Disease Models, Animal
618 researchers across 13 institutions
Researchers in Arkansas investigate how diseases develop and progress using animal models. This work involves creating and utilizing various animal systems to understand the biological mechanisms underlying health conditions. Studies examine disease onset, progression, and response to potential interventions, employing techniques from genetics, immunology, and physiology. Specific areas of focus include modeling infectious diseases, chronic conditions like cardiovascular disease and metabolic disorders, and neurological conditions. The research aims to identify key molecular pathways, cellular changes, and physiological alterations that contribute to disease states.
This research holds particular relevance for Arkansas's agricultural economy, which relies heavily on animal health, and its public health challenges, including prevalent chronic diseases. Understanding disease mechanisms in animal models can inform strategies for preventing and treating conditions that affect both livestock and human populations in the state. Furthermore, the state's diverse ecosystems and potential environmental exposures necessitate research into how these factors may influence disease development, making animal models crucial for assessing risks and developing mitigation strategies.
This field draws upon and contributes to numerous related disciplines, including molecular biology, immunology, pharmacology, and toxicology. Engagement spans multiple Arkansas institutions, fostering a collaborative environment for advancing knowledge in disease pathogenesis and therapeutic development.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Andrew N. J. McKenzie | University of Arkansas | 113 | 46,436 | High Impact | |
| Peter S. Jensen | UAMS | 108 | 38,550 | High Impact | |
| Daniel W. Armstrong | UAMS | 98 | 39,657 | High Impact | |
| Robert W. Williams | Arkansas State University | 96 | 37,533 | ||
| John D. Shaughnessy | UAMS | 88 | 31,240 | High Impact | |
| Edward T.H. Yeh | UAMS | 87 | 29,010 | High Impact | |
| Edward D. Hall | Harding University Main Campus | 86 | 23,277 | High Impact | |
| Igor P. Pogribny | NCTR | 76 | 18,075 | ARA High Impact | |
| Frederick A. Beland | NCTR | 70 | 19,100 | High Impact | |
| Stacie M. Jones | UAMS | 69 | 21,441 | High Impact | |
| Michael Potter | University of Arkansas | 67 | 15,492 | ||
| Intawat Nookaew | UAMS | 57 | 18,354 | High Impact | |
| Peter A. Crooks | UAMS | 57 | 14,934 | ARA High Impact | |
| Mark S. Smeltzer | UAMS | 55 | 11,118 | ARA Grant PI High Impact | |
| Vladimir P. Zharov | UAMS | 55 | 12,330 | High Impact | |
| Neil B. Ingels | University of Arkansas | 53 | 8,992 | High Impact | |
| Robert H. Heflich | NCTR | 52 | 8,776 | High Impact | |
| Alan J. Tackett | UAMS | 51 | 10,523 | ARA Grant PI High Impact | |
| Gwen V. Childs | UAMS | 49 | 7,058 | Grant PI High Impact | |
| Richard D. Beger | NCTR | 48 | 13,833 | High Impact |
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 765
- 2 Massachusetts General Hospital 668
- 3 Johns Hopkins University 490
- 4 University of California, San Francisco 474
- 5 University of Pittsburgh 406
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Disease Models, Animal.