Amy R. Poe
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor of Cell and Molecular Biology
Also affiliated: Berry College (2012); National Institutes of Health (2018); Georgia Institute of Technology (2012–2014); Shanghai Jiao Tong University (2018); Cornell University (2017–2020); Cold Spring Harbor Laboratory (2018); National Institute of Neurological Disorders and Stroke (2018); Weill Cornell Medicine (2018); University of Pennsylvania (2020–2024)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Amy R. Poe investigates fundamental biological processes using *Drosophila melanogaster* as a model organism. Her research focuses on understanding the genetic and molecular mechanisms underlying neuronal development, specifically dendrite formation and maintenance, and the emergence of circadian rhythms and their role in memory. Poe has explored how specific genes, such as FoxO and Neurofibromin 1, influence dendrite growth and early developmental sleep patterns in flies. Her work also examines the relationship between nutrient restriction and neuronal health, and the role of phosphatidylserine externalization in neurite degeneration. Poe has published research on CRISPR/Cas9-mediated mutagenesis for tissue-specific gene editing in *Drosophila*. Her scholarship metrics include an h-index of 8, with 30 total publications and 479 total citations.
Metrics
- h-index: 8
- Publications: 27
- Citations: 473
Positions
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Assistant Professor of Cell and Molecular Biology 2024–presentUniversity of Arkansas Department of Biological Sciences ORCID
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Postdoctoral Fellow 2018–presentUNIVERSITY OF PENNSYLVANIA ORCID
Selected Publications
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Nutritional Regulation of DN1a-Dh44 Signaling Modulates Sleep Across the Lifespan (2026)
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From Chaos to Clockwork: Investigating the Role of Circadian Genes in Metabolic Development of 2nd and 3rd Instar Drosophila Larvae (2026)Journal of the Arkansas Academy of Science OpenAlex
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A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation (2025)
Collaboration Network
Top Collaborators
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- From Chaos to Clockwork: Investigating the Role of Circadian Genes in Metabolic Development of 2nd and 3rd Instar Drosophila Larvae
- From Chaos to Clockwork: Investigating the Role of Circadian Genes in Metabolic Development of 2nd and 3rd Instar Drosophila Larvae
- Nutritional Regulation of DN1a-Dh44 Signaling Modulates Sleep Across the Lifespan
- Nutritional Regulation of DN1a-Dh44 Signaling Modulates Sleep Across the Lifespan
- Nutritional Regulation of DN1a-Dh44 Signaling Modulates Sleep Across the Lifespan
- Nutritional Regulation of DN1a-Dh44 Signaling Modulates Sleep Across the Lifespan
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