Genetics And Aging, And Longevity In Model Organisms
2 researchers across 2 institutions
Research in genetics and aging explores the fundamental biological processes that influence lifespan and healthspan across different organisms. Scientists investigate the genetic and molecular mechanisms underlying aging, including cellular senescence, DNA repair, and the role of specific genes and pathways in determining longevity. Studies often utilize model organisms, such as fruit flies and nematodes, to dissect complex aging phenotypes and identify factors that can promote healthy aging. This work also examines how metabolic processes and mitochondrial function are linked to aging and age-related diseases.
This research holds relevance for Arkansas by informing strategies to address public health challenges associated with an aging population. Understanding the genetic underpinnings of longevity and age-related conditions can contribute to developing interventions and public health initiatives. Furthermore, insights gained from studying aging in model organisms can have implications for animal agriculture and veterinary science within the state, potentially impacting livestock health and productivity.
The field draws upon and contributes to a range of disciplines, including bioinformatics, genomics, molecular biology, and metabolism. This interdisciplinary approach allows for a comprehensive understanding of aging, with collaborations extending across institutions within Arkansas to leverage diverse expertise and resources.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Robert Williams | Arkansas State University | 96 | 37,533 | ||
| Colten Nichols | UA Div. of Agriculture | 0 | 0 |
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 Howard Hughes Medical Institute 2,519
- 2 Harvard University 2,321
- 3 University of Washington 1,244
- 4 Stanford University 1,115
- 5 University of California, San Francisco 1,018