Daniel J. Scott
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Lecturer in Inorganic Chemistry
Also affiliated: Tulane University (2005); Mansfield University (2022); University of Oxford (2022); London Biofoundry (2019); Transnational Press London (2019); Molecular Sciences Institute (2019); University College London (2006); Imperial College London (2014–2019); University of Bath (2023–2026); University of Regensburg (2019–2024)
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Daniel J. Scott's research program focuses on the development of novel synthetic methodologies, particularly in the areas of photoredox catalysis and phosphorus chemistry. He has investigated the use of tris(p-substituted)biarylaminium radical cations as potent photooxidants for hole-mediated photoredox catalysis, leading to publications on isolating intermediate radical anions and understanding complex photoredox mechanisms.
His work also involves the direct synthesis of organophosphorus compounds from elemental white phosphorus (P₄). This includes developing practical transformations into P₁ compounds and exploring photocatalytic reactions for the arylation of P₄ and PH₃, as well as the stannylation of white phosphorus. Scott has also explored hydrostannylation of red phosphorus as a route to monophosphines.
Scott has an h-index of 22, with 2,418 citations across 90 publications. He has collaborated with David C. Jensen, with whom he shares two publications. Scott is designated as a high-impact researcher due to his highly cited work.
Metrics
- h-index: 22
- Publications: 94
- Citations: 2,455
Selected Publications
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Agent-Based Resilience Analysis: A Domain-Agnostic Framework for System Degradation and Recovery Analysis (2026)
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Advanced Genetic Algorithm-Based Network Optimization for Mission Assurance (2026)
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A Framework for Hybrid Agent-Network Analysis for Mission Assurance (2025)
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Implementation of Network Optimization and Resiliency Analysis Towards Mission Assurance (2024)
Collaboration Network
Top Collaborators
- Implementation of Network Optimization and Resiliency Analysis Towards Mission Assurance
- A Framework for Hybrid Agent-Network Analysis for Mission Assurance
- A Framework for Hybrid Agent-Network Analysis for Mission Assurance
- Advanced Genetic Algorithm-Based Network Optimization for Mission Assurance