What is he best known for?
The fields of study he is best known for:
- DNA
- Organic chemistry
- Enzyme
His scientific interests lie mostly in Nanotechnology, Biosensor, Nanoparticle, Inorganic chemistry and DNA.
His study in the field of Nanowire also crosses realms of Biofuel.
His research in Biosensor intersects with topics in Electrochemistry, Cyclic voltammetry, Polymerization, Analytical chemistry and Redox.
His biological study spans a wide range of topics, including Combinatorial chemistry and Multiplexing.
His Inorganic chemistry research incorporates themes from Ion selective electrode, Glass electrode, Palladium-hydrogen electrode, Reference electrode and Polypyrrole.
His DNA research is multidisciplinary, incorporating perspectives in Surface plasmon resonance and Silver nanoparticle.
His most cited work include:
- Carbon quantum dots and their applications (2272 citations)
- Progress in Exosome Isolation Techniques. (547 citations)
- A miniature biofuel cell. (395 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Inorganic chemistry, Biosensor, Nanotechnology, Electrochemistry and Detection limit.
His studies in Inorganic chemistry integrate themes in fields like Lithium, Cyclic voltammetry, Polypyrrole and Voltammetry.
His Biosensor study incorporates themes from Nucleic acid, Amperometry, DNA, Combinatorial chemistry and Redox.
His research links Peptide nucleic acid with Nanotechnology.
His Electrochemistry research is multidisciplinary, relying on both Polymerization, Polymer, Monolayer, Polymer chemistry and Chemical engineering.
His Detection limit study integrates concerns from other disciplines, such as Hanging mercury drop electrode, Catalysis and Stripping.
He most often published in these fields:
- Inorganic chemistry (32.86%)
- Biosensor (22.54%)
- Nanotechnology (20.19%)
What were the highlights of his more recent work (between 2013-2020)?
- Nanotechnology (20.19%)
- DNA (15.49%)
- Biochemistry (11.74%)
In recent papers he was focusing on the following fields of study:
Zhiqiang Gao spends much of his time researching Nanotechnology, DNA, Biochemistry, Molecular biology and Biosensor.
His work on Surface plasmon resonance is typically connected to Lower cost as part of general Nanotechnology study, connecting several disciplines of science.
The study incorporates disciplines such as Biophysics and Mutant in addition to DNA.
His work in the fields of Nucleic acid amplification technique, DNA methyltransferase activity, Thymine-DNA glycosylase and Carcinogenesis overlaps with other areas such as Glucose meter.
His Molecular biology course of study focuses on Nuclease and Detection limit and Deoxyribozyme.
In the subject of general Biosensor, his work in Glucose oxidase is often linked to Low toxicity, thereby combining diverse domains of study.
Between 2013 and 2020, his most popular works were:
- Carbon quantum dots and their applications (2272 citations)
- Progress in Exosome Isolation Techniques. (547 citations)
- Enzyme Mimics: Advances and Applications (141 citations)
In his most recent research, the most cited papers focused on:
- DNA
- Organic chemistry
- Enzyme
Zhiqiang Gao mostly deals with Nanotechnology, Biochemistry, Anode, Sodium and Plasmon.
His research on Nanotechnology often connects related areas such as Enzyme.
Zhiqiang Gao studied Sodium and Cobalt sulfide that intersect with Surface modification and Inorganic chemistry.
Zhiqiang Gao has researched Surface modification in several fields, including Carbon nanomaterials, Semiconductor quantum dots, Carbon Nanoparticles and Carbon quantum dots.
His work on Redox as part of general Inorganic chemistry study is frequently connected to Ascorbic acid, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His study on Plasmon also encompasses disciplines like
- Surface plasmon resonance, which have a strong connection to Etching,
- Photothermal therapy and related Nanoparticle,
- Nucleic acid detection which connect with DNA.
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.
