What is he best known for?
The fields of study he is best known for:
- Gene
- Quantum mechanics
- Cancer
The scientist’s investigation covers issues in microRNA, Internal medicine, Mathematical analysis, Bioinformatics and Biomarker.
His research in microRNA intersects with topics in Real-time polymerase chain reaction and Disease, Pathology.
His work carried out in the field of Pathology brings together such families of science as Cancer and Gene silencing.
His studies deal with areas such as TaqMan, Endocrinology and Oncology as well as Internal medicine.
His Mathematical analysis research is multidisciplinary, relying on both Nabla symbol, Nonlinear system and Regular polygon.
Cheng Wang interconnects Framingham Risk Score and Gene expression profiling in the investigation of issues within Biomarker.
His most cited work include:
- Exogenous plant MIR168a specifically targets mammalian LDLRAP1: Evidence of cross-kingdom regulation by microRNA (663 citations)
- A five-microRNA signature identified from genome-wide serum microRNA expression profiling serves as a fingerprint for gastric cancer diagnosis (349 citations)
- A five-microRNA signature identified from genome-wide serum microRNA expression profiling serves as a fingerprint for gastric cancer diagnosis (349 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Internal medicine, Cancer research, Nonlinear system, Chemical engineering and Mathematical analysis.
The Internal medicine study combines topics in areas such as Endocrinology, microRNA and Oncology.
Cheng Wang combines subjects such as Biomarker, TaqMan and Pathology with his study of microRNA.
Cheng Wang works in the field of Oncology, focusing on Lung cancer in particular.
His Cancer research research incorporates elements of Carcinogenesis, Cancer, Gene and Cell growth.
In his work, Norm, Energy, Logarithm, Cahn–Hilliard equation and Numerical analysis is strongly intertwined with Applied mathematics, which is a subfield of Nonlinear system.
He most often published in these fields:
- Internal medicine (12.92%)
- Cancer research (10.14%)
- Nonlinear system (8.06%)
What were the highlights of his more recent work (between 2019-2021)?
- Applied mathematics (7.36%)
- Chemical engineering (7.92%)
- Nonlinear system (8.06%)
In recent papers he was focusing on the following fields of study:
Cheng Wang focuses on Applied mathematics, Chemical engineering, Nonlinear system, Catalysis and Cancer research.
His work deals with themes such as Logarithm, Cahn–Hilliard equation, Energy and Convexity, which intersect with Applied mathematics.
His Chemical engineering research focuses on subjects like Electrochemistry, which are linked to Optoelectronics.
His work is dedicated to discovering how Nonlinear system, Dissipation are connected with Conservation of mass and other disciplines.
His study looks at the intersection of Catalysis and topics like Electrocatalyst with Oxygen evolution, Nanotechnology and Nanorod.
The study incorporates disciplines such as Carcinogenesis, Cancer, Gene, Cell growth and YAP1 in addition to Cancer research.
Between 2019 and 2021, his most popular works were:
- Ultra-high open-circuit voltage of tin perovskite solar cells via an electron transporting layer design. (97 citations)
- Ultra-high open-circuit voltage of tin perovskite solar cells via an electron transporting layer design. (97 citations)
- Three-dimensional open CoMoOx/CoMoSx/CoSx nanobox electrocatalysts for efficient oxygen evolution reaction (47 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Quantum mechanics
- Cancer
Cheng Wang mostly deals with Catalysis, Applied mathematics, Nonlinear system, Nanotechnology and Electrocatalyst.
His research integrates issues of Nanosheet, Chemical engineering, Nanostructure, Doping and Electrochemistry in his study of Catalysis.
His biological study spans a wide range of topics, including Discretization, Logarithm, Fourier transform and Energy.
His Nonlinear system study incorporates themes from Conservation of mass, Energy functional, Norm, Dissipation and Numerical analysis.
The various areas that Cheng Wang examines in his Nanotechnology study include Hydrogen evolution, Energy transformation, Oxygen evolution and Water splitting.
His study on Exponential function is covered under Mathematical analysis.
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.
