Daniela Schmitter
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA Research and Splicing
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
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- Advanced Breast Cancer Therapies 2
- Oncology 3
- Cancer Treatment and Pharmacology 2
- HER2/EGFR in Cancer Research 1
- Co-authors
- Petr Svoboda (1 shared paper)Witold Filipowicz (1 shared paper)Mihaela Zavolan (1 shared paper)Ramesh S. Pillai (1 shared paper)Jody Filkowski (1 shared paper)Alain Sewer (1 shared paper)Edward J. Oakeley (1 shared paper)Adriaan A. Voors (2 shared papers)
- Journals
- Cancer Research (3 papers)Nucleic Acids Research (1 paper)International Journal of Cardiology (1 paper)Heart Failure Reviews (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Daniela Schmitter
5 papers receiving 257 citations
Peers
Comparison fields: 5 of 44
- Cancer Research 150
- Molecular Biology 206
- Aging 5
- Cardiology and Cardiovascular Medicine 32
- Immunology 28
Countries citing papers authored by Daniela Schmitter
This map shows the geographic impact of Daniela Schmitter'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 Schmitter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schmitter more than expected).
Fields of papers citing papers by Daniela Schmitter
This network shows the impact of papers produced by Daniela Schmitter. 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 Schmitter. The network helps show where Daniela Schmitter may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schmitter, 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 | 2006 | 164 | |
| 2 | 2016 | 49 | |
| 3 | 2013 | 46 | |
| 4 | 2022 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 1 |
About Daniela Schmitter
Daniela Schmitter is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Rheumatology, having authored 6 papers that have together received 263 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Cancer Treatment and Pharmacology (2 papers), Advanced Breast Cancer Therapies (2 papers), Galectins and Cancer Biology (1 paper), Barrier Structure and Function Studies (1 paper), Extracellular vesicles in disease (1 paper), RNA Interference and Gene Delivery (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (206 citations), Aging (5 citations), Cardiology and Cardiovascular Medicine (32 citations) and Immunology (28 citations). Daniela Schmitter has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Petr Svoboda, Witold Filipowicz, Mihaela Zavolan, Ramesh S. Pillai, Jody Filkowski, Alain Sewer, Edward J. Oakeley, Adriaan A. Voors, Gad Cotter and Mohsin A.F. Khan. Their work appears in journals such as Cancer Research, Nucleic Acids Research, International Journal of Cardiology and Heart Failure Reviews.
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.