What is he best known for?
The fields of study he is best known for:
- Composite material
- Surgery
- Anatomy
His primary scientific interests are in Anatomy, Cartilage, Biomechanics, Composite material and Ultimate tensile strength.
The various areas that Van C. Mow examines in his Anatomy study include Biophysics, Matrix and Material properties.
The study incorporates disciplines such as Joint, Viscoelasticity, Biomedical engineering and Creep in addition to Cartilage.
His studies deal with areas such as Drag, Fracture fixation, Meniscus and Joint contact as well as Biomechanics.
As a member of one scientific family, Van C. Mow mostly works in the field of Composite material, focusing on Interstitial fluid and, on occasion, Contact mechanics and Volume fraction.
Van C. Mow has researched Ultimate tensile strength in several fields, including Lumbar, Stiffness and Knee Joint.
His most cited work include:
- Biphasic Creep and Stress-Relaxation of Articular-Cartilage in Compression - Theory and Experiments (1981 citations)
- A standardized method for the assessment of shoulder function (1150 citations)
- A triphasic theory for the swelling and deformation behaviors of articular cartilage. (891 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Cartilage, Anatomy, Biomedical engineering, Articular cartilage and Composite material.
His biological study spans a wide range of topics, including Joint, Biophysics and Matrix.
His study in Anatomy is interdisciplinary in nature, drawing from both Ultimate tensile strength and Femur.
His work deals with themes such as Young's modulus, Strain rate and Stiffness, which intersect with Ultimate tensile strength.
His Biomedical engineering research integrates issues from Lubrication and Fluid dynamics, Mechanics.
He works mostly in the field of Viscoelasticity, limiting it down to topics relating to Creep and, in certain cases, Indentation.
He most often published in these fields:
- Cartilage (33.57%)
- Anatomy (31.82%)
- Biomedical engineering (21.68%)
What were the highlights of his more recent work (between 2002-2014)?
- Anatomy (31.82%)
- Cartilage (33.57%)
- Biomedical engineering (21.68%)
In recent papers he was focusing on the following fields of study:
Anatomy, Cartilage, Biomedical engineering, Articular cartilage and Biomechanics are his primary areas of study.
The Anatomy study combines topics in areas such as Joint and Artificial joints.
His Cartilage research is multidisciplinary, incorporating elements of Matrix and Shear modulus.
His Biomedical engineering research incorporates themes from Biomechanical Phenomena and Indentation.
His Biomechanics research is multidisciplinary, relying on both Quantitative anatomy, Total knee replacement and Bone tissue engineering.
His work investigates the relationship between Scaffold and topics such as Shear that intersect with problems in Viscoelasticity.
Between 2002 and 2014, his most popular works were:
- Structure and function of articular cartilage and meniscus (360 citations)
- Basic orthopaedic biomechanics and mechano-biology (285 citations)
- Tissue engineering and developmental biology: going biomimetic. (217 citations)
In his most recent research, the most cited papers focused on:
- Surgery
- Composite material
- Internal medicine
His main research concerns Biomedical engineering, Cartilage, Tissue engineering, Anatomy and Biomechanics.
In general Cartilage, his work in Chondrocyte is often linked to Aggregate modulus linking many areas of study.
His Tissue engineering study combines topics in areas such as Developmental biology and Engineering ethics.
His Anatomy study focuses mostly on Cadaver, Cadaveric spasm, Rotator cuff and Meniscus.
His Biomechanical Phenomena study, which is part of a larger body of work in Biomechanics, is frequently linked to Potential impact, bridging the gap between disciplines.
His Structural engineering study integrates concerns from other disciplines, such as Composite material and Elastic modulus.
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.
