Burkhard Rost

Technical University of Munich

Papers

1

Total Citations

35

H-Index

1

About

Burkhard Rost is a pioneering computational biologist whose work has fundamentally shaped our understanding of protein structure, function, and evolution. His key research areas include protein sequence analysis, structural bioinformatics, and the prediction of protein attributes from sequence alone. Rost is best known for developing some of the most widely used and influential methods in the field, including the PHD (Profile network from HeiDelberg) system for secondary structure prediction and the PredictProtein server, which have collectively garnered tens of thousands of citations. His major contributions include advancing the concept of "structural genomics" and demonstrating how large-scale, automated predictions can bridge the gap between sequence and structure. Notably, his work on "Structural genomics plucks high-hanging membrane proteins" (2012, 35 citations) highlights his focus on tackling the most challenging protein classes. Beyond his technical innovations, Rost is a dedicated educator and mentor, known for his clear, engaging explanations of complex topics and his commitment to open science and reproducible research. His impact is measured not only in citations but in the countless researchers who rely on his tools and insights to decode the language of proteins.

Research Focus

Key Achievements

1
H-Index
1
Papers
35
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Structural genomics plucks high-hanging membrane proteins
35 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago