Martin Kussmann
Nestlé (Switzerland), University of Auckland, Hamilton Medical (Switzerland)
Papers
3
Total Citations
84
H-Index
3
About
Martin Kussmann is a pioneering researcher at the intersection of proteomics, metabolomics, and systems biology, with a particular focus on developing automated, high-throughput analytical workflows for biomedical and nutritional research. His work has significantly advanced the field of clinical biomarker discovery, most notably through his development of a comprehensive, scalable, and highly automated mass spectrometry-based proteomic pipeline for analyzing human plasma — a landmark contribution that has garnered 50 citations and addressed longstanding bottlenecks in sample preparation upstream of mass spectrometry. Kussmann has further extended his expertise into metabolomics, authoring a robotically automated UHPLC/MS-MS method for profiling one-carbon metabolites and amino acids in plasma, underscoring his commitment to precision and reproducibility in biological measurement. Earlier in his career, he contributed to genomics by developing automated target preparation methods for microarray-based gene expression analysis, reflecting the breadth of his omics expertise. Collectively, his research has helped transform large-scale molecular profiling from labor-intensive laboratory procedures into robust, clinically applicable platforms, making a meaningful impact on how scientists approach personalized nutrition and disease biomarker research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Automated Target Preparation for Microarray-Based Gene Expression Analysis16 citations · 2006
Key Collaborators
Related papers
- Comprehensive and Scalable Highly Automated MS-Based Proteomic Workflow for Clinical Biomarker Discovery in Human Plasma
- Robotic automation of a UHPLC/MS-MS method profiling one-carbon metabolites, amino acids, and precursors in plasma
- Automated Target Preparation for Microarray-Based Gene Expression Analysis
- Higher Throughput Bioanalysis by Automation of a Protein Precipitation Assay Using a 96-Well Format with Detection by LC−MS/MS
- Advancements in automation for plasma proteomics sample preparation
Researchers in this area
Labs working in this area
- Medical Robotics and Automation (RoboMed) Laboratory, Georgia Institute of TechnologyUnited States
- The 77 Lab - Agricultural RoboticsUnited States
- Advanced Robotics and Controls Laboratory (ARCLab)United States
- Medical Robotics and Computer Assisted Surgery Lab (MRCAS)United States
- Automation and Interventional Medicine (AIM) Robotics Laboratory, Worcester Polytechnic InstituteUnited States
Suggested by topic similarity — not advertising or endorsement.