scispace - formally typeset
M

Michael Kjaer

Researcher at University of Copenhagen

Publications -  516
Citations -  32647

Michael Kjaer is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Tendon & Skeletal muscle. The author has an hindex of 100, co-authored 494 publications receiving 29502 citations. Previous affiliations of Michael Kjaer include Health Science University & Frederiksberg Hospital.

Papers
More filters
Journal ArticleDOI

Differential glucose uptake in quadriceps and other leg muscles during one-legged dynamic submaximal knee-extension exercise.

TL;DR: It is suggested that posterior thigh muscles and lower leg muscles are more active than hitherto thought even during this moderate exercise intensity, and suggests that muscle activity is not equal between quadriceps muscles in this exercise model.
Journal ArticleDOI

In vitro tendon tissue development from human fibroblasts demonstrates collagen fibril diameter growth associated with a rise in mechanical strength

TL;DR: The present study demonstrates that 3D tendon constructs can be formed by isolated human tendon fibroblasts, and when these constructs are subjected to static self‐generated tension, the fibrils will grow in size and strength approaching that of adult human tendon in vivo.
Journal ArticleDOI

Influence of Oral Contraceptive Use on Adaptations to Resistance Training.

TL;DR: Use of OCs during a 10-week supervised progressive resistance training program was associated with a trend toward a greater increase in muscle mass and a significantly greater increased in type I muscle fiber area compared to controls, yet, use of OC's did not influence the overall increase in Muscle strength related to training.
Journal ArticleDOI

Integrated method for quantitative morphometry and oxygen transport modeling in striated muscle.

TL;DR: An integrated package that identifies optimal protocols for identification of important input elements, processing of digitized images with semiautomated routines, and incorporation of these data into a mathematical modeling framework with computed output visualized as the tissue partial pressure of O2 (Po2) distribution across a biopsy sample is presented.