What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Quantum mechanics
- Catalysis
His main research concerns Chemical engineering, Zeolite, Nanotechnology, Catalysis and Nanoparticle.
His Chemical engineering study combines topics in areas such as Molecular sieve, Chromatography, Mineralogy, Organic chemistry and Permeation.
His Zeolite research is multidisciplinary, incorporating perspectives in Hydrothermal synthesis, Pervaporation and Scanning electron microscope.
His Colloidal gold study in the realm of Nanotechnology interacts with subjects such as Bioorthogonal chemistry.
His studies deal with areas such as Inorganic chemistry and Hydrocarbon as well as Catalysis.
The study incorporates disciplines such as Nanocomposite, Drug delivery and Superparamagnetism in addition to Nanoparticle.
His most cited work include:
- Magnetic nanoparticles for drug delivery (1154 citations)
- Biodiesel from sunflower oil by using activated calcium oxide (607 citations)
- A Magnetically Triggered Composite Membrane for On-Demand Drug Delivery (287 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Chemical engineering, Catalysis, Nanotechnology, Zeolite and Nanoparticle.
His work deals with themes such as Chromatography, Organic chemistry, Adsorption and Permeation, which intersect with Chemical engineering.
His studies in Catalysis integrate themes in fields like Inorganic chemistry and Methane.
His Zeolite research incorporates elements of Microreactor, Pervaporation and Molecular sieve.
His biological study spans a wide range of topics, including Nanocomposite, Drug delivery and Aerosol.
His Dehydrogenation research also works with subjects such as
- Butane and related Hydrocarbon,
- Propane which connect with Selectivity.
He most often published in these fields:
- Chemical engineering (43.42%)
- Catalysis (35.26%)
- Nanotechnology (22.11%)
What were the highlights of his more recent work (between 2017-2021)?
- Chemical engineering (43.42%)
- Catalysis (35.26%)
- Nanotechnology (22.11%)
In recent papers he was focusing on the following fields of study:
Chemical engineering, Catalysis, Nanotechnology, Nanoparticle and Microwave are his primary areas of study.
His Chemical engineering study integrates concerns from other disciplines, such as Photocatalysis, Deposition, Nucleation, Mesoporous material and Space velocity.
The concepts of his Catalysis study are interwoven with issues in Methane and Microwave assisted.
His Nanotechnology research is multidisciplinary, incorporating elements of Heterojunction, Transition metal and Palladium.
The various areas that Jesus Santamaria examines in his Nanoparticle study include Molecule, Nanomaterials, Dispersity and Sonication.
His Microwave research focuses on subjects like Dehydrogenation, which are linked to Isobutane.
Between 2017 and 2021, his most popular works were:
- Exosome origin determines cell targeting and the transfer of therapeutic nanoparticles towards target cells (64 citations)
- Cancer-derived exosomes loaded with ultrathin palladium nanosheets for targeted bioorthogonal catalysis (50 citations)
- Efficient encapsulation of theranostic nanoparticles in cell-derived exosomes: leveraging the exosomal biogenesis pathway to obtain hollow gold nanoparticle-hybrids. (28 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Organic chemistry
- Catalysis
His scientific interests lie mostly in Catalysis, Chemical engineering, Methane, Microwave and Zeolite.
His Catalysis research is mostly focused on the topic Selectivity.
His study in Chemical engineering is interdisciplinary in nature, drawing from both Radiance and Space velocity.
His Methane study incorporates themes from Benzene and Hydrocarbon.
His Microwave study combines topics from a wide range of disciplines, such as Carbon dioxide reforming, Perovskite, Strontium titanate and Anatase.
His specific area of interest is Zeolite, where he studies ZSM-5.
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.
