Shan She

University of Glasgow

Papers

1

Total Citations

26

H-Index

1

About

Shan She is pioneering the intersection of robotics and inorganic biochemistry, with a primary focus on the automated synthesis of hybrid peptide materials. Her most cited work, "Robotic synthesis of peptides containing metal-oxide-based amino acids" (2022, 26 citations), introduces a groundbreaking method for incorporating non-coded, metal-oxide-bearing amino acids into peptide sequences. This innovation addresses a fundamental challenge in bioinorganic chemistry: controlling redox activity, charge density, and structural properties beyond what natural organic side chains can offer. By leveraging robotic automation, She enables precise, reproducible insertion of these inorganic building blocks, opening new avenues for designing functional biomaterials with tailored electronic and catalytic properties. Her work is notable for bridging synthetic biology and materials science, offering a scalable platform for creating peptides with enhanced stability and reactivity. As a rising figure in the field, She’s contributions are already shaping how researchers approach the synthesis of biohybrid compounds, with implications for drug delivery, biosensing, and sustainable catalysis. Her research exemplifies how interdisciplinary automation can unlock novel chemical spaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Robotic synthesis of peptides containing metal-oxide-based amino acids
26 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Glasgow

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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