Manuela Ferracin
- Molecular Biology top 0.05%
- Cancer Research top 0.01%
- Oncology top 1%
- Immunology top 1%
- Genetics top 0.5%
- Co-authors
- Massimo NegriniCarlo M. CroceGeorge A. CalinChang‐Gong LiuStefano VoliniaMarilena V. IorioAmelia CimminoAngelo Veronese
- Topics
- MicroRNA in disease regulation (85 papers)Cancer-related molecular mechanisms research (51 papers)Circular RNAs in diseases (42 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Manuela Ferracin
155 papers receiving 24.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 19.8k
- Cancer Research 18.7k
- Oncology 1.9k
- Immunology 1.8k
- Genetics 1.1k
Countries citing papers authored by Manuela Ferracin
This map shows the geographic impact of Manuela Ferracin'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 Manuela Ferracin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Ferracin more than expected).
Fields of papers citing papers by Manuela Ferracin
This network shows the impact of papers produced by Manuela Ferracin. 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 Manuela Ferracin. The network helps show where Manuela Ferracin may publish in the future.
Co-authorship network of co-authors of Manuela Ferracin
This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Ferracin. A scholar is included among the top collaborators of Manuela Ferracin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuela Ferracin. Manuela Ferracin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 50 | |
| 7 | 45 | |
| 8 | 50 | |
| 9 | 17 | |
| 10 | 74 | |
| 11 | 51 | |
| 12 | 182 | |
| 13 | 261 | |
| 14 | 343 | |
| 15 | Cyclin G1 Is a Target of miR-122a, a MicroRNA Frequently Down-regulated in Human Hepatocellular Carcinomabreakdown → | 670 |
| 16 | 13 | |
| 17 | A microRNA expression signature of human solid tumors defines cancer gene targetsbreakdown → | 4730 |
| 18 | A MicroRNA Signature of Hypoxiabreakdown → | 890 |
| 19 | miR-15 and miR-16 induce apoptosis by targeting BCL2breakdown → | 2787 |
| 20 | MicroRNA Gene Expression Deregulation in Human Breast Cancerbreakdown → | 3320 |
About Manuela Ferracin
Manuela Ferracin is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 161 papers that have together received 24.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (85 papers), Cancer-related molecular mechanisms research (51 papers) and Circular RNAs in diseases (42 papers). The work is most often cited by research in Cancer Research (18.7k citations), Molecular Biology (19.8k citations) and Genetics (1.1k citations). Manuela Ferracin has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Massimo Negrini, Carlo M. Croce, George A. Calin, Chang‐Gong Liu, Stefano Volinia, Marilena V. Iorio, Amelia Cimmino, Angelo Veronese, Hansjüerg Alder and Silvia Sabbioni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.
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.