Daniela Beck
Impact in
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- Cutaneous Melanoma Detection and Management
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- Computational Drug Discovery Methods
Papers in
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- Melanoma and MAPK Pathways 4
- PI3K/AKT/mTOR signaling in cancer 3
- Cell death mechanisms and regulation 2
- Protein Degradation and Inhibitors 1
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- Cancer Mechanisms and Therapy 2
- Co-authors
- Claus Garbe (5 shared papers)Heike Niessner (5 shared papers)Friedegund Meier (5 shared papers)Tobias Sinnberg (4 shared papers)Dagmar Kulms (4 shared papers)Keith T. Flaherty (4 shared papers)Martin Schaller (2 shared papers)Konstantinos Lasithiotakis (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Clinical Cancer Research (1 paper)BioMed Research International (1 paper)Experimental Dermatology (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Daniela Beck
7 papers receiving 114 citations
Peers
Comparison fields: 5 of 44
- Oncology 41
- Computational Theory and Mathematics 23
- Molecular Biology 89
- Cancer Research 13
- Cell Biology 10
Countries citing papers authored by Daniela Beck
This map shows the geographic impact of Daniela Beck'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 Daniela Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Beck more than expected).
Fields of papers citing papers by Daniela Beck
This network shows the impact of papers produced by Daniela Beck. 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 Daniela Beck. The network helps show where Daniela Beck may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Beck, 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 | 50 | |
| 2 | 2017 | 34 | |
| 3 | 2017 | 11 | |
| 4 | 2018 | 11 | |
| 5 | 2012 | 4 | |
| 6 | 2010 | 2 | |
| 7 | 2011 | 2 |
About Daniela Beck
Daniela Beck is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Computational Theory and Mathematics and Cell Biology, having authored 7 papers that have together received 114 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cell death mechanisms and regulation (2 papers), Cancer Mechanisms and Therapy (2 papers), Venomous Animal Envenomation and Studies (1 paper), Protein Degradation and Inhibitors (1 paper), Computational Drug Discovery Methods (1 paper) and Supercapacitor Materials and Fabrication (1 paper). The work is most often cited by research in Oncology (41 citations), Computational Theory and Mathematics (23 citations), Molecular Biology (89 citations), Cancer Research (13 citations) and Cell Biology (10 citations). Daniela Beck has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Claus Garbe, Heike Niessner, Friedegund Meier, Tobias Sinnberg, Dagmar Kulms, Keith T. Flaherty, Martin Schaller, Konstantinos Lasithiotakis, Mario Mauthe and Birgit Schittek. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, BioMed Research International, Experimental Dermatology and Journal of Investigative Dermatology.
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.