Pascal Müller
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Bioinformatics and Genomic Networks
Papers in
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- Protein Structure and Dynamics 3
- Protein purification and stability 1
- Gut microbiota and health 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Didier Rognan (4 shared papers)Esther Kellenberger (3 shared papers)Jordi Rodrigo (1 shared paper)Guillaume Bret (1 shared paper)Nicodème Paul (1 shared paper)Sofiane Bezzine (1 shared paper)Gilles Guichard (1 shared paper)Gérard Lambeau (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Medicinal Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)Nestlé Nutrition Institute Workshop series (1 paper)Praxis (1 paper)
- Partner nations
- SwitzerlandFranceEstonia
In The Last Decade
Pascal Müller
7 papers receiving 757 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 496
- Molecular Biology 534
- Pharmacology 105
- Pharmacology 47
- Organic Chemistry 126
Countries citing papers authored by Pascal Müller
This map shows the geographic impact of Pascal 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 Pascal Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Müller more than expected).
Fields of papers citing papers by Pascal Müller
This network shows the impact of papers produced by Pascal 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 Pascal Müller. The network helps show where Pascal Müller may publish in the future.
Co-authors
The 14 scholars most cited alongside Pascal 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 456 | |
| 2 | 2006 | 157 | |
| 3 | 2004 | 85 | |
| 4 | 2006 | 54 | |
| 5 | 2020 | 29 | |
| 6 | 2018 | 3 | |
| 7 | 2014 | 1 | |
| 8 | 2014 | 1 |
About Pascal Müller
Pascal Müller is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Surgery and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 786 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (2 papers), Protein purification and stability (1 paper), Muscle metabolism and nutrition (1 paper), Agriculture Sustainability and Environmental Impact (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Computational Theory and Mathematics (496 citations), Molecular Biology (534 citations), Pharmacology (105 citations), Pharmacology (47 citations) and Organic Chemistry (126 citations). Pascal Müller has collaborated with scholars based in Switzerland, France and Estonia. Frequent co-authors include Didier Rognan, Esther Kellenberger, Jordi Rodrigo, Guillaume Bret, Nicodème Paul, Sofiane Bezzine, Gilles Guichard, Gérard Lambeau, Éric Boilard and Christian R. Kahlert. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Nestlé Nutrition Institute Workshop series and Praxis.
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.