Andreas Muhs
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
- Physiology 28
- Alzheimer's disease research and treatments 27
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- S100 Proteins and Annexins 2
- Co-authors
- Andrea Pfeifer (34 shared papers)Wolfgang Froestl (10 shared papers)Oskar Adolfsson (8 shared papers)David T. Hickman (14 shared papers)Maria Pihlgren (14 shared papers)María Pilar López-Deber (7 shared papers)Nathalie Chuard (5 shared papers)Asad Jan (2 shared papers)
- Journals
- Alzheimer s & Dementia (9 papers)Journal of Alzheimer s Disease (8 papers)PLoS ONE (3 papers)Journal of Biological Chemistry (3 papers)Scientific Reports (3 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Andreas Muhs
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Neurology 443
- Biological Psychiatry 93
- Physiology 908
- Pharmacology 302
- Genetics 143
Countries citing papers authored by Andreas Muhs
This map shows the geographic impact of Andreas Muhs'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 Andreas Muhs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Muhs more than expected).
Fields of papers citing papers by Andreas Muhs
This network shows the impact of papers produced by Andreas Muhs. 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 Andreas Muhs. The network helps show where Andreas Muhs may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Muhs, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 289 | |
| 2 | 2013 | 199 | |
| 3 | 2010 | 155 | |
| 4 | 2007 | 140 | |
| 5 | 2019 | 137 | |
| 6 | 2005 | 124 | |
| 7 | 2016 | 93 | |
| 8 | 2011 | 67 | |
| 9 | 2012 | 65 | |
| 10 | 2015 | 56 | |
| 11 | 2012 | 47 | |
| 12 | 2018 | 38 | |
| 13 | 2012 | 37 | |
| 14 | 2017 | 36 | |
| 15 | 2013 | 33 | |
| 16 | 2003 | 30 | |
| 17 | 2012 | 24 | |
| 18 | 2012 | 23 | |
| 19 | 2017 | 23 | |
| 20 | 2014 | 21 |
About Andreas Muhs
Andreas Muhs is a scholar working on Physiology, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (27 papers), Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Neurology (443 citations), Biological Psychiatry (93 citations), Physiology (908 citations), Pharmacology (302 citations) and Genetics (143 citations). Andreas Muhs has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andrea Pfeifer, Wolfgang Froestl, Oskar Adolfsson, David T. Hickman, Maria Pihlgren, María Pilar López-Deber, Nathalie Chuard, Asad Jan, Hilal A. Lashuel and Fred Van Leuven. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, PLoS ONE, Journal of Biological Chemistry and Scientific Reports.
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.