Cancer Genomics And Diagnostics
145 researchers across 11 institutions
Cancer genomics and diagnostics research investigates the complex genetic and molecular underpinnings of cancer. Studies focus on identifying gene mutations, epigenetic alterations, and other genomic variations that drive cancer development and progression. Researchers employ advanced sequencing technologies, bioinformatics tools, and computational modeling to analyze tumor genomes and understand cancer heterogeneity. This work also encompasses the development and validation of novel diagnostic and prognostic biomarkers, aiming to improve early detection, personalize treatment strategies, and predict patient outcomes.
This research holds significant relevance for Arkansas. Understanding the genetic factors contributing to cancer prevalence and outcomes in the state's diverse populations can inform targeted public health initiatives and cancer prevention strategies. Furthermore, advancements in cancer diagnostics can support the growth of the state's biotechnology and healthcare sectors, fostering innovation and economic development. The focus on genomic analysis also aligns with the growing importance of precision medicine, enabling the development of more effective and tailored cancer therapies for Arkansans.
This area of study draws on expertise from molecular biology, bioinformatics, pathology, and computational science. Researchers across multiple Arkansas institutions collaborate to advance our understanding of cancer genomics and diagnostics, bridging fundamental biological discovery with clinical application.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Bart Barlogie | UAMS | 138 | 76,058 | High Impact | |
| John D. Shaughnessy | UAMS | 88 | 31,058 | High Impact | |
| Weida Tong | NCTR | 82 | 29,795 | ||
| David M. Parham | UAMS | 81 | 21,060 | High Impact | |
| Shiv Srivastava | UAMS | 64 | 15,022 | High Impact | |
| Naveena Singh | University of Arkansas – Fort Smith | 64 | 16,943 | High Impact | |
| Vladimir P. Zharov | UAMS | 55 | 12,231 | High Impact | |
| David N. Church | UAMS | 45 | 9,282 | High Impact | |
| Christopher P. Wardell | UAMS | 36 | 7,505 | High Impact | |
| Charles M. Quick | UAMS | 35 | 3,892 | High Impact | |
| Peter D. Emanuel | UAMS | 32 | 3,535 | Grant PI High Impact | |
| Joshua Xu | NCTR | 31 | 5,849 | High Impact | |
| Erming Tian | UAMS | 31 | 5,369 | High Impact | |
| Mary Qu Yang | UA Little Rock | 30 | 5,179 | High Impact | |
| Thidathip Wongsurawat | UAMS | 29 | 2,835 | High Impact | |
| Barbara L. Parsons | NCTR | 29 | 2,850 | High Impact | |
| Mary A. Littrell | UAMS | 28 | 3,416 | High Impact | |
| Murat Gökden | UAMS | 27 | 2,908 | Grant PI High Impact | |
| Nicole Massoll | UAMS | 27 | 2,380 | High Impact | |
| Kathleen Neville | UAMS | 27 | 4,168 | High Impact |
Related Research Areas
Connected Research Areas
Topics that share active collaborators with Cancer Genomics And Diagnostics in Arkansas. Pairs are ranked by collaboration density relative to expected co-authorship under a random null. This describes existing connections, not investment recommendations.
- Health Policy Implementation Science
- Molecular Biology Techniques and Applications
- Cancer Cells and Metastasis
- Immune Response and Inflammation
- Cancer Treatment and Pharmacology
- Cancer-related molecular mechanisms research
- Microbial infections and disease research
- Vascular Malformations and Hemangiomas
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 The University of Texas MD Anderson Cancer Center 6,784
- 2 Harvard University 5,278
- 3 Memorial Sloan Kettering Cancer Center 5,248
- 4 Dana-Farber Cancer Institute 4,860
- 5 Johns Hopkins University 3,538
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Cancer Genomics And Diagnostics.