What is he best known for?
The fields of study he is best known for:
- Immune system
- Cancer
- Gene
Graham Pawelec spends much of his time researching Immunology, Immune system, Immunosenescence, Immunity and T cell.
His Immunology research is multidisciplinary, incorporating elements of Cancer and Virology.
The various areas that Graham Pawelec examines in his Immune system study include Longevity, Ageing, Senescence and Vaccination.
His Immunosenescence research incorporates elements of Infectious disease, Cytomegalovirus, Gerontology, Immunosurveillance and Inflammation.
His research in Immunity intersects with topics in Cell aging, Antigen presentation and Immunopathology.
His research integrates issues of Extracellular, T lymphocyte and Stimulation in his study of T cell.
His most cited work include:
- Multipeptide immune response to cancer vaccine IMA901 after single-dose cyclophosphamide associates with longer patient survival (651 citations)
- Cancer classification using the Immunoscore: a worldwide task force (525 citations)
- Immune evasion in cancer: Mechanistic basis and therapeutic strategies (515 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Immunology, Immune system, Immunosenescence, T cell and Antigen.
His Immunology study combines topics in areas such as Cytotoxic T cell and Cancer.
His research investigates the link between Immune system and topics such as Vaccination that cross with problems in Public health.
Graham Pawelec interconnects Infectious disease, Gerontology, Inflammation, Innate immune system and Thymic involution in the investigation of issues within Immunosenescence.
His study in T cell is interdisciplinary in nature, drawing from both Molecular biology, Peripheral blood mononuclear cell, T lymphocyte and Cell biology.
His work carried out in the field of Antigen brings together such families of science as Lymphocyte and Virology.
He most often published in these fields:
- Immunology (67.52%)
- Immune system (49.24%)
- Immunosenescence (31.42%)
What were the highlights of his more recent work (between 2017-2021)?
- Immune system (49.24%)
- Immunosenescence (31.42%)
- Immunology (67.52%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Immune system, Immunosenescence, Immunology, Vaccination and T cell.
Graham Pawelec does research in Immune system, focusing on CD8 specifically.
The Immunosenescence study combines topics in areas such as Longevity, Disease, Immunity and Ageing.
His Immunology research includes themes of Senescence and Peripheral blood mononuclear cell.
His Vaccination study incorporates themes from Gerontology, Pediatrics, Public health and Severe acute respiratory syndrome coronavirus 2.
His work deals with themes such as Tumor necrosis factor alpha, Cancer immunotherapy, Flow cytometry, CD14 and Cell biology, which intersect with T cell.
Between 2017 and 2021, his most popular works were:
- Can an Infection Hypothesis Explain the Beta Amyloid Hypothesis of Alzheimer's Disease? (63 citations)
- Can an Infection Hypothesis Explain the Beta Amyloid Hypothesis of Alzheimer's Disease? (63 citations)
- Myeloid-Derived Suppressor Cells: Not Only in Tumor Immunity. (49 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Gene
- Immune system
Immune system, Immunosenescence, Senescence, Immunology and Immunity are his primary areas of study.
Graham Pawelec has researched Immune system in several fields, including Tumor progression, Cancer research and Antibody.
His biological study spans a wide range of topics, including Infectious disease, Gerontology and Severe acute respiratory syndrome coronavirus 2.
His Senescence research incorporates themes from Amyloid beta, Senile plaques, Pathogenesis, Biochemistry of Alzheimer's disease and Microglia.
His Immunology research integrates issues from Alzheimer's disease and Dementia.
His studies in Immunity integrate themes in fields like Oncology, Carcinogenesis, Internal medicine, Disease and Vaccination.
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.
