Daniela Pollutri
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Circular RNAs in diseases 6
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 5
- Co-authors
- Francesca Fornari (8 shared papers)Laura Gramantieri (8 shared papers)Luigi Bolondi (6 shared papers)Massimo Negrini (6 shared papers)Maddalena Milazzo (2 shared papers)Gian Luca Grazi (1 shared paper)Carlo M. Croce (1 shared paper)Pasquale Chieco (1 shared paper)
- Journals
- Cancer Research (2 papers)Frontiers in Genetics (1 paper)Cell Death and Disease (1 paper)Biochimie (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Daniela Pollutri
13 papers receiving 871 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 557
- Hepatology 98
- Molecular Biology 576
- Pathology and Forensic Medicine 66
- Epidemiology 82
Countries citing papers authored by Daniela Pollutri
This map shows the geographic impact of Daniela Pollutri'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 Daniela Pollutri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pollutri more than expected).
Fields of papers citing papers by Daniela Pollutri
This network shows the impact of papers produced by Daniela Pollutri. 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 Daniela Pollutri. The network helps show where Daniela Pollutri may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Pollutri, 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 | 2010 | 356 | |
| 2 | 2017 | 141 | |
| 3 | 2015 | 124 | |
| 4 | 2018 | 71 | |
| 5 | 2020 | 52 | |
| 6 | 2019 | 37 | |
| 7 | 2016 | 31 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 23 | |
| 10 | 2014 | 17 | |
| 11 | 2022 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2014 | 1 | |
| 14 | 2025 | 0 |
About Daniela Pollutri
Daniela Pollutri is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 14 papers that have together received 881 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA and protein synthesis mechanisms (2 papers), Cancer Mechanisms and Therapy (1 paper), DNA Repair Mechanisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (557 citations), Hepatology (98 citations), Molecular Biology (576 citations), Pathology and Forensic Medicine (66 citations) and Epidemiology (82 citations). Daniela Pollutri has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Francesca Fornari, Laura Gramantieri, Luigi Bolondi, Massimo Negrini, Maddalena Milazzo, Gian Luca Grazi, Carlo M. Croce, Pasquale Chieco, George A. Calin and Sara Marinelli. Their work appears in journals such as Cancer Research, Frontiers in Genetics, Cell Death and Disease, Biochimie and Clinical Cancer Research.
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.