Dario de Biase
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 30
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 13
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- Thyroid Cancer Diagnosis and Treatment 25
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 18
- Genetics top 5%
- Glioma Diagnosis and Treatment 27
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- Lung Cancer Treatments and Mutations 15
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- Radiomics and Machine Learning in Medical Imaging 12
- Co-authors
- Giovanni TalliniAnnalisa PessionMichela VisaniGiorgia AcquavivaGianluca MarucciMoira RagazziLuca MorandiAntonio De Leo
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (6 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Dario de Biase
180 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 983
- Endocrinology, Diabetes and Metabolism 566
- Oncology 912
- Genetics 331
- Pathology and Forensic Medicine 366
Countries citing papers authored by Dario de Biase
This map shows the geographic impact of Dario de Biase'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 Dario de Biase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario de Biase more than expected).
Fields of papers citing papers by Dario de Biase
This network shows the impact of papers produced by Dario de Biase. 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 Dario de Biase. The network helps show where Dario de Biase may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dario de Biase, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 74 | |
| 20 | 2021 | 4 |
About Dario de Biase
Dario de Biase is a scholar working on Cancer Research, Genetics and Oncology, having authored 197 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (30 papers), Glioma Diagnosis and Treatment (27 papers), Thyroid Cancer Diagnosis and Treatment (25 papers), Pancreatic and Hepatic Oncology Research (18 papers), Lung Cancer Treatments and Mutations (15 papers), MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (13 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Cancer Research (983 citations), Endocrinology, Diabetes and Metabolism (566 citations) and Oncology (912 citations). Dario de Biase has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giovanni Tallini, Annalisa Pession, Michela Visani, Giorgia Acquaviva, Gianluca Marucci, Moira Ragazzi, Luca Morandi, Antonio De Leo, Alessia Ciarrocchi and Alba A. Brandes. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.