Anke Müller
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Developmental Neuroscience top 10%
Papers in
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- Receptor Mechanisms and Signaling 4
- Ubiquitin and proteasome pathways 2
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- Click Chemistry and Applications 5
- Co-authors
- Daniela C. Dieterich (8 shared papers)Tamar Ziv (2 shared papers)Oksana Sorokina (1 shared paper)Noam Ziv (1 shared paper)Laurie D. Cohen (1 shared paper)J. Douglas Armstrong (1 shared paper)Evi Kostenis (2 shared papers)Nicole Merten (2 shared papers)
- Journals
- Nature Communications (2 papers)PLoS ONE (2 papers)Nature Biotechnology (1 paper)The Journal of Immunology (1 paper)Cell Communication and Signaling (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Anke Müller
14 papers receiving 975 citations
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 400
- Developmental Neuroscience 55
- Pharmacology 156
- Molecular Biology 587
- Cell Biology 132
Countries citing papers authored by Anke Müller
This map shows the geographic impact of Anke 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 Anke Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Müller more than expected).
Fields of papers citing papers by Anke Müller
This network shows the impact of papers produced by Anke 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 Anke Müller. The network helps show where Anke Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke 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 | 2010 | 218 | |
| 2 | 2010 | 169 | |
| 3 | 2013 | 160 | |
| 4 | 2012 | 121 | |
| 5 | 2012 | 77 | |
| 6 | 2015 | 74 | |
| 7 | 2012 | 48 | |
| 8 | 2007 | 43 | |
| 9 | 2020 | 25 | |
| 10 | 2015 | 20 | |
| 11 | 2020 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 5 | |
| 14 | 2017 | 5 |
About Anke Müller
Anke Müller is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 991 indexed citations. Recurring topics across this work include Click Chemistry and Applications (5 papers), Receptor Mechanisms and Signaling (4 papers), Ubiquitin and proteasome pathways (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Biotin and Related Studies (2 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (400 citations), Developmental Neuroscience (55 citations), Pharmacology (156 citations), Molecular Biology (587 citations) and Cell Biology (132 citations). Anke Müller has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Daniela C. Dieterich, Tamar Ziv, Oksana Sorokina, Noam Ziv, Laurie D. Cohen, J. Douglas Armstrong, Evi Kostenis, Nicole Merten, Klaus Mohr and Klaus Fabel. Their work appears in journals such as Nature Communications, PLoS ONE, Nature Biotechnology, The Journal of Immunology and Cell Communication and Signaling.
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.