What is he best known for?
The fields of study he is best known for:
Roland Rad spends much of his time researching Immunology, Helicobacter pylori, Cancer research, CagA and Carcinogenesis.
His study in the field of Myelodysplastic syndromes is also linked to topics like Spliceosome.
His Cancer research research integrates issues from CA19-9, Pancreatic cancer, Ductal cells, Pancreas and Notch signaling pathway.
His Carcinogenesis research is multidisciplinary, incorporating elements of DNA Mutational Analysis, KRAS, Breast cancer, PI3K/AKT/mTOR pathway and Transplantation.
His KRAS study combines topics in areas such as Cell Plasticity, Oncogene, Signal transduction and Bioinformatics.
His Cancer study is concerned with the larger field of Genetics.
His most cited work include:
- The landscape of cancer genes and mutational processes in breast cancer (1263 citations)
- CLINICAL RELEVANCE OF THE HELICOBACTER PYLORI GENE FOR BLOOD-GROUP ANTIGEN-BINDING ADHESIN (540 citations)
- Generation of transgene-free induced pluripotent mouse stem cells by the piggyBac transposon (503 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cancer research, Genetics, Pancreatic cancer, Cancer and Gene.
Roland Rad has included themes like Carcinogenesis, KRAS, Metastasis, Tumor progression and PI3K/AKT/mTOR pathway in his Cancer research study.
His KRAS research includes themes of Oncogene, Transplantation, YAP1 and Bioinformatics.
His Pancreatic cancer study incorporates themes from Tumor microenvironment, Cancer cell, Transcriptome, Pancreas and In vivo.
While the research belongs to areas of Gene, Roland Rad spends his time largely on the problem of Computational biology, intersecting his research to questions surrounding CRISPR.
His Mutation study integrates concerns from other disciplines, such as Leukemia and Myeloid leukemia.
He most often published in these fields:
- Cancer research (67.92%)
- Genetics (27.36%)
- Pancreatic cancer (30.66%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (67.92%)
- Pancreatic cancer (30.66%)
- Cell biology (11.32%)
In recent papers he was focusing on the following fields of study:
Cancer research, Pancreatic cancer, Cell biology, Computational biology and Transcriptome are his primary areas of study.
His work deals with themes such as Carcinogenesis, Cancer, Metastasis, Oncogene and KRAS, which intersect with Cancer research.
His study looks at the relationship between Carcinogenesis and fields such as Gene silencing, as well as how they intersect with chemical problems.
His work on Tumor progression as part of general Cancer research is frequently linked to SUMO protein, thereby connecting diverse disciplines of science.
His Pancreatic cancer study combines topics from a wide range of disciplines, such as Tumor microenvironment, Stromal cell and Hepatocyte growth factor.
His study in Computational biology is interdisciplinary in nature, drawing from both Proteome and Proteomics, Gene, Genome.
Between 2018 and 2021, his most popular works were:
- Multi-level proteomics reveals host-perturbation strategies of SARS-CoV-2 and SARS-CoV (84 citations)
- Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer (70 citations)
- Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer (70 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Cancer research, Computational biology, Steatohepatitis, Transcriptome and Proteomics.
His studies deal with areas such as Platelet aggregation inhibitor, Steatosis, Pancreatic cancer, CD8 and Immunotherapy as well as Cancer research.
His Pancreatic cancer research entails a greater understanding of Cancer.
He has researched Computational biology in several fields, including Gene targeting, Genetically Engineered Mouse, Gene, CRISPR and Epigenome.
In general Gene study, his work on Mutation and Somatic cell often relates to the realm of In utero, thereby connecting several areas of interest.
His research on Transcriptome also deals with topics like
- Interactome, which have a strong connection to Human cell line, Virus and Signal transduction,
- Autophagy most often made with reference to Omics.
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