Markus Mueller
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
Papers in
-
- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 3
-
- Glycosylation and Glycoproteins Research 2
- Metabolomics and Mass Spectrometry Studies 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Lukas N. Mueller (4 shared papers)Ruedi Aebersold (4 shared papers)Bernd Bodenmiller (2 shared papers)Bruno Domon (2 shared papers)Alexander Schmidt (3 shared papers)Martin Beck (1 shared paper)Oliver Rinner (1 shared paper)Thomas Walzthoeni (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)Nature Methods (2 papers)Cellular Physiology and Biochemistry (1 paper)Intensive Care Medicine (1 paper)Journal of Cheminformatics (1 paper)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Markus Mueller
12 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Spectroscopy 739
- Molecular Biology 931
- Cell Biology 111
- Clinical Biochemistry 24
- Cancer Research 43
Countries citing papers authored by Markus Mueller
This map shows the geographic impact of Markus Mueller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Mueller more than expected).
Fields of papers citing papers by Markus Mueller
This network shows the impact of papers produced by Markus Mueller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Mueller. The network helps show where Markus Mueller may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Mueller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 504 | |
| 2 | 2008 | 359 | |
| 3 | 2008 | 115 | |
| 4 | 2007 | 109 | |
| 5 | 2009 | 80 | |
| 6 | 2008 | 77 | |
| 7 | 2000 | 34 | |
| 8 | 2019 | 25 | |
| 9 | Automotive SPICE in Practice: Surviving Implementation and Assessment | 2008 | 23 |
| 10 | 2011 | 16 | |
| 11 | 1998 | 4 | |
| 12 | 2013 | 3 |
About Markus Mueller
Markus Mueller is a scholar working on Spectroscopy, Molecular Biology, Software, Geography, Planning and Development and Clinical Biochemistry, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Data Visualization and Analytics (1 paper), Machine Learning in Bioinformatics (1 paper), Geographic Information Systems Studies (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Spectroscopy (739 citations), Molecular Biology (931 citations), Cell Biology (111 citations), Clinical Biochemistry (24 citations) and Cancer Research (43 citations). Markus Mueller has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Lukas N. Mueller, Ruedi Aebersold, Bernd Bodenmiller, Bruno Domon, Alexander Schmidt, Martin Beck, Oliver Rinner, Thomas Walzthoeni, Jan Seebacher and Albrecht Schwab. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Methods, Cellular Physiology and Biochemistry, Intensive Care Medicine and Journal of Cheminformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.