What is she best known for?
The fields of study she is best known for:
Her main research concerns DNA, Oligonucleotide, Combinatorial chemistry, Base pair and Click chemistry.
Her DNA study frequently draws parallels with other fields, such as Ligation.
Her Oligonucleotide study combines topics in areas such as Yield, Nucleic acid thermodynamics, Nucleic acid and Biophysical chemistry.
In her research on the topic of Nucleic acid, Nucleobase and Base analog is strongly related with Organic chemistry.
Her Combinatorial chemistry research is multidisciplinary, relying on both Nanotechnology, Hammerhead ribozyme, Chemical ligation, Stem-loop and A-DNA.
Afaf H. El-Sagheer interconnects RNA, Hairpin ribozyme, Uracil and VS ribozyme in the investigation of issues within Click chemistry.
Her most cited work include:
- Click chemistry with DNA (526 citations)
- Click chemistry with DNA (526 citations)
- Template-directed oligonucleotide strand ligation, covalent intramolecular DNA circularization and catenation using click chemistry. (231 citations)
What are the main themes of her work throughout her whole career to date?
DNA, Oligonucleotide, Combinatorial chemistry, Biochemistry and Nanotechnology are her primary areas of study.
Afaf H. El-Sagheer has included themes like Biophysics, Nucleic acid, Click chemistry and Stereochemistry in her DNA study.
Her work in the fields of Oligonucleotide, such as Phosphoramidite, overlaps with other areas such as Alkyne.
Her research in Combinatorial chemistry intersects with topics in Yield, Triazole, Organic chemistry, Azide and Polymerase.
Her work in Biochemistry addresses subjects such as Molecular biology, which are connected to disciplines such as Transcription.
As a part of the same scientific study, Afaf H. El-Sagheer usually deals with the Nanotechnology, concentrating on Analyte and frequently concerns with Aptamer.
She most often published in these fields:
- DNA (82.82%)
- Oligonucleotide (73.13%)
- Combinatorial chemistry (43.61%)
What were the highlights of her more recent work (between 2019-2021)?
- Oligonucleotide (73.13%)
- DNA (82.82%)
- Nucleic acid (25.55%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Oligonucleotide, DNA, Nucleic acid, Combinatorial chemistry and Cell biology.
Her work deals with themes such as Computational biology, Nanotechnology and Click chemistry, which intersect with Oligonucleotide.
The DNA study combines topics in areas such as Biophysics, Fluorophore and Circular dichroism.
Her biological study deals with issues like RNA, which deal with fields such as Genome editing.
Her Combinatorial chemistry course of study focuses on Polymerase and Ligation and Chemical ligation.
Her Cell biology research is multidisciplinary, incorporating elements of Adipose tissue and Enhancer.
Between 2019 and 2021, her most popular works were:
- Dynamics of the 4D genome during in vivo lineage specification and differentiation. (18 citations)
- Dynamics of the 4D genome during in vivo lineage specification and differentiation. (18 citations)
- Getting DNA and RNA out of the dark with 2CNqA: a bright adenine analogue and interbase FRET donor. (5 citations)
In her most recent research, the most cited papers focused on:
Afaf H. El-Sagheer mostly deals with DNA, Oligonucleotide, Cleavage, Click chemistry and Computational biology.
Her DNA research incorporates themes from Förster resonance energy transfer, Biophysics, Nucleic acid and Fluorophore.
Her Nucleic acid study combines topics from a wide range of disciplines, such as RNA, Quantum yield and Uracil.
Her Cleavage study incorporates themes from Nucleotide, Endonuclease, Transcription activator-like effector nuclease, Stereochemistry and Small molecule.
Her Click chemistry research includes themes of Cleave and Phenanthroline.
Her Computational biology research also works with subjects such as
- Regulatory sequence that connect with fields like Chromosome conformation capture, Genome, Promoter and Chromatin,
- Human genetics that intertwine with fields like Gene expression.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
