What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Catalysis
- Alkene
Miguel Yus focuses on Organic chemistry, Catalysis, Medicinal chemistry, Copper and Electrophile.
Alkylation, Hydrolysis, Nucleophile, Reagent and Halide are the subjects of his Organic chemistry studies.
The study incorporates disciplines such as Combinatorial chemistry, Nanoparticle, Naphthalene and Lithium in addition to Catalysis.
His Medicinal chemistry research incorporates themes from Redox, Stereochemistry, Aldehyde and Reactivity.
His studies in Copper integrate themes in fields like Nanotechnology and Click chemistry.
His Electrophile research is multidisciplinary, incorporating perspectives in Hydrogen and Amine gas treating.
His most cited work include:
- Hydroamination: direct addition of amines to alkenes and alkynes. (1330 citations)
- Transition-metal-catalyzed addition of heteroatom-hydrogen bonds to alkynes. (1139 citations)
- Hydrogen autotransfer in the N-alkylation of amines and related compounds using alcohols and amines as electrophiles. (787 citations)
What are the main themes of his work throughout his whole career to date?
Miguel Yus mostly deals with Organic chemistry, Catalysis, Medicinal chemistry, Lithium and Electrophile.
His Organic chemistry and Reagent, Hydrolysis, Enantioselective synthesis, Organolithium compounds and Aliphatic compound investigations all form part of his Organic chemistry research activities.
The Catalysis study which covers Nanoparticle that intersects with Nickel.
Miguel Yus focuses mostly in the field of Medicinal chemistry, narrowing it down to matters related to Stereoselectivity and, in some cases, Stereochemistry.
His Lithium study integrates concerns from other disciplines, such as Inorganic chemistry, Ketone and Chloride.
His research on Electrophile frequently connects to adjacent areas such as Regioselectivity.
He most often published in these fields:
- Organic chemistry (60.61%)
- Catalysis (42.29%)
- Medicinal chemistry (28.46%)
What were the highlights of his more recent work (between 2010-2021)?
- Organic chemistry (60.61%)
- Catalysis (42.29%)
- Medicinal chemistry (28.46%)
In recent papers he was focusing on the following fields of study:
Organic chemistry, Catalysis, Medicinal chemistry, Combinatorial chemistry and Enantioselective synthesis are his primary areas of study.
His study in Reagent, Alkylation, Regioselectivity, Transfer hydrogenation and Primary is carried out as part of his Organic chemistry studies.
His study in Alkylation is interdisciplinary in nature, drawing from both Electrophile and Nucleophile.
His work on Palladium as part of general Catalysis study is frequently linked to Magnetite, therefore connecting diverse disciplines of science.
His Medicinal chemistry research focuses on Stereoselectivity and how it connects with Piperidine.
Miguel Yus has included themes like Heterogeneous catalysis, Nanoparticle and Halide in his Copper study.
Between 2010 and 2021, his most popular works were:
- Catalytic enantioselective allylation of carbonyl compounds and imines. (373 citations)
- Diastereoselective allylation of carbonyl compounds and imines: application to the synthesis of natural products. (235 citations)
- Nickel nanoparticles in hydrogen transfer reactions (230 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Catalysis
- Alkene
His primary scientific interests are in Organic chemistry, Catalysis, Copper, Medicinal chemistry and Combinatorial chemistry.
His Organic chemistry study focuses mostly on Alkylation, Transfer hydrogenation, Nucleophile, Ligand and Efficient catalyst.
The Catalysis study combines topics in areas such as Reagent and Polymer chemistry.
His Copper research incorporates elements of Nanoparticle, Nanotechnology and Halide.
In general Medicinal chemistry, his work in Substituent is often linked to Indium-mediated allylation linking many areas of study.
Miguel Yus interconnects Microwave assisted, Piperidine, Formal synthesis and Stereoisomerism in the investigation of issues within Combinatorial 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.
