Ralf Mueller
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Receptor Mechanisms and Signaling
Papers in
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- Receptor Mechanisms and Signaling 4
- Protein Structure and Dynamics 3
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 2
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Jens Meiler (8 shared papers)Mariusz Butkiewicz (5 shared papers)C. David Weaver (3 shared papers)Jeffrey Mendenhall (2 shared papers)Nils Woetzel (1 shared paper)Mert Karakaş (1 shared paper)Edward W. Lowe (2 shared papers)Eric S. Dawson (4 shared papers)
- Journals
- FEMS Microbiology Ecology (1 paper)Journal of Molecular Modeling (1 paper)ChemMedChem (1 paper)GigaScience (1 paper)Molecules (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ralf Mueller
14 papers receiving 377 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 98
- Molecular Biology 196
- Soil Science 27
- Ecology 62
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Ralf Mueller
This map shows the geographic impact of Ralf 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 Ralf Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Mueller more than expected).
Fields of papers citing papers by Ralf Mueller
This network shows the impact of papers produced by Ralf 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 Ralf Mueller. The network helps show where Ralf Mueller may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf 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 | 2017 | 65 | |
| 2 | 2013 | 54 | |
| 3 | 2013 | 47 | |
| 4 | 2022 | 47 | |
| 5 | 2012 | 40 | |
| 6 | 2010 | 38 | |
| 7 | 2023 | 26 | |
| 8 | 2009 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2025 | 13 | |
| 11 | 2021 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2020 | 4 | |
| 14 | 2009 | 2 |
About Ralf Mueller
Ralf Mueller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Ecology and Materials Chemistry, having authored 14 papers that have together received 380 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (4 papers), Protein Structure and Dynamics (3 papers), Genomics and Phylogenetic Studies (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Microbial Community Ecology and Physiology (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (98 citations), Molecular Biology (196 citations), Soil Science (27 citations), Ecology (62 citations) and Cellular and Molecular Neuroscience (39 citations). Ralf Mueller has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jens Meiler, Mariusz Butkiewicz, C. David Weaver, Jeffrey Mendenhall, Nils Woetzel, Mert Karakaş, Edward W. Lowe, Eric S. Dawson, Julia Koehler Leman and Karthik Anantharaman. Their work appears in journals such as FEMS Microbiology Ecology, Journal of Molecular Modeling, ChemMedChem, GigaScience and Molecules.
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.