What is he best known for?
The fields of study he is best known for:
- Immune system
- Cytokine
- Internal medicine
The scientist’s investigation covers issues in Immunology, Inflammation, Antigen, Cellular differentiation and Colitis.
He frequently studies issues relating to Macrophage and Immunology.
He has researched Inflammation in several fields, including T cell and Immune system.
His Antigen research is multidisciplinary, incorporating elements of Proinflammatory cytokine, CCR2, Dermis and Fate mapping.
Martin Guilliams works mostly in the field of Cellular differentiation, limiting it down to topics relating to Conventional Dendritic Cell and, in certain cases, Cell biology and Cell type.
His Colitis research includes themes of Lamina propria, Intestinal mucosa and Lymph node.
His most cited work include:
- Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis (1627 citations)
- Dendritic cells, monocytes and macrophages: a unified nomenclature based on ontogeny (970 citations)
- Identification of discrete tumor-induced myeloid-derived suppressor cell subpopulations with distinct T cell–suppressive activity (947 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Immunology, Cell biology, Macrophage, Inflammation and Dendritic cell.
Immunology is closely attributed to Cellular differentiation in his work.
Martin Guilliams focuses mostly in the field of Cell biology, narrowing it down to matters related to Transcription factor and, in some cases, T cell.
His Macrophage research is multidisciplinary, incorporating perspectives in Colony-stimulating factor, Embryonic stem cell, Cellular origin and Function.
Martin Guilliams combines subjects such as Tumor necrosis factor alpha, Colitis, Interleukin 10 and Trypanosoma with his study of Inflammation.
His Dendritic cell research integrates issues from Staining, Keratin 5, Computational biology and Cross-presentation.
He most often published in these fields:
- Immunology (83.33%)
- Cell biology (32.50%)
- Macrophage (26.67%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (32.50%)
- Macrophage (26.67%)
- Immune system (20.00%)
In recent papers he was focusing on the following fields of study:
Martin Guilliams focuses on Cell biology, Macrophage, Immune system, Immunology and Transcription factor.
His studies in Cell biology integrate themes in fields like Enhancer, Chromatin and Kupffer cell.
His study in Macrophage is interdisciplinary in nature, drawing from both Embryonic stem cell, Colony-stimulating factor, Inflammation, Tissue homeostasis and Function.
His research in Immune system intersects with topics in Cancer research and Cell signaling.
As part of his studies on Immunology, Martin Guilliams often connects relevant areas like Myelopoiesis.
His studies deal with areas such as IRF4 and CD64, Receptor, CD8, Antigen as well as Immunity.
Between 2017 and 2021, his most popular works were:
- Developmental and Functional Heterogeneity of Monocytes. (187 citations)
- A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment. (172 citations)
- Self-Maintaining Gut Macrophages Are Essential for Intestinal Homeostasis. (168 citations)
In his most recent research, the most cited papers focused on:
- Immune system
- Cytokine
- Internal medicine
Martin Guilliams mostly deals with Macrophage, Cell biology, Colony-stimulating factor, Immune system and Neuroscience.
The Macrophage study combines topics in areas such as Embryonic stem cell, Tissue homeostasis and Transcription factor.
His Cell biology research includes elements of NFKB1, Microglia, Central nervous system and Kupffer cell.
The concepts of his Neuroscience study are interwoven with issues in Inflammation, Gene expression and Parenchyma.
His work carried out in the field of Inflammation brings together such families of science as Phenotype and Haematopoiesis.
His Immunity study is concerned with the larger field of Immunology.
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.
