What is he best known for?
The fields of study he is best known for:
- Gene
- Immune system
- Cytokine
Thierry Roger spends much of his time researching Cytokine, Innate immune system, Macrophage migration inhibitory factor, Immunology and Immune system.
Internal medicine covers Thierry Roger research in Cytokine.
His Innate immune system study focuses mostly on Toll-like receptor and TLR2.
His biological study spans a wide range of topics, including Cancer research, Inflammation and Kinase, MAPK/ERK pathway, Cell biology.
His Immunology study integrates concerns from other disciplines, such as Genome-wide association study, Virology and Pathology.
His research integrates issues of Lipopolysaccharide and Pathogenesis in his study of Immune system.
His most cited work include:
- Macrophage migration inhibitory factor: a regulator of innate immunity. (1226 citations)
- MIF regulates innate immune responses through modulation of Toll-like receptor 4 (497 citations)
- Intracellular action of the cytokine MIF to modulate AP-1 activity and the cell cycle through Jab1 (488 citations)
What are the main themes of his work throughout his whole career to date?
Thierry Roger focuses on Immunology, Innate immune system, Macrophage migration inhibitory factor, Cytokine and Immune system.
His study in Immunology focuses on Sepsis, Inflammation, Tumor necrosis factor alpha, Immunity and Antigen.
His Innate immune system research includes themes of Macrophage, Microbiology and TLR4.
His Macrophage migration inhibitory factor study combines topics from a wide range of disciplines, such as Molecular biology, Cancer research, Endocrinology and Cell biology.
In his research, In vitro is intimately related to Proinflammatory cytokine, which falls under the overarching field of Cytokine.
His Immune system research is multidisciplinary, incorporating elements of Antibody and Virology.
He most often published in these fields:
- Immunology (42.24%)
- Innate immune system (34.16%)
- Macrophage migration inhibitory factor (28.57%)
What were the highlights of his more recent work (between 2015-2021)?
- Innate immune system (34.16%)
- Immunology (42.24%)
- Cytokine (26.71%)
In recent papers he was focusing on the following fields of study:
Innate immune system, Immunology, Cytokine, Immune system and Inflammation are his primary areas of study.
His work deals with themes such as Cell culture, Cell, In vitro, Macrophage and Staphylococcus aureus, which intersect with Innate immune system.
His Immunology research focuses on Coronavirus disease 2019 and how it connects with Fibrosis and Immune defence.
His biological study focuses on Macrophage migration inhibitory factor.
His Macrophage migration inhibitory factor research incorporates themes from Endocrinology, Developmental profile and Neonatal sepsis.
His Immune system research is multidisciplinary, incorporating perspectives in Internal medicine, Knockout mouse and Interleukin 8.
Between 2015 and 2021, his most popular works were:
- Impact of the microbial derived short chain fatty acid propionate on host susceptibility to bacterial and fungal infections in vivo. (47 citations)
- Myeloid-Derived Suppressor Cells in Sepsis. (45 citations)
- Novel strategies for targeting innate immune responses to influenza (42 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Immune system
- Cytokine
His primary scientific interests are in Immunology, Innate immune system, Immune system, Cytokine and Sepsis.
His Innate immune system research includes elements of Inflammation and Polysaccharide.
The various areas that Thierry Roger examines in his Immune system study include Cell metabolism, In vitro, Knockout mouse and Pneumonia.
His biological study deals with issues like Microbiology, which deal with fields such as Staphylococcus aureus and Propionate.
His Sepsis research is multidisciplinary, relying on both Macrophage migration inhibitory factor and Pathogenesis.
His research investigates the connection between Tumor necrosis factor alpha and topics such as Cell biology that intersect with issues in Toll-like 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.
