Silvia Ribback
Impact in
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Hepatology top 2%
- Liver physiology and pathology
Papers in
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- PI3K/AKT/mTOR signaling in cancer 8
- Peroxisome Proliferator-Activated Receptors 6
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- Cancer, Lipids, and Metabolism 10
- Cancer, Hypoxia, and Metabolism 7
- MicroRNA in disease regulation 6
- Co-authors
- Diego F. Calvisi (50 shared papers)Frank Dombrowski (49 shared papers)Xin Chen (31 shared papers)Matthias Evert (32 shared papers)Antonio Cigliano (38 shared papers)Li Che (23 shared papers)Biao Fan (6 shared papers)Maria G. Pilo (15 shared papers)
- Journals
- Oncotarget (8 papers)Journal of Hepatology (6 papers)Hepatology (5 papers)International Journal of Molecular Sciences (5 papers)Scientific Reports (3 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Silvia Ribback
80 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 648
- Hepatology 330
- Cell Biology 437
- Molecular Biology 1.1k
- Oncology 394
Countries citing papers authored by Silvia Ribback
This map shows the geographic impact of Silvia Ribback'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 Ribback with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Ribback more than expected).
Fields of papers citing papers by Silvia Ribback
This network shows the impact of papers produced by Silvia Ribback. 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 Ribback. The network helps show where Silvia Ribback may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Ribback, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 372 | |
| 2 | 2014 | 228 | |
| 3 | 2015 | 124 | |
| 4 | 2016 | 105 | |
| 5 | 2015 | 99 | |
| 6 | 2016 | 91 | |
| 7 | 2019 | 84 | |
| 8 | 2016 | 74 | |
| 9 | 2021 | 73 | |
| 10 | 2016 | 60 | |
| 11 | 2017 | 56 | |
| 12 | 2017 | 55 | |
| 13 | 2015 | 55 | |
| 14 | 2020 | 53 | |
| 15 | 2012 | 52 | |
| 16 | 2017 | 51 | |
| 17 | 2021 | 50 | |
| 18 | 2019 | 47 | |
| 19 | 2018 | 44 | |
| 20 | 2015 | 42 |
About Silvia Ribback
Silvia Ribback is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Surgery and Oncology, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (11 papers), Cancer, Lipids, and Metabolism (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (648 citations), Hepatology (330 citations), Cell Biology (437 citations), Molecular Biology (1.1k citations) and Oncology (394 citations). Silvia Ribback has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Diego F. Calvisi, Frank Dombrowski, Xin Chen, Matthias Evert, Antonio Cigliano, Li Che, Biao Fan, Maria G. Pilo, Gregory J. Gores and Nataliya Razumilava. Their work appears in journals such as Oncotarget, Journal of Hepatology, Hepatology, International Journal of Molecular Sciences and Scientific Reports.
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.