What is he best known for?
The fields of study he is best known for:
- Gene
- Enzyme
- Gene expression
Michael T. McManus focuses on Cell biology, Genetics, microRNA, Gene silencing and Molecular biology.
His Cell biology research is multidisciplinary, incorporating elements of Cellular differentiation, Transcription factor, Regulation of gene expression, Centrosome cycle and Centriole elongation.
Michael T. McManus frequently studies issues relating to Computational biology and Genetics.
Michael T. McManus has included themes like Erg, Retinal, Ribonuclease III, Zebrafish and Dicer in his microRNA study.
His studies deal with areas such as Endocrinology, Gene expression, Internal medicine, Messenger RNA and HOXB8 as well as Gene silencing.
His research on Molecular biology also deals with topics like
- Stem cell that intertwine with fields like Induced pluripotent stem cell and Cancer research,
- Transgene that intertwine with fields like Precursor cell.
His most cited work include:
- Integrative analysis of 111 reference human epigenomes (3776 citations)
- A lentivirus-based system to functionally silence genes in primary mammalian cells, stem cells and transgenic mice by RNA interference (1513 citations)
- Gene silencing in mammals by small interfering RNAs (1451 citations)
What are the main themes of his work throughout his whole career to date?
Michael T. McManus spends much of his time researching Cell biology, microRNA, Genetics, Molecular biology and Biochemistry.
Michael T. McManus focuses mostly in the field of Cell biology, narrowing it down to matters related to Embryonic stem cell and, in some cases, Chromatin.
His microRNA research includes elements of Cancer research, Gene expression, Ribonuclease III, Regulation of gene expression and Gene silencing.
His biological study spans a wide range of topics, including Knockout mouse and Argonaute.
His Genetics study frequently links to other fields, such as Computational biology.
As a part of the same scientific study, Michael T. McManus usually deals with the Molecular biology, concentrating on Small hairpin RNA and frequently concerns with Cancer.
He most often published in these fields:
- Cell biology (34.11%)
- microRNA (23.83%)
- Genetics (22.90%)
What were the highlights of his more recent work (between 2015-2021)?
- Cell biology (34.11%)
- Gene (15.89%)
- Computational biology (14.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cell biology, Gene, Computational biology, Cancer research and microRNA.
The Cell biology study combines topics in areas such as RNA, RNA interference, Transcription factor, Internal medicine and Transcription.
His Gene study introduces a deeper knowledge of Genetics.
He applies his multidisciplinary studies on Genetics and Decoding methods in his research.
His studies in Computational biology integrate themes in fields like Function, CRISPR, Genetic screen and Genomics.
His study explores the link between microRNA and topics such as Haematopoiesis that cross with problems in Dicer, Argonaute, Biogenesis and Phenocopy.
Between 2015 and 2021, his most popular works were:
- Drug-tolerant persister cancer cells are vulnerable to GPX4 inhibition (342 citations)
- Unexplored therapeutic opportunities in the human genome. (142 citations)
- A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity (142 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Gene expression
The scientist’s investigation covers issues in Cell biology, Gene, Computational biology, Immune system and Genetics.
He works in the field of Cell biology, focusing on Progenitor cell in particular.
His Gene study integrates concerns from other disciplines, such as Cell and Innate immune system.
His work deals with themes such as Druggability, Genome and Human proteins, which intersect with Computational biology.
Genetics is often connected to Allergic inflammation in his work.
His Transcription factor research is multidisciplinary, incorporating perspectives in Gene expression, NF-κB, IκBα and CRISPR.
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