What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Immune system
His scientific interests lie mostly in Immunology, Cell biology, Cytokine, Immune system and Inflammation.
He regularly links together related areas like Chemotaxis in his Immunology studies.
The Cell biology study combines topics in areas such as Cell, Biochemistry and Endothelium.
His Cytokine research is multidisciplinary, incorporating perspectives in Receptor, Apoptosis and Downregulation and upregulation.
His Immune system research is multidisciplinary, incorporating elements of Homeostasis, Sepsis and Effector.
His work on Proinflammatory cytokine as part of general Inflammation research is frequently linked to Poison control, thereby connecting diverse disciplines of science.
His most cited work include:
- Expression of the pro-apoptotic Bcl-2 family member Bim is regulated by the forkhead transcription factor FKHR-L1 (906 citations)
- Forkhead Transcription Factor FKHR-L1 Modulates Cytokine-Dependent Transcriptional Regulation of p27KIP1 (568 citations)
- A subset of neutrophils in human systemic inflammation inhibits T cell responses through Mac-1 (488 citations)
What are the main themes of his work throughout his whole career to date?
Leo Koenderman focuses on Immunology, Cell biology, Internal medicine, Inflammation and Eosinophil.
His Cell biology course of study focuses on Biochemistry and Platelet-activating factor.
His Internal medicine research incorporates elements of Gastroenterology and Endocrinology.
Leo Koenderman interconnects Tumor necrosis factor alpha and Pathology in the investigation of issues within Inflammation.
His Eosinophil research integrates issues from Eosinophilia, Chemotaxis and Interleukin 5.
He focuses mostly in the field of Signal transduction, narrowing it down to topics relating to Receptor and, in certain cases, Molecular biology.
He most often published in these fields:
- Immunology (40.88%)
- Cell biology (21.18%)
- Internal medicine (19.12%)
What were the highlights of his more recent work (between 2017-2021)?
- Immunology (40.88%)
- Immune system (10.59%)
- Inflammation (16.18%)
In recent papers he was focusing on the following fields of study:
Leo Koenderman spends much of his time researching Immunology, Immune system, Inflammation, Flow cytometry and Innate immune system.
His research integrates issues of Phenotype and Staphylococcus aureus in his study of Immunology.
His work deals with themes such as Inflammatory cascade, Recurrent infections and Severe trauma, which intersect with Immune system.
His Inflammation research incorporates elements of Tumor necrosis factor alpha, Endocrinology, Hypersegmented neutrophil, Apoptosis and Monocyte.
His Innate immune system research is multidisciplinary, relying on both Systemic-onset juvenile idiopathic arthritis, Arthritis, Interleukin, Systemic inflammation and Cohort.
His Nucleus study introduces a deeper knowledge of Cell biology.
Between 2017 and 2021, his most popular works were:
- Update on neutrophil function in severe inflammation (96 citations)
- The Neutrophil Life Cycle (80 citations)
- Neutrophil Heterogeneity in Cancer: From Biology to Therapies (39 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Immune system
His primary areas of investigation include Immunology, Immune system, Inflammation, Innate immune system and Flow cytometry.
In the subject of general Immunology, his work in Interleukin 5 is often linked to Granulomatosis with polyangiitis, thereby combining diverse domains of study.
His Immune system study integrates concerns from other disciplines, such as Inflammatory cascade, Recurrent infections and Immunosuppression.
His Inflammation research is multidisciplinary, incorporating perspectives in Phenotype, Blood drawing, Ex vivo and Hypersegmented neutrophil.
His Innate immune system research is multidisciplinary, incorporating elements of Anakinra, Systemic inflammation, Bone marrow and CD64.
His Flow cytometry research incorporates themes from Gating, Computational biology and Dimensionality reduction.
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