What is he best known for?
The fields of study he is best known for:
- Gene
- Immune system
- Antigen
His primary areas of investigation include Immunology, Antigen, Cytotoxic T cell, CD8 and Cell biology.
The study incorporates disciplines such as Ex vivo and Cellular differentiation in addition to Immunology.
His study in Antigen is interdisciplinary in nature, drawing from both Cancer research, Function and Immunotherapy.
The various areas that Vincenzo Cerundolo examines in his Cytotoxic T cell study include Molecular biology and Virology.
His CD8 study combines topics from a wide range of disciplines, such as T cell, Effector and Melanocyte.
His biological study spans a wide range of topics, including Immunological synapse, T-cell receptor, Antigen presentation and B cell.
His most cited work include:
- Memory CD8+ T cells vary in differentiation phenotype in different persistent virus infections. (1423 citations)
- Quantitation of HIV-1-specific cytotoxic T lymphocytes and plasma load of viral RNA. (1378 citations)
- Expansion of intestinal Prevotella copri correlates with enhanced susceptibility to arthritis (974 citations)
What are the main themes of his work throughout his whole career to date?
Vincenzo Cerundolo mostly deals with Immunology, Antigen, Cytotoxic T cell, Cell biology and Immune system.
His Immunology research incorporates elements of Cell and Virology.
His studies deal with areas such as Antigen presentation and Immunotherapy as well as Antigen.
Vincenzo Cerundolo combines subjects such as T cell, CD8 and Molecular biology with his study of Cytotoxic T cell.
His work deals with themes such as Antigen-presenting cell, Natural killer T cell, CD1D, T-cell receptor and Receptor, which intersect with Cell biology.
His Immune system research is multidisciplinary, incorporating perspectives in Cancer, Biochemistry and Melanoma.
He most often published in these fields:
- Immunology (38.57%)
- Antigen (30.22%)
- Cytotoxic T cell (28.75%)
What were the highlights of his more recent work (between 2014-2021)?
- Immunology (38.57%)
- Antigen (30.22%)
- Cell biology (26.04%)
In recent papers he was focusing on the following fields of study:
Vincenzo Cerundolo mainly investigates Immunology, Antigen, Cell biology, T cell and Cancer research.
His research on Immunology frequently links to adjacent areas such as Virology.
His Antigen research includes elements of Salmonella paratyphi A, Antibody, B cell and T-cell receptor.
His Cell biology research is multidisciplinary, relying on both CD1D, Lipid antigen, Immune system and CD40.
His T cell study integrates concerns from other disciplines, such as Cytotoxic T cell, CD8 and Wasp Venoms.
His study on Cancer research also encompasses disciplines like
- Cancer cell which is related to area like Transcriptome, Immunogenicity and Downregulation and upregulation,
- Cytotoxicity, Ex vivo and CTL* most often made with reference to Cancer immunotherapy.
Between 2014 and 2021, his most popular works were:
- Psoriatic T cells recognize neolipid antigens generated by mast cell phospholipase delivered by exosomes and presented by CD1a. (110 citations)
- Systems biology of immunity to MF59-adjuvanted versus nonadjuvanted trivalent seasonal influenza vaccines in early childhood (91 citations)
- The Regulatory Role of Invariant NKT Cells in Tumor Immunity (81 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Immune system
- Antibody
His primary scientific interests are in Immunology, Antigen, T cell, Immune system and Cell biology.
His Antigen study often links to related topics such as Immunotherapy.
His T cell research includes themes of Cytotoxic T cell, Endothelium, CD8 and Wasp Venoms.
His Cytotoxic T cell study combines topics in areas such as Adjuvant and Ovalbumin.
The concepts of his Immune system study are interwoven with issues in Influenza A virus subtype H5N1, Biochemistry and Immunopathology.
His Cell biology research incorporates themes from Autophagy, Cell, Actin cytoskeleton, Cytoskeleton and T-cell receptor.
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.
