Silvia Bicker
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 5%
Papers in
-
- RNA Research and Splicing 6
- Circular RNAs in diseases 4
- Lipid Membrane Structure and Behavior 2
- RNA modifications and cancer 2
-
- MicroRNA in disease regulation 10
- Co-authors
- Gerhard Schratt (15 shared papers)Martin Lackinger (3 shared papers)Michael Stadler (1 shared paper)Miriam Bibel (1 shared paper)Volker Busskamp (1 shared paper)Hans Jörg Fehling (1 shared paper)Witold Filipowicz (1 shared paper)Jacek Król (1 shared paper)
- Journals
- EMBO Reports (5 papers)Genes & Development (1 paper)The EMBO Journal (1 paper)Cell Research (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Silvia Bicker
15 papers receiving 929 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 611
- Developmental Neuroscience 78
- Molecular Biology 753
- Cellular and Molecular Neuroscience 105
- Biological Psychiatry 13
Countries citing papers authored by Silvia Bicker
This map shows the geographic impact of Silvia Bicker'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 Silvia Bicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Bicker more than expected).
Fields of papers citing papers by Silvia Bicker
This network shows the impact of papers produced by Silvia Bicker. 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 Silvia Bicker. The network helps show where Silvia Bicker may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Bicker, 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 | 391 | |
| 2 | 2013 | 104 | |
| 3 | 2015 | 84 | |
| 4 | 2014 | 82 | |
| 5 | 2014 | 80 | |
| 6 | 2008 | 57 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 8 | |
| 13 | 2025 | 6 | |
| 14 | 2010 | 3 | |
| 15 | 2025 | 2 |
About Silvia Bicker
Silvia Bicker is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Developmental Neuroscience and Genetics, having authored 15 papers that have together received 935 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), RNA Research and Splicing (6 papers), Circular RNAs in diseases (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Lipid Membrane Structure and Behavior (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (611 citations), Developmental Neuroscience (78 citations), Molecular Biology (753 citations), Cellular and Molecular Neuroscience (105 citations) and Biological Psychiatry (13 citations). Silvia Bicker has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Gerhard Schratt, Martin Lackinger, Michael Stadler, Miriam Bibel, Volker Busskamp, Hans Jörg Fehling, Witold Filipowicz, Jacek Król, Sebastian Ribi and Jens Richter. Their work appears in journals such as EMBO Reports, Genes & Development, The EMBO Journal, Cell Research and Nature Communications.
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.