Marilena V. Iorio
- Molecular Biology top 0.1%
- Cancer Research top 0.01%
- Oncology top 2%
- Immunology top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Carlo M. CroceStefano VoliniaGeorge A. CalinManuela FerracinChang‐Gong LiuMassimo NegriniAmelia CimminoSylvie Ménard
- Topics
- MicroRNA in disease regulation (38 papers)Circular RNAs in diseases (26 papers)Cancer-related molecular mechanisms research (26 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Marilena V. Iorio
56 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 14.8k
- Cancer Research 13.9k
- Oncology 1.6k
- Immunology 1.1k
- Pathology and Forensic Medicine 638
Countries citing papers authored by Marilena V. Iorio
This map shows the geographic impact of Marilena V. Iorio'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 Marilena V. Iorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilena V. Iorio more than expected).
Fields of papers citing papers by Marilena V. Iorio
This network shows the impact of papers produced by Marilena V. Iorio. 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 Marilena V. Iorio. The network helps show where Marilena V. Iorio may publish in the future.
Co-authorship network of co-authors of Marilena V. Iorio
This figure shows the co-authorship network connecting the top 25 collaborators of Marilena V. Iorio. A scholar is included among the top collaborators of Marilena V. Iorio 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 Marilena V. Iorio. Marilena V. Iorio 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 | 4 | |
| 3 | 8 | |
| 4 | 18 | |
| 5 | 18 | |
| 6 | 34 | |
| 7 | 86 | |
| 8 | 9 | |
| 9 | 72 | |
| 10 | 253 | |
| 11 | 132 | |
| 12 | 130 | |
| 13 | 272 | |
| 14 | 257 | |
| 15 | 298 | |
| 16 | 31 | |
| 17 | MicroRNA Signatures in Human Ovarian Cancerbreakdown → | 1199 |
| 18 | A microRNA expression signature of human solid tumors defines cancer gene targetsbreakdown → | 4730 |
| 19 | miR-15 and miR-16 induce apoptosis by targeting BCL2breakdown → | 2787 |
| 20 | MicroRNA Gene Expression Deregulation in Human Breast Cancerbreakdown → | 3320 |
About Marilena V. Iorio
Marilena V. Iorio is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 59 papers that have together received 17.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (38 papers), Circular RNAs in diseases (26 papers) and Cancer-related molecular mechanisms research (26 papers). The work is most often cited by research in Cancer Research (13.9k citations), Molecular Biology (14.8k citations) and Oncology (1.6k citations). Marilena V. Iorio has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Carlo M. Croce, Stefano Volinia, George A. Calin, Manuela Ferracin, Chang‐Gong Liu, Massimo Negrini, Amelia Cimmino, Sylvie Ménard, Rosa Visone and Fabio Petrocca. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.