What is she best known for?
The fields of study she is best known for:
- Polymer
- Organic chemistry
- Enzyme
Georgina K. Such spends much of her time researching Nanotechnology, Polymer, Drug carrier, Click chemistry and Thin film.
Her Nanotechnology research is multidisciplinary, incorporating elements of One-Step and Antitumor activity.
Her Polymer research incorporates elements of Optoelectronics, Optical switch, Thermal fade and Photochromism.
Her Drug carrier research is multidisciplinary, incorporating perspectives in Nanocapsules and Polymethacrylic Acids.
The Click chemistry study combines topics in areas such as Covalent bond, Chemical engineering, Silicon dioxide and Colloidal silica.
The study incorporates disciplines such as Adsorption, Metal-organic framework, Coating and Aqueous solution in addition to Thin film.
Her most cited work include:
- One-Step Assembly of Coordination Complexes for Versatile Film and Particle Engineering (839 citations)
- Next generation, sequentially assembled ultrathin films: beyond electrostatics (380 citations)
- Assembly of ultrathin polymer multilayer films by click chemistry (311 citations)
What are the main themes of her work throughout her whole career to date?
Georgina K. Such mainly investigates Polymer, Nanotechnology, Polymer chemistry, Drug delivery and Click chemistry.
Her Polymer research includes elements of Self-assembly, Covalent bond, Chemical engineering and Photochromism.
Her research investigates the link between Photochromism and topics such as Radical polymerization that cross with problems in End-group and Functional polymers.
In general Nanotechnology study, her work on Drug carrier, Thin film and Layer by layer often relates to the realm of Gene delivery, thereby connecting several areas of interest.
Her Polymer chemistry study incorporates themes from Ethylene glycol, Methacrylate, Moiety, Methacrylic acid and Coating.
Her Drug delivery study combines topics in areas such as Polymersome, Biophysics, Liposome and Controlled release.
She most often published in these fields:
- Polymer (51.40%)
- Nanotechnology (39.25%)
- Polymer chemistry (28.97%)
What were the highlights of her more recent work (between 2016-2021)?
- Nanoparticle (18.69%)
- Endosome (6.54%)
- Nanotechnology (39.25%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Nanoparticle, Endosome, Nanotechnology, Polymer and Ethylene glycol.
Her study in Nanoparticle is interdisciplinary in nature, drawing from both Fourier transform infrared spectroscopy, Cell and Biophysics.
Her research integrates issues of Computational biology and Drug carrier in her study of Endosome.
Her studies in Nanotechnology integrate themes in fields like Hydrogen and Cytosolic delivery.
Georgina K. Such has researched Polymer in several fields, including In vitro and Drug delivery.
Georgina K. Such works mostly in the field of Ethylene glycol, limiting it down to topics relating to Polymer chemistry and, in certain cases, Copolymer, Radical polymerization, Conjugated system and Raft, as a part of the same area of interest.
Between 2016 and 2021, her most popular works were:
- The Endosomal Escape of Nanoparticles: Toward More Efficient Cellular Delivery (99 citations)
- Nanoescapology: progress toward understanding the endosomal escape of polymeric nanoparticles (77 citations)
- pH-Responsive Polymer Nanoparticles for Drug Delivery (76 citations)
In her most recent research, the most cited papers focused on:
- Polymer
- Enzyme
- Organic chemistry
Her scientific interests lie mostly in Endosome, Nanoparticle, Nanotechnology, Cytosolic delivery and Gene delivery.
Her research ties Drug carrier and Endosome together.
The various areas that Georgina K. Such examines in her Nanoparticle study include Biophysics, Drug delivery, Polymer, Enzyme and Redox.
Her Silica nanoparticles study in the realm of Nanotechnology connects with subjects such as Human immunodeficiency virus.
Her Cytosolic delivery study frequently intersects with other fields, such as Polymeric nanoparticles.
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.
