Papers

2

Total Citations

36

H-Index

2

About

Alexander Reder is a researcher working at the intersection of proteomics and computational biology, with a focused emphasis on improving the efficiency and reproducibility of mass spectrometry-based workflows. His most recognized contribution is the development of **MassSpecPreppy**, an innovative web application designed to automate protein concentration determination and streamline sample digestion procedures for proteomics applications. This end-to-end solution addresses a critical bottleneck in modern proteomics: the need for fast, highly reproducible sample preparation that can keep pace with the throughput demands of next-generation mass spectrometers. By building on open-source infrastructure, Reder's work democratizes access to sophisticated proteomics preparation tools, making robust analytical pipelines more accessible to research laboratories worldwide. The tool has garnered notable attention in the field, accumulating over 35 citations across publications since 2023—a strong indicator of rapid community uptake for a recently introduced resource. Reder's contributions reflect a broader commitment to translational bioinformatics: bridging the gap between raw biological samples and high-quality proteomics data through intelligent software design. His work is particularly valuable for researchers managing large-scale sample series where consistency and automation are paramount to scientific rigor.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
MassSpecPreppy—An end‐to‐end solution for automated protein concentration determination and flexible sample digestion for proteomics applications
33 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Universitätsmedizin Greifswald

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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