What is he best known for?
The fields of study he is best known for:
- Immune system
- Antibody
- Virus
Syd Johnson mainly focuses on Antibody, Virology, Monoclonal antibody, Epitope and Virus.
The Antibody study combines topics in areas such as Cell biology and Effector.
The concepts of his Virology study are interwoven with issues in Bacterial vaccine, Immune system and Microbiology.
His study focuses on the intersection of Monoclonal antibody and fields such as Dengue virus with connections in the field of Immunity and Immunization.
His primary area of study in Epitope is in the field of Epitope mapping.
His Epitope mapping research integrates issues from West Nile Virus Vaccines, Viral envelope and Flavivirus.
His most cited work include:
- Development of a Humanized Monoclonal Antibody (MEDI-493) with Potent In Vitro and In Vivo Activity against Respiratory Syncytial Virus (557 citations)
- Development of a humanized monoclonal antibody with therapeutic potential against West Nile virus (436 citations)
- Development of motavizumab, an ultra-potent antibody for the prevention of respiratory syncytial virus infection in the upper and lower respiratory tract. (363 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Antibody, Monoclonal antibody, Virology, Immunology and Cancer research.
He has included themes like B-cell lymphoma and Effector in his Antibody study.
His research in Monoclonal antibody intersects with topics in Receptor, Fc receptor, Molecular biology, Avidity and Epitope.
His Virology study frequently draws connections between related disciplines such as Epitope mapping.
His Epitope mapping research includes elements of West Nile Virus Vaccines and Viral envelope.
His work carried out in the field of Cancer research brings together such families of science as Cancer cell, Cancer, Cytotoxic T cell and Antigen.
He most often published in these fields:
- Antibody (48.39%)
- Monoclonal antibody (43.01%)
- Virology (38.71%)
What were the highlights of his more recent work (between 2016-2019)?
- Cancer research (25.81%)
- Chemistry (21.51%)
- Antigen (23.66%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cancer research, Chemistry, Antigen, Monoclonal antibody and Pharmacology.
His Cancer research study integrates concerns from other disciplines, such as Cancer, Colorectal cancer, Immunotherapy, CD8 and Cytotoxic T cell.
His Monoclonal antibody study improves the overall literature in Antibody.
Syd Johnson regularly ties together related areas like Immune system in his Antibody studies.
His Pharmacology research is multidisciplinary, relying on both CD3, Cytokine and CD19.
His Receptor research incorporates themes from Chikungunya, Virus, Virology and Transgene.
Between 2016 and 2019, his most popular works were:
- MGD011, A CD19 x CD3 Dual-Affinity Retargeting Bi-specific Molecule Incorporating Extended Circulating Half-life for the Treatment of B-Cell Malignancies (45 citations)
- Development of MGD007, a gpA33 x CD3-Bispecific DART Protein for T-Cell Immunotherapy of Metastatic Colorectal Cancer. (28 citations)
- Optimal therapeutic activity of monoclonal antibodies against chikungunya virus requires Fc-FcγR interaction on monocytes (25 citations)
In his most recent research, the most cited papers focused on:
- Immune system
- Virus
- Antibody
His primary areas of study are Cancer research, Immune system, CD3, CD19 and Granzyme.
His work is dedicated to discovering how Cancer research, CD8 are connected with Cancer and other disciplines.
His Immune system research is multidisciplinary, incorporating perspectives in Transgene, Chikungunya, Virus, Virology and Receptor.
His research integrates issues of Perforin, Peripheral blood mononuclear cell, Refractory and Pharmacology in his study of CD3.
In his study, Leukemia is inextricably linked to B cell, which falls within the broad field of CD19.
His Granzyme study is concerned with the larger field of Antigen.
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.
