What is he best known for?
The fields of study he is best known for:
- Immune system
- Gene
- Cytokine
His primary areas of study are Immunology, T cell, Immune system, Molecular biology and Antigen.
Bernhard Fleischer has included themes like Cellular differentiation and Transmembrane protein in his Immunology study.
His work deals with themes such as Cytotoxic T cell, T lymphocyte, Secretion and Cell biology, which intersect with T cell.
His Immune system research focuses on subjects like Eosinophilia, which are linked to Interleukin 5, Inflammation, Filarioidea and BALB/c.
His Molecular biology study combines topics in areas such as Heat shock protein, In vitro, Real-time polymerase chain reaction and Leishmania.
Bernhard Fleischer has researched Antigen in several fields, including CD86, Streptococcus pyogenes and Microbiology.
His most cited work include:
- Interleukin-10 prevents experimental allergic encephalomyelitis in rats. (354 citations)
- CD26: a surface protease involved in T-cell activation (311 citations)
- Endosymbiotic bacteria in worms as targets for a novel chemotherapy in filariasis (263 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Immunology, T cell, Cytotoxic T cell, Molecular biology and Cell biology.
His Immunology study incorporates themes from Interleukin 12 and Virology.
His biological study spans a wide range of topics, including Secretion, T lymphocyte and Signal transduction.
His Cytotoxic T cell research incorporates themes from Rickettsia typhi and CD8.
The concepts of his Molecular biology study are interwoven with issues in In vitro, Transfection, Receptor, T-cell receptor and Monoclonal antibody.
His studies in Immune system integrate themes in fields like Trypanosoma cruzi and Vaccination.
He most often published in these fields:
- Immunology (48.35%)
- T cell (31.87%)
- Cytotoxic T cell (28.02%)
What were the highlights of his more recent work (between 2012-2018)?
- Immunology (48.35%)
- Virology (20.88%)
- Orientia tsutsugamushi (8.24%)
In recent papers he was focusing on the following fields of study:
Bernhard Fleischer spends much of his time researching Immunology, Virology, Orientia tsutsugamushi, Rickettsia typhi and Cytotoxic T cell.
His Immunology research incorporates elements of Tuberculosis and Mycobacterium tuberculosis.
His research in Virology tackles topics such as Antibody which are related to areas like Antigen, Cerebrospinal fluid and Real-time polymerase chain reaction.
His research on Cytotoxic T cell often connects related areas such as CD8.
His CD8 study combines topics from a wide range of disciplines, such as T cell and Adoptive cell transfer.
His Interleukin 21 research is multidisciplinary, relying on both Natural killer T cell and IL-2 receptor.
Between 2012 and 2018, his most popular works were:
- Decreased expression of miR-21, miR-26a, miR-29a, and miR-142-3p in CD4⁺ T cells and peripheral blood from tuberculosis patients. (53 citations)
- Effectiveness of Routine BCG Vaccination on Buruli Ulcer Disease: A Case-Control Study in the Democratic Republic of Congo, Ghana and Togo (39 citations)
- Dissemination of Orientia tsutsugamushi and Inflammatory Responses in a Murine Model of Scrub Typhus (35 citations)
In his most recent research, the most cited papers focused on:
- Immune system
- Gene
- Antibody
Bernhard Fleischer mainly focuses on Immunology, Orientia tsutsugamushi, Tuberculosis, Mycobacterium tuberculosis and Cytotoxic T cell.
His Immunology study focuses mostly on Interleukin, Tumour necrosis factor alpha, Interferon, Interleukin 17 and Interferon gamma.
His Orientia tsutsugamushi research is multidisciplinary, incorporating elements of Receptor, TLR4 and Macrophage.
His studies deal with areas such as Buruli ulcer, Leprosy and Vaccination as well as Tuberculosis.
His Cytotoxic T cell research is multidisciplinary, incorporating perspectives in CD8 and Lymphocyte.
Bernhard Fleischer has included themes like T cell, Epitope, Cell biology, Regulatory T cell and FOXP3 in his CD8 study.
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.
