Mara Persano
Impact in
-
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Oncology 25
- Colorectal Cancer Treatments and Studies 9
- Pancreatic and Hepatic Oncology Research 9
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Mario Scartozzi (20 shared papers)Andrea Pretta (13 shared papers)Clelia Donisi (14 shared papers)Pina Ziranu (13 shared papers)Marco Puzzoni (12 shared papers)Eleonora Lai (11 shared papers)Nicole Liscia (10 shared papers)Stefano Mariani (8 shared papers)
- Journals
- Annals of Oncology (6 papers)Targeted Oncology (3 papers)Journal of Clinical Oncology (3 papers)Expert Review of Anticancer Therapy (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Mara Persano
22 papers receiving 269 citations
Peers
Comparison fields: 5 of 42
- Oncology 159
- Cancer Research 84
- Hepatology 39
- Immunology 46
- Molecular Biology 126
Countries citing papers authored by Mara Persano
This map shows the geographic impact of Mara Persano'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 Mara Persano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Persano more than expected).
Fields of papers citing papers by Mara Persano
This network shows the impact of papers produced by Mara Persano. 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 Mara Persano. The network helps show where Mara Persano may publish in the future.
Co-authors
The 25 scholars most cited alongside Mara Persano, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2019 | 76 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 11 | |
| 5 | 2023 | 9 | |
| 6 | 2021 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 1 |
About Mara Persano
Mara Persano is a scholar working on Oncology, Molecular Biology, Hepatology, Surgery and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 274 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Colorectal Cancer Treatments and Studies (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Oncology (159 citations), Cancer Research (84 citations), Hepatology (39 citations), Immunology (46 citations) and Molecular Biology (126 citations). Mara Persano has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Mario Scartozzi, Andrea Pretta, Clelia Donisi, Pina Ziranu, Marco Puzzoni, Eleonora Lai, Nicole Liscia, Stefano Mariani, Giorgio Astara and Valeria Pusceddu. Their work appears in journals such as Annals of Oncology, Targeted Oncology, Journal of Clinical Oncology, Expert Review of Anticancer Therapy and Frontiers in 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.