Daniela Wuttig
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Prostate Cancer Treatment and Research
- Renal cell carcinoma treatment
- Prostate Cancer Diagnosis and Treatment
Papers in
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
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- Renal cell carcinoma treatment 4
- Ferroptosis and cancer prognosis 2
- Co-authors
- Holger Sültmann (5 shared papers)Jan C. Brase (3 shared papers)Ruprecht Kuner (3 shared papers)Manfred Peter Wirth (7 shared papers)Marieta Ioana Toma (6 shared papers)Susanne Fuessel (6 shared papers)Axel Meye (5 shared papers)Marc‐Oliver Grimm (4 shared papers)
- Journals
- International Journal of Cancer (2 papers)International Journal of Oncology (2 papers)BMC Bioinformatics (1 paper)Methods (1 paper)Neoplasia (1 paper)
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
Daniela Wuttig
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 556
- Pulmonary and Respiratory Medicine 329
- Molecular Biology 668
- Immunology and Allergy 26
- Oncology 103
Countries citing papers authored by Daniela Wuttig
This map shows the geographic impact of Daniela Wuttig'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 Wuttig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Wuttig more than expected).
Fields of papers citing papers by Daniela Wuttig
This network shows the impact of papers produced by Daniela Wuttig. 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 Wuttig. The network helps show where Daniela Wuttig may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Wuttig, 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 | 383 | |
| 2 | 2013 | 277 | |
| 3 | 2009 | 88 | |
| 4 | 2011 | 76 | |
| 5 | 2008 | 74 | |
| 6 | 2014 | 55 | |
| 7 | 2012 | 54 | |
| 8 | 2012 | 48 | |
| 9 | 2011 | 35 | |
| 10 | 2012 | 26 | |
| 11 | Multitarget siRNA inhibition of antiapoptotic genes (XIAP, BCL2, BCL-X(L)) in bladder cancer cells. | 2008 | 25 |
| 12 | 2008 | 24 | |
| 13 | 2007 | 11 |
About Daniela Wuttig
Daniela Wuttig is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Nephrology and Biotechnology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Renal cell carcinoma treatment (4 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Renal and related cancers (3 papers), Ferroptosis and cancer prognosis (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (556 citations), Pulmonary and Respiratory Medicine (329 citations), Molecular Biology (668 citations), Immunology and Allergy (26 citations) and Oncology (103 citations). Daniela Wuttig has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Holger Sültmann, Jan C. Brase, Ruprecht Kuner, Manfred Peter Wirth, Marieta Ioana Toma, Susanne Fuessel, Axel Meye, Marc‐Oliver Grimm, Alexander Herr and Matthias Meinhardt. Their work appears in journals such as International Journal of Cancer, International Journal of Oncology, BMC Bioinformatics, Methods and Neoplasia.
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.