André C. Müller
Impact in
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Enzyme Catalysis and Immobilization
- Hematology top 2%
Papers in
-
- Protein Degradation and Inhibitors 11
- Genomics and Phylogenetic Studies 9
- Ubiquitin and proteasome pathways 8
- Spectroscopy 13
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 8
- Co-authors
- Keiryn L. Bennett (34 shared papers)Giulio Superti‐Furga (21 shared papers)Jacques Colinge (18 shared papers)Michel Barrot (7 shared papers)İpek Yalçın (6 shared papers)Elmar W. Weiler (4 shared papers)Georg E. Winter (10 shared papers)Bettina Rosche (4 shared papers)
In The Last Decade
André C. Müller
116 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.5k
- Hematology 329
- Oncology 551
- Physiology 438
- Biochemistry 126
Countries citing papers authored by André C. Müller
This map shows the geographic impact of André C. Müller'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 André C. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André C. Müller more than expected).
Fields of papers citing papers by André C. Müller
This network shows the impact of papers produced by André C. Müller. 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 André C. Müller. The network helps show where André C. Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside André C. Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 266 | |
| 2 | 2008 | 228 | |
| 3 | 2018 | 206 | |
| 4 | 2016 | 201 | |
| 5 | 2015 | 165 | |
| 6 | 2018 | 139 | |
| 7 | 2018 | 134 | |
| 8 | 2010 | 126 | |
| 9 | 2021 | 105 | |
| 10 | 2011 | 98 | |
| 11 | 2020 | 95 | |
| 12 | 2019 | 94 | |
| 13 | 2007 | 94 | |
| 14 | 2009 | 91 | |
| 15 | 2010 | 85 | |
| 16 | 2021 | 82 | |
| 17 | 2012 | 78 | |
| 18 | 2007 | 74 | |
| 19 | 2019 | 74 | |
| 20 | 2010 | 72 |
About André C. Müller
André C. Müller is a scholar working on Molecular Biology, Spectroscopy, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 119 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Protein Degradation and Inhibitors (11 papers), Pain Mechanisms and Treatments (10 papers), Genomics and Phylogenetic Studies (9 papers), Ubiquitin and proteasome pathways (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Algorithms and Data Compression (7 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Hematology (329 citations), Oncology (551 citations), Physiology (438 citations) and Biochemistry (126 citations). André C. Müller has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Keiryn L. Bennett, Giulio Superti‐Furga, Jacques Colinge, Michel Barrot, İpek Yalçın, Elmar W. Weiler, Georg E. Winter, Bettina Rosche, Bernhard Hauer and Matthias Brand. Their work appears in journals such as Journal of Proteome Research, Nature Chemical Biology, Molecular & Cellular Proteomics, European Journal of Pain and Nature Genetics.
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.