Mark S. Dunstan

University of Manchester

Papers

4

Total Citations

58

H-Index

3

About

Mark S. Dunstan is a researcher at the intersection of synthetic biology, natural product chemistry, and high-throughput palaeoproteomics. His work primarily focuses on developing automated pipelines and robotic platforms to accelerate the discovery and production of bioactive molecules, as well as to streamline the identification of ancient biological remains. Dunstan’s major contributions include the creation of an automated pipeline for screening diverse monoterpene synthase libraries (37 citations), which enables the rapid engineering of microbial strains for producing monoterpenoids—valuable compounds used in pharmaceuticals, flavourings, and biofuels. He also pioneered a multifragment DNA assembly method for biochemical pathways via automated ligase cycling reaction (14 citations), facilitating the construction of complex metabolic routes. More recently, Dunstan has applied his automation expertise to archaeology, developing AutoZooMS, a robotic system for high-throughput species identification of palaeontological remains (5 citations). This innovative approach addresses the challenge of identifying fragmentary skeletal material, offering a scalable solution for large-scale faunal analysis. His work exemplifies how automation can bridge disciplines, from synthetic biology to palaeontology, driving efficiency and reproducibility in research.

Research Focus

Key Achievements

3
H-Index
4
Papers
58
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
An automated pipeline for the screening of diverse monoterpene synthase libraries
37 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Manchester

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago