What is he best known for?
The fields of study he is best known for:
- Composite material
- Enzyme
- Biochemistry
His primary areas of study are Biophysics, Cell adhesion, Catch bond, Cell biology and Ligand.
The concepts of his Biophysics study are interwoven with issues in Selectin, Plasma protein binding, Stereochemistry and Immunology.
The Cell adhesion study combines topics in areas such as Kinetics, Receptor, Integrin and Cell adhesion molecule.
He works mostly in the field of Integrin, limiting it down to concerns involving Cytoskeleton and, occasionally, Mechanotransduction, Clutch, Signal transducing adaptor protein and Rigidity.
The various areas that Cheng Zhu examines in his Catch bond study include Leukocyte Rolling, Molecular dynamics, Hinge, Protein structure and Slip.
Cheng Zhu interconnects Synapse, Synapse formation, Neuroscience and Antigen receptor in the investigation of issues within Cell biology.
His most cited work include:
- Direct observation of catch bonds involving cell-adhesion molecules (750 citations)
- Demonstration of catch bonds between an integrin and its ligand (484 citations)
- The kinetics of two-dimensional TCR and pMHC interactions determine T-cell responsiveness (356 citations)
What are the main themes of his work throughout his whole career to date?
Biophysics, Cell biology, Integrin, Cell adhesion and Receptor are his primary areas of study.
His Biophysics study combines topics in areas such as Adhesion, Selectin, Plasma protein binding, Biochemistry and Kinetics.
His Cell biology research incorporates themes from Cytoskeleton and T-cell receptor.
His work deals with themes such as Ligand, Platelet, Intercellular Adhesion Molecule-1, Extracellular matrix and Biological membrane, which intersect with Integrin.
His work in Cell adhesion is not limited to one particular discipline; it also encompasses Cell adhesion molecule.
His biological study spans a wide range of topics, including Cell, Antibody and Molecular biology.
He most often published in these fields:
- Biophysics (34.40%)
- Cell biology (28.01%)
- Integrin (19.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Biophysics (34.40%)
- Composite material (8.16%)
- Cracking (4.26%)
In recent papers he was focusing on the following fields of study:
His main research concerns Biophysics, Composite material, Cracking, Geotechnical engineering and Mechanotransduction.
His Biophysics research is multidisciplinary, relying on both Integrin, Cytoskeleton, Actin, Binding site and Biological membrane.
His studies deal with areas such as Signal transduction and Function as well as Mechanotransduction.
His research integrates issues of Cell surface receptor, Cell and Cell adhesion in his study of Signal transduction.
His study in Cell adhesion is interdisciplinary in nature, drawing from both Effector and Receptor Cross-Talk.
His Cell biology study incorporates themes from Innate immune system, Ligand and Glycosphingolipid.
Between 2018 and 2021, his most popular works were:
- Mechano-regulation of Peptide-MHC Class I Conformations Determines TCR Antigen Recognition. (36 citations)
- Mechanosensing through immunoreceptors. (31 citations)
- Three-dimensional characterization of desiccation cracking behavior of compacted clayey soil using X-ray computed tomography (30 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Enzyme
- Biochemistry
His primary scientific interests are in Signal transduction, Cracking, Cell biology, Biophysics and Function.
Cheng Zhu interconnects Integrin, Cell adhesion, Affinity maturation and Biological membrane in the investigation of issues within Signal transduction.
His Cell adhesion research includes themes of Effector, Neuroscience and Receptor Cross-Talk.
His research integrates issues of Crystallite, Optics and Deformation in his study of Cracking.
His studies deal with areas such as T cell, Immune system and Antigen as well as Cell biology.
The various areas that Cheng Zhu examines in his Biophysics study include Acquired immune system, Cell surface receptor and Antigen recognition.
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.
