Papers

2

Total Citations

36

H-Index

2

About

Denise Dittmar is a researcher working at the intersection of proteomics and computational biology, with a particular focus on streamlining and automating sample preparation workflows for mass spectrometry-based analyses. Her most recognized contribution is the development of MassSpecPreppy, an innovative open-source web application designed to provide end-to-end automation for protein concentration determination and flexible sample digestion protocols. This tool addresses a critical bottleneck in large-scale proteomics research, where reproducibility and efficiency in sample preparation are essential prerequisites for leveraging the capabilities of modern, high-speed mass spectrometers. MassSpecPreppy has garnered notable attention within the proteomics community, accumulating over 35 citations across its publications since 2023 — a strong indicator of early-stage impact for a recently introduced tool. By providing researchers with an accessible, flexible platform that reduces manual variability and accelerates experimental throughput, Dittmar's work represents a meaningful practical advancement in proteomics infrastructure. Her contributions reflect a commitment to making sophisticated proteomics workflows more accessible, reproducible, and scalable — qualities that are increasingly vital as the field moves toward high-throughput, data-intensive research paradigms.

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
Content generated · 0 days ago