Erik Winfree

California Institute of Technology

Papers

7

Total Citations

2,899

H-Index

7

About

Erik Winfree is a pioneering figure in DNA computing and molecular programming, whose work has fundamentally shaped how we think about computation at the nanoscale. His research lies at the intersection of computer science, chemistry, and nanotechnology, focusing on using DNA as a substrate for both information processing and molecular robotics. Winfree’s most celebrated contribution is the development of DNA strand displacement cascades, which enable neural network-like computation in a test tube—a breakthrough detailed in his 2011 paper, cited over 1,000 times. He also introduced the concept of molecular robots guided by prescriptive landscapes (2010, 944 citations), demonstrating how DNA-based devices can navigate and perform tasks autonomously. His 2017 work on a cargo-sorting DNA robot (560 citations) solved key challenges in modularity and algorithmic simplicity, showcasing a programmable molecular system that sorts cargo at the molecular level. Earlier, Winfree proposed the sticker model for DNA computation (1998, 218 citations), a foundational framework for representing and manipulating information using DNA strands. His work has not only advanced theoretical models but also provided practical tools like TileSoft for designing DNA nanostructures. With over 2,800 citations across his top papers, Winfree’s research continues to inspire new generations of scientists working at the frontier of molecular-scale computing and robotics.

Research Focus

Key Achievements

7
H-Index
7
Papers
2,899
Total Citations
414
Avg Citations/Paper
🏆 Most Cited Paper
Neural network computation with DNA strand displacement cascades
1,088 citations · 2011
📈 Most Prolific Year: 1998 (2 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: California Institute of Technology

Top Papers

  1. 1
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  3. 3
    A cargo-sorting DNA robot
    560 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
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