Richard G. Ham
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Soil Testing Lab
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Richard G. Ham's research has focused on the cultivation of mammalian cells, particularly human epidermal keratinocytes, in chemically defined media. His work has explored methods for clonal growth of these cells, including the development of serum-free media and techniques for frozen storage. He has investigated the growth requirements and differentiation processes of keratinocytes under various laboratory conditions.
His publications span several decades, with early work in the 1960s on clonal growth of mammalian cells in synthetic media, followed by more specific research on human keratinocytes in the 1970s and 1980s. Ham has contributed to the understanding of cell culture techniques relevant to dermatology and tissue engineering. His scholarship metrics include an h-index of 30, with over 73 publications and more than 5,750 citations. He maintains an active research group at the University of Arkansas at Fayetteville.
Metrics
- h-index: 30
- Publications: 73
- Citations: 5,750
Selected Publications
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An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems (2025)
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Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery (2021)
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International Student Recruiting and Retention in Post-graduate STEM Education (2020)
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Remote Sensing to Uav-Based Digital Farmland (2018)
Collaboration Network
Top Collaborators
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Remote Sensing to Uav-Based Digital Farmland
- Remote Sensing to Uav-Based Digital Farmland
- International Student Recruiting and Retention in Post-graduate STEM Education
- International Student Recruiting and Retention in Post-graduate STEM Education
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
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