What is he best known for?
The fields of study he is best known for:
- Cancer
- Immune system
- Internal medicine
His primary areas of study are Immunology, Immune system, CpG Oligodeoxynucleotide, CpG site and Immunotherapy.
The various areas that George J. Weiner examines in his Immunology study include Progressive disease and Cancer, Internal medicine.
His Cancer research research extends to the thematically linked field of Immune system.
His biological study spans a wide range of topics, including Cytokine secretion, Oligonucleotide and Lytic cycle.
His studies in Immunotherapy integrate themes in fields like Antibody, Rituximab, Cytokine and Clinical trial.
The concepts of his Cancer immunotherapy study are interwoven with issues in Interleukin 12, Janus kinase 3 and Adoptive cell transfer.
His most cited work include:
- CpG DNA : a potent signal for growth, activation, and maturation of human dendritic cells (663 citations)
- Immunostimulatory oligodeoxynucleotides containing the CpG motif are effective as immune adjuvants in tumor antigen immunization (560 citations)
- Rituximab: mechanism of action. (481 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Immunology, Internal medicine, Cancer research, Antibody and Immunotherapy.
The Immune system, Antigen and Complement system research George J. Weiner does as part of his general Immunology study is frequently linked to other disciplines of science, such as CpG Oligodeoxynucleotide, therefore creating a link between diverse domains of science.
His CpG Oligodeoxynucleotide research is multidisciplinary, incorporating perspectives in TLR9 and CpG site.
George J. Weiner has included themes like Gastroenterology and Oncology in his Internal medicine study.
His Antibody research incorporates themes from Molecular biology and Cytotoxicity.
His studies deal with areas such as T cell and Immune tolerance as well as Immunotherapy.
He most often published in these fields:
- Immunology (44.76%)
- Internal medicine (25.81%)
- Cancer research (25.40%)
What were the highlights of his more recent work (between 2014-2021)?
- Internal medicine (25.81%)
- Cancer research (25.40%)
- Immunology (44.76%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Internal medicine, Cancer research, Immunology, Immunotherapy and Immune system.
George J. Weiner combines subjects such as Gastroenterology and Oncology with his study of Internal medicine.
His Cancer research research is multidisciplinary, relying on both Genetic screen, Blockade, Mantle cell lymphoma and In vivo.
The concepts of his Immunology study are interwoven with issues in Cancer and Graft-versus-host disease.
His work on Chimeric antigen receptor as part of general Immunotherapy research is frequently linked to CpG site, bridging the gap between disciplines.
George J. Weiner brings together Immune system and CpG Oligodeoxynucleotide to produce work in his papers.
Between 2014 and 2021, his most popular works were:
- Building better monoclonal antibody-based therapeutics. (328 citations)
- Cancer Immunotherapy and Breaking Immune Tolerance: New Approaches to an Old Challenge (159 citations)
- Early event status informs subsequent outcome in newly diagnosed follicular lymphoma. (109 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Immune system
George J. Weiner mainly investigates Immunology, Immunotherapy, Immune system, Internal medicine and Lymphoma.
His research in Immunology is mostly focused on Cancer immunotherapy.
His studies deal with areas such as Cancer research, Hypoxia and Respiratory virus as well as Immunotherapy.
Immune tolerance and T cell are the core of his Immune system study.
George J. Weiner focuses mostly in the field of Internal medicine, narrowing it down to topics relating to Oncology and, in certain cases, Virus and Interleukin 6.
His research integrates issues of Genetics, Genome-wide association study and Cohort study in his study of Lymphoma.
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.
