they intersect with chemical problems.
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.
