What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Polymer
- Oxygen
Maciej Radosz mainly focuses on Polymer, Polymer chemistry, Ionic liquid, Inorganic chemistry and Drug delivery.
His Polymer research is multidisciplinary, relying on both Liquid crystal and Viscosity, Work, Thermodynamics.
He interconnects Molecular simulation and Phase in the investigation of issues within Thermodynamics.
His Polymer chemistry study combines topics from a wide range of disciplines, such as Selectivity, Optoelectronics, Gas separation, Membrane and Atom-transfer radical-polymerization.
His biological study deals with issues like Sorption, which deal with fields such as Monomer, Polystyrene, Ion, Absorption and Desorption.
The Drug delivery study combines topics in areas such as In vitro, Biochemistry, Cancer cell, Cell biology and Pharmacology.
His most cited work include:
- New reference equation of state for associating liquids (1391 citations)
- Equation of state for small, large, polydisperse, and associating molecules (1179 citations)
- SAFT: Equation-of-State Solution Model for Associating Fluids (935 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Thermodynamics, Polymer chemistry, Polymer, Supercritical fluid and Copolymer.
In general Thermodynamics, his work in Equation of state is often linked to Perturbation theory linking many areas of study.
His Polymer chemistry research is multidisciplinary, incorporating perspectives in Cloud point, Atom-transfer radical-polymerization, Monomer, Propane and Styrene.
His research in Polymer intersects with topics in Poly ethylene, Sorption, Ionic liquid, Membrane and Analytical chemistry.
The study incorporates disciplines such as Micelle and Physical chemistry in addition to Copolymer.
His Statistical physics research includes themes of Chain and Molecule.
He most often published in these fields:
- Thermodynamics (30.11%)
- Polymer chemistry (25.57%)
- Polymer (21.59%)
What were the highlights of his more recent work (between 2008-2020)?
- Copolymer (15.34%)
- Micelle (8.52%)
- Polymer chemistry (25.57%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Copolymer, Micelle, Polymer chemistry, Polystyrene and Catalysis.
His biological study spans a wide range of topics, including Nanoparticle, Nanotechnology, Ethylene glycol, Drug and Solubility.
His Nanoparticle research is multidisciplinary, incorporating elements of Polymer and Amine gas treating.
His Polymer chemistry study integrates concerns from other disciplines, such as Polymerization, Solvent, Ionic polymerization, Chain transfer and Cobalt-mediated radical polymerization.
His Catalysis research includes elements of Desorption and Sorption.
His Propane study is concerned with the larger field of Thermodynamics.
Between 2008 and 2020, his most popular works were:
- Fabrication of micellar nanoparticles for drug delivery through the self-assembly of block copolymers (335 citations)
- Charge-Reversal Drug Conjugate for Targeted Cancer Cell Nuclear Drug Delivery (221 citations)
- Acid-Active Cell-Penetrating Peptides for in Vivo Tumor-Targeted Drug Delivery (215 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Oxygen
- Polymer
His primary areas of investigation include Drug delivery, Drug carrier, Pharmacology, Cancer cell and Nanotechnology.
Maciej Radosz has researched Drug delivery in several fields, including In vitro, Biochemistry and Cell biology.
In his research, Drug release, Cancer drugs, Internalization, Tumor penetration and Tumor cells is intimately related to Nanomedicine, which falls under the overarching field of Pharmacology.
Maciej Radosz has included themes like Dendrimer, Biophysics and Cytotoxicity in his Cancer cell study.
His studies deal with areas such as Camptothecin, Amide, Nuclear localization sequence, Endocytosis and Conjugate as well as Biophysics.
His study in Nanotechnology is interdisciplinary in nature, drawing from both Micelle and Drug.
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.
