What is he best known for?
The fields of study he is best known for:
His primary areas of study are RNA, Biochemistry, Small molecule, Molecular biology and Computational biology.
His studies in RNA integrate themes in fields like Combinatorial chemistry, Oligonucleotide and Myotonic dystrophy.
His work deals with themes such as Hepatotoxin, Microbiology and Bacteria, which intersect with Biochemistry.
His Small molecule research includes elements of Gene and Cell biology.
The study incorporates disciplines such as C9orf72 and microRNA in addition to Molecular biology.
His Computational biology study incorporates themes from Ligand, RNA Motifs and Rational design.
His most cited work include:
- Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure (1162 citations)
- Detection of Bacteria with Carbohydrate-Functionalized Fluorescent Polymers (374 citations)
- The Use of Carbohydrate Microarrays to Study Carbohydrate-Cell Interactions and to Detect Pathogens (248 citations)
What are the main themes of his work throughout his whole career to date?
Matthew D. Disney mainly focuses on RNA, Small molecule, Computational biology, Molecular biology and Biochemistry.
The various areas that Matthew D. Disney examines in his RNA study include Intron, Nucleic acid, Oligonucleotide and Cell biology.
His work focuses on many connections between Small molecule and other disciplines, such as microRNA, that overlap with his field of interest in Dicer.
His research investigates the connection with Computational biology and areas like Riboswitch which intersect with concerns in Ribosome.
As part of the same scientific family, Matthew D. Disney usually focuses on Molecular biology, concentrating on Binding site and intersecting with Stereochemistry.
In general Biochemistry study, his work on Glycomics often relates to the realm of Cover and Glycobiology, thereby connecting several areas of interest.
He most often published in these fields:
- RNA (76.19%)
- Small molecule (46.56%)
- Computational biology (34.92%)
What were the highlights of his more recent work (between 2018-2021)?
- RNA (76.19%)
- Small molecule (46.56%)
- Computational biology (34.92%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in RNA, Small molecule, Computational biology, Cell biology and RNA splicing.
A large part of his RNA studies is devoted to Untranslated region.
Matthew D. Disney has researched Untranslated region in several fields, including Proteome, Intrinsically disordered proteins and Molecular biology.
His Small molecule study integrates concerns from other disciplines, such as MBNL1, Nucleic acid, Function, Druggability and Oligonucleotide.
His biological study spans a wide range of topics, including Nucleic acid structure, Phenotype and Alternative splicing.
The concepts of his Cell biology study are interwoven with issues in Cleavage, DNA, Ribonuclease, Sense and Myotonic dystrophy.
Between 2018 and 2021, his most popular works were:
- Targeting RNA with Small Molecules To Capture Opportunities at the Intersection of Chemistry, Biology, and Medicine. (58 citations)
- Aberrant deposition of stress granule-resident proteins linked to C9orf72-associated TDP-43 proteinopathy (42 citations)
- An in silico map of the SARS-CoV-2 RNA Structurome. (39 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in RNA, Small molecule, Cell biology, Computational biology and Oligonucleotide.
Matthew D. Disney interconnects Biophysics, C9orf72 and Transcriptome in the investigation of issues within RNA.
His work carried out in the field of C9orf72 brings together such families of science as Stress granule, Molecular biology, Nuclear magnetic resonance spectroscopy, Antisense RNA and Ran.
His Small molecule research includes themes of Nucleic acid, Chemical biology, Ribonuclease, Druggability and Translation.
His Cell biology research is multidisciplinary, incorporating elements of Intrinsically disordered proteins, Gliosis, Messenger RNA and Sense.
His Oligonucleotide research incorporates elements of MBNL1, RNA splicing, CRISPR and Myotonic dystrophy.
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