What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Quantum mechanics
- Molecule
His main research concerns Computational chemistry, Ab initio, Crystallography, Hydrogen bond and Tautomer.
The various areas that he examines in his Computational chemistry study include Cytosine, Molecule, Nucleobase and Proton.
His Ab initio research integrates issues from Electronic correlation, Stacking, Ab initio quantum chemistry methods and Physical chemistry.
His study in Crystallography is interdisciplinary in nature, drawing from both Covalent bond, Intermolecular force, Atoms in molecules, Base pair and Binding energy.
Jerzy Leszczynski interconnects Hydrogen, Delocalized electron, Dimer, Stereochemistry and Conformational isomerism in the investigation of issues within Hydrogen bond.
His Tautomer research is multidisciplinary, incorporating elements of Spectral line, Protonation, Reaction rate constant and Excited state.
His most cited work include:
- COMPUTATIONAL CHEMISTRY: Reviews of Current Trends (720 citations)
- Electronic properties, hydrogen bonding, stacking, and cation binding of DNA and RNA bases (335 citations)
- Cooperativity in hydrogen-bonded interactions: ab initio and "atoms in molecules" analyses. (233 citations)
What are the main themes of his work throughout his whole career to date?
Computational chemistry, Molecule, Ab initio, Crystallography and Stereochemistry are his primary areas of study.
His research in Computational chemistry tackles topics such as Tautomer which are related to areas like Proton.
His research integrates issues of Electronic correlation, Nucleobase, Cytosine, Post-Hartree–Fock and Molecular physics in his study of Ab initio.
His study on Crystallography also encompasses disciplines like
- Hydrogen bond which is related to area like Intramolecular force,
- Inorganic chemistry which connect with Adsorption.
His work in the fields of Stereochemistry, such as Quantitative structure–activity relationship, overlaps with other areas such as Guanine.
His study in Quantitative structure–activity relationship is interdisciplinary in nature, drawing from both Representation, Test set and Solubility.
He most often published in these fields:
- Computational chemistry (36.68%)
- Molecule (24.07%)
- Ab initio (22.92%)
What were the highlights of his more recent work (between 2014-2021)?
- Quantitative structure–activity relationship (12.61%)
- Computational chemistry (36.68%)
- Density functional theory (13.32%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Quantitative structure–activity relationship, Computational chemistry, Density functional theory, Nanotechnology and Biological system.
The study incorporates disciplines such as Nanoparticle, Organic chemistry, Solubility and Computational biology in addition to Quantitative structure–activity relationship.
His Computational chemistry research incorporates themes from Fullerene, Ab initio, Molecule, Transition state and Binding energy.
His Density functional theory research integrates issues from Acceptor, Crystallography, Inorganic chemistry, Electron transfer and Solar cell.
His Inorganic chemistry research incorporates elements of Proton NMR, Adsorption and Hydrogen bond.
His Nanotechnology study incorporates themes from Nano- and Genotoxicity.
Between 2014 and 2021, his most popular works were:
- Genotoxicity of metal oxide nanomaterials: review of recent data and discussion of possible mechanisms (113 citations)
- Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: hints from nano-QSAR studies. (97 citations)
- Zeta Potential for Metal Oxide Nanoparticles: A Predictive Model Developed by a Nano-Quantitative Structure–Property Relationship Approach (89 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Quantum mechanics
- Molecule
His primary scientific interests are in Quantitative structure–activity relationship, Nanotechnology, Biological system, Nanoparticle and Nanomaterials.
His Quantitative structure–activity relationship research is included under the broader classification of Stereochemistry.
His Stereochemistry research includes elements of Logarithm, Correlation coefficient and Dihydrofolate reductase.
His Nanotechnology research is multidisciplinary, incorporating perspectives in Virtual screening, Toxicity and Energy conversion efficiency.
The concepts of his Biological system study are interwoven with issues in Gap filling, Monte Carlo method and Metal oxide nanoparticles.
His work in Organic chemistry covers topics such as Density functional theory which are related to areas like Inorganic chemistry.
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.
