What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Catalysis
- Hydrogen
Richard D. Adams mainly focuses on Cluster, Crystallography, Stereochemistry, Molecule and Catalysis.
His Cluster research is multidisciplinary, relying on both Osmium, Ruthenium, Platinum, Reactivity and Metal.
His work in Crystallography addresses subjects such as Molecular orbital, which are connected to disciplines such as Solvent.
His studies in Stereochemistry integrate themes in fields like Rhodium, Ligand, Medicinal chemistry and Base.
His Catalysis research includes elements of Photochemistry, Nanoparticle and Polymer chemistry.
His Crystal structure research focuses on subjects like X-ray crystallography, which are linked to Inorganic compound.
His most cited work include:
- Dynamic Nuclear Magnetic Resonance Spectroscopy (473 citations)
- Catalysis by di- and polynuclear metal cluster complexes (256 citations)
- Unusual structural and magnetic resonance properties of dicyclopentadienylhexacarbonyldichromium (129 citations)
What are the main themes of his work throughout his whole career to date?
Richard D. Adams mainly focuses on Crystallography, Stereochemistry, Cluster, Molecule and Crystal structure.
His Crystallography study deals with Platinum intersecting with Hydrogen.
His Stereochemistry research incorporates elements of Osmium, Medicinal chemistry, Inorganic compound, Ligand and Carbene.
His Medicinal chemistry research is multidisciplinary, incorporating perspectives in Yield, Ring, Rhenium and Sulfur.
His work carried out in the field of Cluster brings together such families of science as Characterization, Polymer chemistry, Photochemistry, Reactivity and Catalysis.
His research investigates the connection between Crystal structure and topics such as X-ray crystallography that intersect with issues in Group 2 organometallic chemistry.
He most often published in these fields:
- Crystallography (42.84%)
- Stereochemistry (41.87%)
- Cluster (30.72%)
What were the highlights of his more recent work (between 2009-2021)?
- Medicinal chemistry (23.55%)
- Crystallography (42.84%)
- Ligand (25.76%)
In recent papers he was focusing on the following fields of study:
Richard D. Adams focuses on Medicinal chemistry, Crystallography, Ligand, Cluster and Stereochemistry.
His Medicinal chemistry study also includes
- Yield which connect with Ring and Solvent,
- Rhenium which connect with Platinum.
His Crystallography research incorporates themes from Iridium and Metal.
The concepts of his Ligand study are interwoven with issues in Proton NMR, Osmium, Aryne and Double bond.
As part of one scientific family, he deals mainly with the area of Cluster, narrowing it down to issues related to the Bimetallic strip, and often Nanoparticle.
In his study, which falls under the umbrella issue of Stereochemistry, Molecule is strongly linked to Benzene.
Between 2009 and 2021, his most popular works were:
- Tetrarhena-heterocycle from the palladium-catalyzed dimerization of Re2(CO)8(μ-SbPh2)(μ-H) exhibits an unusual host-guest behavior. (126 citations)
- Ruthenium-tin cluster complexes and their applications as bimetallic nanoscale heterogeneous hydrogenation catalysts. (41 citations)
- Cage Opening of a Carborane Ligand by Metal Cluster Complexes. (35 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Catalysis
- Hydrogen
His primary areas of investigation include Stereochemistry, Medicinal chemistry, Ligand, Crystallography and Cluster.
The Stereochemistry study combines topics in areas such as Oxidative addition, Aryl, Hexane and Benzene.
His Medicinal chemistry study incorporates themes from Yield, Osmium and Inorganic chemistry, Rhenium.
His studies deal with areas such as Hydrogen, Bismuth and Ring as well as Ligand.
He usually deals with Crystallography and limits it to topics linked to Metal and Carborane.
His study in Cluster is interdisciplinary in nature, drawing from both Bimetallic strip, Crystal structure, Photochemistry and Ruthenium.
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.
