What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Enzyme
- Anatomy
His primary scientific interests are in Anatomy, Hindlimb, Skeletal muscle, Physical medicine and rehabilitation and Electromyography.
His Hindlimb research includes elements of Lumbar Spinal Cord, CATS, Weight-bearing, Muscle fibre and Myosin.
His research in CATS intersects with topics in Carnivora and Treadmill.
Internal medicine and Endocrinology are the areas that his Skeletal muscle study falls under.
As a part of the same scientific family, V. R. Edgerton mostly works in the field of Physical medicine and rehabilitation, focusing on Spinal cord and, on occasion, Sensory system.
His biological study spans a wide range of topics, including Spaceflight and Gastrocnemius muscle.
His most cited work include:
- Metabolic profiles of three fiber types of skeletal muscle in guinea pigs and rabbits. (1138 citations)
- HINDLIMB MUSCLE FIBER POPULATIONS OF FIVE MAMMALS (987 citations)
- Muscle Architecture of the Human Lower Limb (756 citations)
What are the main themes of his work throughout his whole career to date?
V. R. Edgerton mostly deals with Anatomy, Internal medicine, Endocrinology, Skeletal muscle and Hindlimb.
His study in Anatomy is interdisciplinary in nature, drawing from both Electromyography and Spinal cord.
His work carried out in the field of Internal medicine brings together such families of science as Spaceflight and Oxidative phosphorylation.
His studies deal with areas such as ATPase, CATS, Succinate dehydrogenase, Atrophy and Myosin as well as Endocrinology.
The concepts of his Skeletal muscle study are interwoven with issues in Neuroscience and Isometric exercise.
V. R. Edgerton combines subjects such as Ankle and Lumbar Spinal Cord with his study of Hindlimb.
He most often published in these fields:
- Anatomy (51.22%)
- Internal medicine (39.43%)
- Endocrinology (38.21%)
What were the highlights of his more recent work (between 1995-2017)?
- Endocrinology (38.21%)
- Internal medicine (39.43%)
- Anatomy (51.22%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Endocrinology, Internal medicine, Anatomy, Skeletal muscle and Hindlimb.
His work carried out in the field of Endocrinology brings together such families of science as Bed rest and Isometric exercise.
His research in the fields of Muscle contraction, Senescence and Secretion overlaps with other disciplines such as Growth factor and Population.
The Anatomy study combines topics in areas such as Spaceflight, Succinate dehydrogenase and Spinal cord.
His biological study spans a wide range of topics, including Atrophy, Pathology, Myofibril, Myocyte and Myosin.
His Hindlimb study combines topics in areas such as Treadmill, Electromyography, Physical medicine and rehabilitation, Hindlimb Suspension and Weight-bearing.
Between 1995 and 2017, his most popular works were:
- Myonuclear domains in muscle adaptation and disease (400 citations)
- Locomotor capacity attributable to step training versus spontaneous recovery after spinalization in adult cats. (396 citations)
- Specific tension of human plantar flexors and dorsiflexors (323 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Enzyme
- Endocrinology
The scientist’s investigation covers issues in Hindlimb, Skeletal muscle, Anatomy, Physical medicine and rehabilitation and Spinal cord.
His Hindlimb research is multidisciplinary, incorporating elements of Lumbar Spinal Cord, Anesthesia, Muscle activity, Lumbosacral spinal cord and Afferent.
His Skeletal muscle study integrates concerns from other disciplines, such as Atrophy and Myosin.
His Soleus muscle, Tendon and Ankle study in the realm of Anatomy interacts with subjects such as Neural recruitment.
In the subject of general Physical medicine and rehabilitation, his work in Electromyography is often linked to In patient, thereby combining diverse domains of study.
His studies in Spinal cord integrate themes in fields like Neuromuscular activity, Wheel running and Weight-bearing.
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.
