Marilena V. Iorio
- Cancer Research top 0.01%
- MicroRNA in disease regulation 38
- Cancer-related molecular mechanisms research 26
- Molecular Biology top 0.1%
- Circular RNAs in diseases 26
- RNA modifications and cancer 7
- Extracellular vesicles in disease 6
- Oncology top 2%
- HER2/EGFR in Cancer Research 8
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 4
- Immunology top 2%
- Genetics top 2%
- Co-authors
- Carlo M. CroceStefano VoliniaGeorge A. CalinManuela FerracinChang‐Gong LiuMassimo NegriniAmelia CimminoSylvie Ménard
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)Journal of Clinical Oncology (2 papers)
- 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
- Cancer Research 13.9k
- Molecular Biology 14.8k
- Oncology 1.6k
- Immunology 1.1k
- Genetics 508
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
The 25 scholars most cited alongside Marilena V. Iorio, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2019 | 34 | |
| 7 | 2018 | 86 | |
| 8 | 2018 | 9 | |
| 9 | 2016 | 72 | |
| 10 | 2016 | 253 | |
| 11 | 2016 | 132 | |
| 12 | 2012 | 130 | |
| 13 | 2012 | 272 | |
| 14 | 2010 | 257 | |
| 15 | 2009 | 298 | |
| 16 | 2008 | 31 | |
| 17 | MicroRNA Signatures in Human Ovarian Cancerbreakdown → | 2007 | 1199 |
| 18 | A microRNA expression signature of human solid tumors defines cancer gene targetsbreakdown → | 2006 | 4730 |
| 19 | miR-15 and miR-16 induce apoptosis by targeting BCL2breakdown → | 2005 | 2787 |
| 20 | MicroRNA Gene Expression Deregulation in Human Breast Cancerbreakdown → | 2005 | 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), Cancer-related molecular mechanisms research (26 papers), HER2/EGFR in Cancer Research (8 papers), RNA modifications and cancer (7 papers), Extracellular vesicles in disease (6 papers), Cancer Cells and Metastasis (6 papers) and Cancer Immunotherapy and Biomarkers (4 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.