What is he best known for?
The fields of study he is best known for:
Robert M. Stephens focuses on Gene, Genetics, Gene expression profiling, Cancer research and microRNA.
His Gene research focuses on Database and how it connects with Biological database.
His Genetics research incorporates themes from Malaria and Artesunate.
His Gene expression profiling research is multidisciplinary, relying on both Microarray, Regulation of gene expression, Prostate and Data mining.
The study incorporates disciplines such as Wnt signaling pathway, Cellular differentiation, Breast cancer, Growth factor receptor and Transforming growth factor beta in addition to Cancer research.
His work carried out in the field of microRNA brings together such families of science as Carcinogenesis, Transcription factor, Molecular biology, Cell cycle and Prostate cancer.
His most cited work include:
- Unique microRNA molecular profiles in lung cancer diagnosis and prognosis (2682 citations)
- DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists (1262 citations)
- Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer. (627 citations)
What are the main themes of his work throughout his whole career to date?
Robert M. Stephens spends much of his time researching Genetics, Gene, Cancer research, Genome and Molecular biology.
Many of his research projects under Gene are closely connected to Retrotransposon with Retrotransposon, tying the diverse disciplines of science together.
He has researched Cancer research in several fields, including Carcinogenesis, Cancer, Prostate cancer, KRAS and microRNA.
His research integrates issues of Bioinformatics and Pathology in his study of Cancer.
The concepts of his microRNA study are interwoven with issues in Cell cycle, Gene silencing, Signal transduction and Glioma.
His Genome study integrates concerns from other disciplines, such as Computational biology and DNA.
He most often published in these fields:
- Genetics (37.84%)
- Gene (25.00%)
- Cancer research (22.30%)
What were the highlights of his more recent work (between 2013-2020)?
- Cancer research (22.30%)
- Genetics (37.84%)
- Gene (25.00%)
In recent papers he was focusing on the following fields of study:
Robert M. Stephens mainly focuses on Cancer research, Genetics, Gene, KRAS and Genome.
His Cancer research study incorporates themes from Cancer cell, Cell culture, Cell and microRNA.
Robert M. Stephens has included themes like E2F, Cyclin, Phosphoinositide 3-kinase and E2F1 in his microRNA study.
His Gene research includes themes of DNA damage and Mutation.
His study on KRAS also encompasses disciplines like
- MAPK/ERK pathway, which have a strong connection to EGFR inhibitors, Oncogene, Mutation and Wild type,
- Neurofibromin 1, which have a strong connection to GTPase and GTP',
- Kinase together with Phenotype, Rnai screen and Mutant,
- Epidermal growth factor receptor that connect with fields like Microarray, Copy-number variation, Gene expression and Messenger RNA.
Robert M. Stephens is interested in Genomics, which is a field of Genome.
Between 2013 and 2020, his most popular works were:
- MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis (257 citations)
- Genome analysis of three Pneumocystis species reveals adaptation mechanisms to life exclusively in mammalian hosts (87 citations)
- miR-126 contributes to Parkinson's disease by dysregulating the insulin-like growth factor/phosphoinositide 3-kinase signaling (87 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Cancer research, Genetics, KRAS, Tag SNP and Exome.
His biological study spans a wide range of topics, including GTPase, Epidermal growth factor receptor, RNA interference, Kinase and Effector.
His research in Genetics intersects with topics in Proteases and Virology.
His work deals with themes such as Wild type, Neurofibromin 1, EGFR inhibitors, GTP' and MAPK/ERK pathway, which intersect with KRAS.
His Tag SNP research incorporates elements of SNP genotyping, Concordance, SNP array and Data mining.
His Exome study contributes to a more complete understanding of Exome sequencing.
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