What is he best known for?
The fields of study he is best known for:
- Gene
- Immune system
- Antibody
Kendall A. Smith spends much of his time researching T cell, Molecular biology, Receptor, Interleukin 2 and Cell biology.
His T cell research is multidisciplinary, relying on both Endocrinology, T lymphocyte, Lymphokine, Internal medicine and Cytolysis.
His work deals with themes such as Cell culture, Monoclonal antibody, Cytotoxic T cell, B-cell receptor and Receptor expression, which intersect with Molecular biology.
His Interleukin 2 research incorporates elements of Cell surface receptor, Cell cycle and Antigen.
Kendall A. Smith has researched Antigen in several fields, including Growth factor and Immune system.
His Cell biology research is multidisciplinary, incorporating elements of Immunology, Cytokine, Lymphocyte and T-cell growth factor.
His most cited work include:
- T Cell Growth Factor: Parameters of Production and a Quantitative Microassay for Activity (2817 citations)
- Interleukin-2: inception, impact, and implications. (1901 citations)
- Latent infection of CD4 + T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy (1771 citations)
What are the main themes of his work throughout his whole career to date?
Kendall A. Smith mainly investigates Interleukin 2, Immunology, Molecular biology, T cell and Receptor.
His Interleukin 2 research incorporates themes from Cell surface receptor, Monoclonal antibody, Binding site and Immunotherapy.
Kendall A. Smith combines subjects such as Stimulation and Virology with his study of Immunology.
In his research on the topic of Molecular biology, Growth factor is strongly related with Cell culture.
His T cell research integrates issues from Cytotoxic T cell, T lymphocyte, Lymphokine and Cell biology.
Kendall A. Smith interconnects Cell and Endocrinology in the investigation of issues within Receptor.
He most often published in these fields:
- Interleukin 2 (38.81%)
- Immunology (37.44%)
- Molecular biology (26.48%)
What were the highlights of his more recent work (between 2004-2020)?
- Immunology (37.44%)
- Interleukin 2 (38.81%)
- Cell biology (21.00%)
In recent papers he was focusing on the following fields of study:
Kendall A. Smith focuses on Immunology, Interleukin 2, Cell biology, Immune system and Cytotoxic T cell.
His Immunology study which covers Virology that intersects with PD-L1 and Il-2 therapy.
Kendall A. Smith does research in Interleukin 2, focusing on T-cell growth factor specifically.
His Cell biology study integrates concerns from other disciplines, such as Restriction point, Cytokine and DNA replication.
His Cytotoxic T cell study deals with CD8 intersecting with T cell, Interleukin-7 receptor, Flow cytometry and Splenocyte.
His research in T cell intersects with topics in Wild type, Lymphokine and Molecular biology.
Between 2004 and 2020, his most popular works were:
- Prolonged Interleukin-2Rα Expression on Virus-Specific CD8+ T Cells Favors Terminal-Effector Differentiation In Vivo (404 citations)
- Crystal structure of the IL-2 signaling complex: paradigm for a heterotrimeric cytokine receptor. (182 citations)
- Single-cell quantification of IL-2 response by effector and regulatory T cells reveals critical plasticity in immune response. (161 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Immune system
- Antibody
Immunology, Cytokine, Interleukin 2, Cell biology and Immune system are his primary areas of study.
His study on Immunology is mostly dedicated to connecting different topics, such as Virology.
Kendall A. Smith regularly ties together related areas like Immunotherapy in his Interleukin 2 studies.
Kendall A. Smith has included themes like Rabies, Prophylactic vaccination and Antigen in his Immune system study.
The study incorporates disciplines such as T cell, Cytotoxic T cell, IL-2 receptor and Interleukin-7 receptor in addition to CD8.
The concepts of his Cytotoxic T cell study are interwoven with issues in Receptor, Priming and Downregulation and upregulation.
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.
