What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
His main research concerns Cancer research, Pathology, Glioma, Internal medicine and Astrocytoma.
His Cancer research study combines topics in areas such as Gene expression, DNA methylation, Bioinformatics, Carcinogenesis and Transcription factor.
His research in DNA methylation intersects with topics in Cancer Genome Project, DNA mismatch repair, Functional genomics and ATRX.
Daniel J. Brat interconnects Angiogenesis, Central nervous system disease and Anatomy in the investigation of issues within Pathology.
Daniel J. Brat has researched Glioma in several fields, including In vivo, Hypoxia and IDH1.
His Internal medicine research is multidisciplinary, relying on both Endocrinology, Oncology and PAS domain.
His most cited work include:
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways (5484 citations)
- Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. (1510 citations)
- Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma. (965 citations)
What are the main themes of his work throughout his whole career to date?
Daniel J. Brat mainly focuses on Pathology, Cancer research, Glioma, Internal medicine and Brain tumor.
CDKN2A is closely connected to Astrocytoma in his research, which is encompassed under the umbrella topic of Pathology.
While the research belongs to areas of Cancer research, he spends his time largely on the problem of DNA methylation, intersecting his research to questions surrounding ATRX.
The concepts of his Glioma study are interwoven with issues in Cancer and Stem cell.
His Stem cell research integrates issues from Asymmetric cell division and Cyclin-dependent kinase 5.
His Internal medicine study combines topics from a wide range of disciplines, such as Endocrinology and Oncology.
He most often published in these fields:
- Pathology (33.57%)
- Cancer research (28.06%)
- Glioma (23.50%)
What were the highlights of his more recent work (between 2016-2021)?
- Cancer research (28.06%)
- Glioma (23.50%)
- Pathology (33.57%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cancer research, Glioma, Pathology, Artificial intelligence and Brain tumor.
His work on Glioblastoma as part of general Cancer research research is frequently linked to OLIG2, thereby connecting diverse disciplines of science.
His studies deal with areas such as Cancer, Internal medicine, Radiation therapy and Oncology as well as Glioma.
His Oncology research incorporates elements of Oligodendroglioma and DNA methylation.
Daniel J. Brat frequently studies issues relating to Solitary fibrous tumor and Pathology.
His biological study deals with issues like Third ventricle, which deal with fields such as Neurology, Coagulative necrosis and Tumor progression.
Between 2016 and 2021, his most popular works were:
- Genomic and Functional Approaches to Understanding Cancer Aneuploidy (296 citations)
- Predicting cancer outcomes from histology and genomics using convolutional networks (276 citations)
- cIMPACT-NOW Update 3: Recommended diagnostic criteria for “Diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV” (228 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Daniel J. Brat focuses on Cancer research, Glioma, Brain tumor, Oncology and Internal medicine.
Daniel J. Brat has included themes like Oncogene, Transcription factor, Signal transduction, microRNA and PTEN in his Cancer research study.
His microRNA research is multidisciplinary, incorporating perspectives in Mutation rate and DNA methylation.
Daniel J. Brat combines subjects such as Phenotype, Magnetic resonance imaging, Kinase and Proteomics with his study of Glioma.
His Oncology research includes elements of Cancer, Anaplastic astrocytoma, Diffuse Astrocytoma, Not Otherwise Specified and Oligodendroglioma.
The study incorporates disciplines such as Lesion, Astrocytoma, Astrocytic glioma and Human glioma in addition to Internal medicine.
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.
