What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Immune system
- Gene
His scientific interests lie mostly in Immunology, Myocarditis, Autoimmunity, Autoantibody and Autoimmune disease.
His research integrates issues of Virology, Coxsackievirus, Interleukin, Dilated cardiomyopathy and Myosin in his study of Myocarditis.
The study incorporates disciplines such as Tumor necrosis factor alpha, Innate immune system, Molecular mimicry and Pathogenesis in addition to Autoimmunity.
The various areas that he examines in his Autoantibody study include Skeletal muscle, Immunopathology and Thyroglobulin.
His Autoimmune disease research incorporates elements of Epidemiology, Pediatrics and Complement receptor.
His Antibody research includes elements of Internal medicine and Antigen.
His most cited work include:
- Epidemiology and Estimated Population Burden of Selected Autoimmune Diseases in the United States (1244 citations)
- Manual of clinical laboratory immunology (1091 citations)
- The Autoimmune Diseases (1013 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Immunology, Internal medicine, Antigen, Antibody and Autoimmunity.
The concepts of his Immunology study are interwoven with issues in Autoimmune thyroiditis and Myocarditis.
His Myocarditis study incorporates themes from Inflammation, Cardiomyopathy, Pathology, Coxsackievirus and Dilated cardiomyopathy.
His Internal medicine research is multidisciplinary, incorporating elements of Endocrinology and Cardiology.
His work focuses on many connections between Antibody and other disciplines, such as Molecular biology, that overlap with his field of interest in Biochemistry.
His Autoimmunity study combines topics from a wide range of disciplines, such as Molecular mimicry and Pathogenesis.
He most often published in these fields:
- Immunology (71.99%)
- Internal medicine (23.11%)
- Antigen (20.17%)
What were the highlights of his more recent work (between 2008-2020)?
- Immunology (71.99%)
- Autoimmunity (20.03%)
- Myocarditis (18.77%)
In recent papers he was focusing on the following fields of study:
Noel R. Rose spends much of his time researching Immunology, Autoimmunity, Myocarditis, Autoimmune disease and Internal medicine.
His Immunology study frequently draws connections to adjacent fields such as Disease.
His studies in Autoimmunity integrate themes in fields like Acquired immune system, Innate immune system, Molecular mimicry and Immunity.
Noel R. Rose works mostly in the field of Myocarditis, limiting it down to concerns involving Pathology and, occasionally, CCL11 and Eotaxin.
His Autoimmune disease research incorporates themes from Genetic predisposition, Antigen, Rheumatoid arthritis, Type 1 diabetes and Neuroscience.
His Internal medicine study deals with Endocrinology intersecting with FOXP3, Integrin alpha M and Anti-thyroid autoantibodies.
Between 2008 and 2020, his most popular works were:
- Hashimoto thyroiditis: clinical and diagnostic criteria. (301 citations)
- Interleukin-17A Is Dispensable for Myocarditis but Essential for the Progression to Dilated Cardiomyopathy (193 citations)
- The varying faces of IL-6: From cardiac protection to cardiac failure. (151 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Immune system
- Gene
Noel R. Rose mainly focuses on Immunology, Myocarditis, Inflammation, Autoimmunity and Pathology.
Noel R. Rose regularly links together related areas like Disease in his Immunology studies.
His Myocarditis study integrates concerns from other disciplines, such as Cardiomyopathy, Virus, Fibrosis, Interleukin and Dilated cardiomyopathy.
His studies deal with areas such as Receptor, Endocrinology and Cytokine as well as Inflammation.
Noel R. Rose combines subjects such as Acquired immune system, Molecular mimicry, Antigen, Immunity and Innate immune system with his study of Autoimmunity.
His Pathology research integrates issues from Eotaxin and CCL11.
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.
