Daniel Muth
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Neurology top 5%
- Neuroblastoma Research and Treatments
Papers in
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- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
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- Neuroblastoma Research and Treatments 7
- Co-authors
- Frank Westermann (10 shared papers)Jo Vandesompele (5 shared papers)Pieter Mestdagh (4 shared papers)Frank Speleman (4 shared papers)An De Weer (1 shared paper)Pieter Van Vlierberghe (1 shared paper)Robert A. Weinberg (2 shared papers)Li Ma (2 shared papers)
- Journals
- Cancer Research (2 papers)Genome biology (2 papers)Nature Cell Biology (1 paper)Carcinogenesis (1 paper)Oncogene (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Daniel Muth
10 papers receiving 2.6k citations
Daniel Muth's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 1.5k
- Neurology 378
- Molecular Biology 1.7k
- Oncology 316
- Immunology 125
Countries citing papers authored by Daniel Muth
This map shows the geographic impact of Daniel 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 Daniel Muth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Muth more than expected).
Fields of papers citing papers by Daniel Muth
This network shows the impact of papers produced by Daniel 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 Daniel Muth. The network helps show where Daniel Muth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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
| # | Work | ||
|---|---|---|---|
| 1 | miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis Hit paper breakdown → | 2010 | 1176 |
| 2 | A novel and universal method for microRNA RT-qPCR data normalization Hit paper breakdown → | 2009 | 903 |
| 3 | 2008 | 214 | |
| 4 | 2009 | 113 | |
| 5 | 2011 | 72 | |
| 6 | 2008 | 55 | |
| 7 | 2010 | 46 | |
| 8 | 2009 | 22 | |
| 9 | 2013 | 12 | |
| 10 | miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis | 2010 | 1 |
About Daniel Muth
Daniel Muth is a scholar working on Cancer Research, Neurology, Oncology, Molecular Biology and Insect Science, having authored 10 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (7 papers), Cancer, Hypoxia, and Metabolism (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (2 papers), Lung Cancer Research Studies (2 papers), Cell death mechanisms and regulation (2 papers), Signaling Pathways in Disease (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cancer Research (1.5k citations), Neurology (378 citations), Molecular Biology (1.7k citations), Oncology (316 citations) and Immunology (125 citations). Daniel Muth has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Frank Westermann, Jo Vandesompele, Pieter Mestdagh, Frank Speleman, An De Weer, Pieter Van Vlierberghe, Robert A. Weinberg, Li Ma, Scott Valastyan and Jennifer J. Young. Their work appears in journals such as Cancer Research, Genome biology, Nature Cell Biology, Carcinogenesis and Oncogene.
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.