Skeletal Muscle Physiology And Disorders
3 researchers across 1 institution
Skeletal muscle physiology and disorders research investigates the fundamental mechanisms governing muscle function, adaptation, and disease. Studies explore how muscle cells develop, grow, and respond to various stimuli, including exercise, aging, and injury. Methodologies encompass molecular and cellular biology, biomechanics, and advanced imaging techniques to examine muscle structure, metabolism, and contractile properties. This area also focuses on understanding the pathological processes underlying muscle wasting conditions, such as sarcopenia and muscular dystrophies, and identifying potential therapeutic interventions.
This research holds relevance for Arkansas by addressing public health concerns related to aging populations and chronic disease. Understanding muscle health is crucial for maintaining mobility and independence in older adults, a growing demographic in the state. Furthermore, research into muscle function and repair can inform strategies for rehabilitation following injuries or surgeries, potentially benefiting the state's healthcare sector and workforce productivity.
Interdisciplinary collaborations extend this research into areas such as tissue engineering, regenerative medicine, and cancer treatment. The work engages with molecular biology, stem cell research, and advanced sequencing technologies, fostering a broad approach to understanding and treating skeletal muscle conditions.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Christofer Baldwin | University of Arkansas | 2 | 5 | ||
| Jeffery Wolchok | University of Arkansas | 1 | 21 | Grant PI | |
| Kathryn Miller Priest | University of Arkansas | 1 | 4 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 Harvard University 1,057
- 2 Mayo Clinic 927
- 3 The University of Texas Southwestern Medical Center 856
- 4 University of California San Diego 821
- 5 Stanford University 799