Gene Expression And Cancer Classification

79 researchers across 8 institutions

79 Researchers
8 Institutions
4 Grant PIs
15 High Impact

Researchers investigate the complex processes by which genes are activated and deactivated, and how these processes contribute to the development and progression of cancer. This work involves analyzing gene expression patterns using high-throughput technologies like RNA sequencing and microarrays. Studies focus on identifying specific gene signatures that can classify different types of cancer, predict patient outcomes, and guide therapeutic strategies. Investigations also explore the role of epigenetic modifications, such as DNA methylation, and protein dynamics in altering gene expression and influencing cancer cell behavior.

This research holds significant relevance for Arkansas by contributing to advancements in public health and the state's growing bioscience sector. Understanding cancer at a molecular level can lead to improved diagnostic tools and more targeted treatments, addressing cancer burdens within the state. Furthermore, the development of novel biotechnologies and analytical methods can foster innovation and economic development within Arkansas's life sciences industry.

This area of study draws upon and informs related fields including molecular biology, bioinformatics, genomics, epigenetics, and protein science. Expertise in this domain is distributed across multiple Arkansas institutions, fostering a collaborative research environment.

AI-generated overview
Filter by institution:
Filter by career stage:

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
Fenghuang Zhan UAMS 66 19,023 Grant PI High Impact
Shuk‐Mei Ho UAMS 57 11,726
Frank A. Simmen UAMS 54 7,545 High Impact
James C. Fuscoe NCTR 47 13,331 High Impact
Volodymyr Tryndyak NCTR 44 6,602 High Impact
Nadine Hempel UAMS 39 4,929
Samuel G. Mackintosh UAMS 36 4,453 High Impact
Jacob B. Hansen UA Little Rock 34 5,024 High Impact
Kyounghyun Kim UAMS 33 6,663 High Impact
Gohar Azhar UAMS 32 3,062 High Impact
Carrie L. Moland NCTR 28 3,349 High Impact
Timothy A. Evans University of Arkansas 26 3,589 Grant PI High Impact
Ruby Charak UAMS 25 2,098
Elizabeth S. Greene University of Arkansas 23 3,382
Kentu Lassiter University of Arkansas 21 1,552 High Impact
R.A. Walters University of Arkansas 21 1,529 High Impact
Samrat Roy Choudhury UAMS 20 1,510 High Impact
Beverly Word NCTR 19 895
Molecular Biology Techniques And Applications 36 Cancer-Related Molecular Mechanisms Research 31 Disease Mechanisms Research 30 Protein Structure And Dynamics 20 Genomics And Phylogenetic Studies 15 Epigenetics And Dna Methylation 11 Receptor Mechanisms And Signaling 11 Bioinformatics And Genomic Networks 10 Genomics And Chromatin Dynamics 10 Pharmacological Effects And Toxicity Studies 9 Metabolism And Genetic Disorders 8 Rna And Protein Synthesis Mechanisms 8 Cancer Cells And Metastasis 8 Cellular Transport And Secretion 8 Diet And Metabolism Studies 6

Connected Research Areas

Topics that share active collaborators with Gene Expression And Cancer Classification in Arkansas. Pairs are ranked by collaboration density relative to expected co-authorship under a random null. This describes existing connections, not investment recommendations.

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

Global trajectory
2 works in 2036
-36.3% CAGR 2018–2036
Leadership concentration
4.4% held by global top 5 institutions
Fragmented HHI 15
Arkansas position
Arkansas not in global top 100
No AR institution among the top-100 contributors to this topic over the 2018–2036 window.

Top US institutions in this area

  1. 1 Harvard University 2,043
  2. 2 Stanford University 1,437
  3. 3 National Institutes of Health 1,179
  4. 4 University of Michigan 1,127
  5. 5 Johns Hopkins University 1,086

Cross-Institution Connections

Researchers at different institutions with overlapping expertise in Gene Expression And Cancer Classification.

Steven M. Martin University of Arkansas
59%
Mir Ali UAMS
Steven M. Martin University of Arkansas
59%
Nolan J UAMS
Mir Ali UAMS
59%
Omezikam Okolo University of Arkansas
Daya Marasini University of Arkansas
57%
Diorella Lopez-Gonzalez UAMS
Daya Marasini University of Arkansas
57%
Nolan J UAMS
Nolan J UAMS
57%
Omezikam Okolo University of Arkansas
Daya Marasini University of Arkansas
56%
Zharov VP UAMS
Daya Marasini University of Arkansas
54%
K Gardner UAMS
Terry Harville UAMS
53%
Meagan Olsen University of Arkansas
Samrat Roy Choudhury UAMS
52%
Beverly Word NCTR

Researchers with Federal Grants

Fenghuang Zhan UAMS 1 grant Mohammad Alinoor Rahman UAMS 1 grant Timothy A. Evans University of Arkansas 1 grant Pamela Lockyer UAMS 1 grant
Browse All 79 Researchers in Directory