Vera Schäffer
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
Papers in
-
- Circular RNAs in diseases 2
- Histone Deacetylase Inhibitors Research 1
- RNA and protein synthesis mechanisms 1
- Wnt/β-catenin signaling in development and cancer 1
- Fibroblast Growth Factor Research 1
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Marlies Eilers (8 shared papers)Brigitte Schlegelberger (8 shared papers)Britta Skawran (8 shared papers)Maria Sandbothe (4 shared papers)R. Buurman (3 shared papers)Florian Kühnel (3 shared papers)Engin Gürlevik (3 shared papers)Hans Kreipe (1 shared paper)
In The Last Decade
Vera Schäffer
8 papers receiving 335 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 212
- Molecular Biology 281
- Hepatology 22
- Oncology 41
- Pathology and Forensic Medicine 27
Countries citing papers authored by Vera Schäffer
This map shows the geographic impact of Vera Schäffer'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 Vera Schäffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Schäffer more than expected).
Fields of papers citing papers by Vera Schäffer
This network shows the impact of papers produced by Vera Schäffer. 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 Vera Schäffer. The network helps show where Vera Schäffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera Schäffer, 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 | 2012 | 175 | |
| 2 | 2017 | 104 | |
| 3 | 2019 | 29 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 4 |
About Vera Schäffer
Vera Schäffer is a scholar working on Molecular Biology, Cancer Research, Oncology, Nutrition and Dietetics and Genetics, having authored 8 papers that have together received 336 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Trace Elements in Health (1 paper), Histone Deacetylase Inhibitors Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Cancer Research (212 citations), Molecular Biology (281 citations), Hepatology (22 citations), Oncology (41 citations) and Pathology and Forensic Medicine (27 citations). Vera Schäffer has collaborated with scholars based in Germany, Denmark and Spain. Frequent co-authors include Marlies Eilers, Brigitte Schlegelberger, Britta Skawran, Maria Sandbothe, R. Buurman, Florian Kühnel, Engin Gürlevik, Hans Kreipe, Ludwig Wilkens and Thomas Illig. Their work appears in journals such as Journal of Cancer, Journal of Hepatology, European Journal of Human Genetics, Hepatology International and Cancer Cell International.
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.