Mathias Muth
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Pharmacological Receptor Mechanisms and Effects
Papers in
- Oncology 12
- Bone health and treatments 7
- Cancer Treatment and Pharmacology 4
- HER2/EGFR in Cancer Research 3
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 2
- Co-authors
- Ulrike Holzgrabe (7 shared papers)Klaus Mohr (6 shared papers)Clelia Dallanoce (4 shared papers)Marco De Amici (4 shared papers)Christian Tränkle (3 shared papers)Simona Bertoni (2 shared papers)Elisabetta Barocelli (2 shared papers)Evi Kostenis (3 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Medicinal Chemistry (3 papers)Journal of Clinical Oncology (3 papers)Annals of Oncology (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Mathias Muth
22 papers receiving 438 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 208
- Molecular Biology 320
- Radiology, Nuclear Medicine and Imaging 53
- Oncology 62
- Computational Theory and Mathematics 43
Countries citing papers authored by Mathias Muth
This map shows the geographic impact of Mathias Muth'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 Mathias Muth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Muth more than expected).
Fields of papers citing papers by Mathias Muth
This network shows the impact of papers produced by Mathias Muth. 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 Mathias Muth. The network helps show where Mathias Muth may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Muth, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 134 | |
| 2 | 2005 | 66 | |
| 3 | 2013 | 46 | |
| 4 | 2018 | 34 | |
| 5 | 2007 | 28 | |
| 6 | 2003 | 26 | |
| 7 | 2014 | 25 | |
| 8 | 2014 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2005 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2018 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2012 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2011 | 1 |
About Mathias Muth
Mathias Muth is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Genetics, having authored 22 papers that have together received 446 indexed citations. Recurring topics across this work include Bone health and treatments (7 papers), Advanced Breast Cancer Therapies (6 papers), Receptor Mechanisms and Signaling (5 papers), Cancer Treatment and Pharmacology (4 papers), Neuropeptides and Animal Physiology (4 papers), Estrogen and related hormone effects (3 papers), HER2/EGFR in Cancer Research (3 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (208 citations), Molecular Biology (320 citations), Radiology, Nuclear Medicine and Imaging (53 citations), Oncology (62 citations) and Computational Theory and Mathematics (43 citations). Mathias Muth has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ulrike Holzgrabe, Klaus Mohr, Clelia Dallanoce, Marco De Amici, Christian Tränkle, Simona Bertoni, Elisabetta Barocelli, Evi Kostenis, Eberhard Heller and Hans‐Dieter Höltje. Their work appears in journals such as Cancer Research, Journal of Medicinal Chemistry, Journal of Clinical Oncology, Annals of Oncology and Nature Chemical Biology.
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.