What is he best known for?
The fields of study he is best known for:
Stefano Volinia spends much of his time researching microRNA, Cancer research, Gene expression profiling, Cancer and Carcinogenesis.
His studies in microRNA integrate themes in fields like Gene expression, Molecular biology, Regulation of gene expression, Leukemia and Gene silencing.
His study in Cancer research is interdisciplinary in nature, drawing from both Cell cycle, Epigenetics, Cell growth and Bioinformatics.
Stefano Volinia combines subjects such as Progenitor cell, Microarray analysis techniques, Reprogramming, DDIT4 and Tumor progression with his study of Gene expression profiling.
His Cancer research is under the purview of Internal medicine.
His Carcinogenesis study integrates concerns from other disciplines, such as Microarray, Lung cancer and Thyroid carcinoma, Thyroid.
His most cited work include:
- A microRNA expression signature of human solid tumors defines cancer gene targets (4837 citations)
- MicroRNA gene expression deregulation in human breast cancer. (3402 citations)
- miR-15 and miR-16 induce apoptosis by targeting BCL2. (2952 citations)
What are the main themes of his work throughout his whole career to date?
Stefano Volinia mainly investigates microRNA, Cancer research, Gene, Genetics and Gene expression profiling.
His research in microRNA intersects with topics in Carcinogenesis, Cancer, Internal medicine, Oncology and Bioinformatics.
His research investigates the connection between Cancer and topics such as Pathology that intersect with issues in Adenocarcinoma.
As part of the same scientific family, Stefano Volinia usually focuses on Cancer research, concentrating on Downregulation and upregulation and intersecting with Cell growth.
His Gene expression profiling research incorporates elements of Microarray and Regulation of gene expression.
His studies in Gene expression integrate themes in fields like Molecular biology and Cell biology.
He most often published in these fields:
- microRNA (50.40%)
- Cancer research (43.70%)
- Gene (20.91%)
What were the highlights of his more recent work (between 2013-2021)?
- Cancer research (43.70%)
- microRNA (50.40%)
- Cancer (18.23%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cancer research, microRNA, Cancer, Internal medicine and Myeloid leukemia.
His Cancer research research includes themes of DNA methylation, Downregulation and upregulation, Immunology, Stem cell and PI3K/AKT/mTOR pathway.
Stefano Volinia combines subjects such as Bioinformatics, Carcinogenesis, Pathology, Breast cancer and Gene silencing with his study of microRNA.
The concepts of his Cancer study are interwoven with issues in Osteosarcoma and Progenitor cell.
His research investigates the connection with Internal medicine and areas like Oncology which intersect with concerns in Prostate cancer and Cohort.
His biological study spans a wide range of topics, including Gene expression, Gene expression profiling, Long non-coding RNA, NPM1 and Leukemia.
Between 2013 and 2021, his most popular works were:
- Expression and prognostic impact of lncRNAs in acute myeloid leukemia. (159 citations)
- Epigenetics Meets Genetics in Acute Myeloid Leukemia: Clinical Impact of a Novel Seven-Gene Score (108 citations)
- MSC-regulated microRNAs converge on the transcription factor FOXP2 and promote breast cancer metastasis. (102 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Cancer research, microRNA, Internal medicine, Cancer and Myeloid leukemia.
The various areas that Stefano Volinia examines in his Cancer research study include Protein kinase B, DNA methylation, Pathology, BAALC and Leukemia.
His microRNA study combines topics from a wide range of disciplines, such as Carcinogenesis, Apoptosis, Downregulation and upregulation and Effector, Cell biology.
His study looks at the intersection of Internal medicine and topics like Oncology with Bioinformatics.
His study in Cancer is interdisciplinary in nature, drawing from both Computational biology and Gene regulatory network.
His Myeloid leukemia study integrates concerns from other disciplines, such as Gene and NPM1.
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