Daniel Muth

3.0k total citations · 2 hit papers
10 papers, 2.4k citations indexed

About

Daniel Muth is a scholar working on Cancer Research, Neurology and Molecular Biology. According to data from OpenAlex, Daniel Muth has authored 10 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Daniel Muth's work include Neuroblastoma Research and Treatments (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and MicroRNA in disease regulation (3 papers). Daniel Muth is often cited by papers focused on Neuroblastoma Research and Treatments (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and MicroRNA in disease regulation (3 papers). Daniel Muth collaborates with scholars based in Germany, United States and Belgium. Daniel Muth's co-authors include Frank Westermann, Jo Vandesompele, Pieter Mestdagh, Frank Speleman, Pieter Van Vlierberghe, An De Weer, Jennifer J. Young, Robert A. Weinberg, Tamer T. Önder and Harsha Prabhala and has published in prestigious journals such as Nature Cell Biology, Cancer Research and Oncogene.

In The Last Decade

Daniel Muth

10 papers receiving 2.4k citations

Hit Papers

miR-9, a MYC/MYCN-activated microRNA, regulates E-cadheri... 2009 2026 2014 2020 2010 2009 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Muth Germany 9 1.9k 1.6k 352 324 136 10 2.4k
Yi Tie China 21 2.5k 1.3× 2.1k 1.3× 43 0.1× 190 0.6× 169 1.2× 30 2.9k
Jacqueline E. Payton United States 24 970 0.5× 297 0.2× 249 0.7× 246 0.8× 406 3.0× 64 1.8k
Marcella Cesana Italy 14 3.0k 1.6× 2.4k 1.5× 70 0.2× 101 0.3× 111 0.8× 21 3.5k
Keith M. Giles Australia 28 2.0k 1.1× 1.3k 0.8× 55 0.2× 411 1.3× 488 3.6× 46 2.8k
Christian Touriol France 30 1.8k 0.9× 389 0.2× 112 0.3× 424 1.3× 228 1.7× 46 2.5k
Joost Kluiver Netherlands 27 2.0k 1.1× 1.9k 1.2× 52 0.1× 381 1.2× 541 4.0× 77 2.9k
Christian Guelly Austria 19 1.3k 0.7× 812 0.5× 42 0.1× 272 0.8× 138 1.0× 31 2.0k
Hun‐Way Hwang United States 15 3.3k 1.8× 2.9k 1.8× 36 0.1× 247 0.8× 232 1.7× 19 4.0k
Mike Byrom United States 3 3.6k 1.9× 3.2k 2.0× 33 0.1× 312 1.0× 210 1.5× 3 4.2k
Xiaoli Tang China 19 850 0.5× 473 0.3× 45 0.1× 223 0.7× 100 0.7× 60 1.3k

Countries citing papers authored by Daniel Muth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Muth

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Muth. A scholar is included among the top collaborators of Daniel Muth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Muth. Daniel Muth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Dreidax, Daniel, Christina I. Schroeder, Daniel Muth, et al.. (2013). Low p14ARF expression in neuroblastoma cells is associated with repressed histone mark status, and enforced expression induces growth arrest and apoptosis. Human Molecular Genetics. 22(9). 1735–1745. 10 indexed citations
2.
Henrich, Kai‐Oliver, Tobias Bauer, Johannes H. Schulte, et al.. (2011). CAMTA1 , a 1p36 Tumor Suppressor Candidate, Inhibits Growth and Activates Differentiation Programs in Neuroblastoma Cells. Cancer Research. 71(8). 3142–3151. 64 indexed citations
3.
Muth, Daniel, Isabella Eckerle, Claudia Beisel, et al.. (2010). Transcriptional Repression of SKP2 Is Impaired in MYCN -Amplified Neuroblastoma. Cancer Research. 70(9). 3791–3802. 43 indexed citations
4.
Ma, Li, Jennifer J. Young, Harsha Prabhala, et al.. (2010). miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis. PMC. 1 indexed citations
5.
Ma, Li, Jennifer J. Young, Harsha Prabhala, et al.. (2010). miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis. Nature Cell Biology. 12(3). 247–256. 1108 indexed citations breakdown →
6.
Eckerle, Isabella, Daniel Muth, Kai-Oliver Henrich, et al.. (2009). Regulation of BIRC5 and its isoform BIRC5-2B in neuroblastoma. Cancer Letters. 285(1). 99–107. 22 indexed citations
7.
Mestdagh, Pieter, Erik Fredlund, Filip Pattyn, et al.. (2009). MYCN/c-MYC-induced microRNAs repress coding gene networks associated with poor outcome in MYCN/c-MYC-activated tumors. Oncogene. 29(9). 1394–1404. 102 indexed citations
8.
Mestdagh, Pieter, Pieter Van Vlierberghe, An De Weer, et al.. (2009). A novel and universal method for microRNA RT-qPCR data normalization. Genome biology. 10(6). R64–R64. 841 indexed citations breakdown →
9.
Muth, Daniel, et al.. (2008). Cathepsin D protects human neuroblastoma cells from doxorubicin-induced cell death. Carcinogenesis. 29(10). 1869–1877. 52 indexed citations
10.
Westermann, Frank, Daniel Muth, Axel Benner, et al.. (2008). Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas. Genome biology. 9(10). R150–R150. 183 indexed citations

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.

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