Pulmonary Arterial Hypertension
4 researchers across 1 institution
Research in pulmonary arterial hypertension (PAH) examines the underlying causes, progression, and potential treatments for this serious condition that affects the arteries in the lungs and the right side of the heart. Investigations include understanding the cellular and molecular mechanisms that lead to increased blood pressure in the pulmonary arteries, exploring the roles of genetics and environmental factors, and developing and testing new therapeutic strategies. Studies employ a range of methods, from basic laboratory investigations using cell cultures and animal models to clinical research focused on patient outcomes and the analysis of existing data.
This work holds relevance for Arkansas by addressing a significant public health concern. PAH can disproportionately affect certain populations, and understanding its prevalence and risk factors within the state is crucial for developing targeted public health initiatives and improving patient care. Research into the disease's mechanisms may also inform strategies for managing related cardiovascular conditions prevalent in Arkansas.
This field draws upon expertise in cardiovascular function, iron metabolism, and infectious diseases, given the potential links between certain infections and PAH. It also utilizes methods from meta-analysis and systematic reviews to synthesize existing evidence. Engagement spans across institutions, fostering a collaborative environment for advancing knowledge in this critical area of cardiovascular medicine.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Rajani Jagana | UAMS | 7 | 117 | ||
| Mohab Elnashar | UAMS | 2 | 6 | ||
| Jake Smith | UAMS | 1 | 9 | ||
| Husam M Salah | UAMS | 1 | 9 |
Related Research Areas
Connected Research Areas
Topics that share active collaborators with Pulmonary Arterial Hypertension in Arkansas. Pairs are ranked by collaboration density relative to expected co-authorship under a random null. This describes existing connections, not investment recommendations.