Ivana De Risi
Impact in
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- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
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- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 6
- Cutaneous Melanoma Detection and Management 2
- CAR-T cell therapy research 2
- Inflammatory Biomarkers in Disease Prognosis 1
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- Immunotherapy and Immune Responses 2
- Co-authors
- Michele Guida (15 shared papers)Sabino Strippoli (13 shared papers)R. Fonte (4 shared papers)Amalia Azzariti (4 shared papers)Simona De Summa (5 shared papers)Letizia Porcelli (4 shared papers)Simona Serratì (4 shared papers)Gabriella Guida (2 shared papers)
In The Last Decade
Ivana De Risi
16 papers receiving 405 citations
Peers
Comparison fields: 5 of 56
- Oncology 176
- Immunology 107
- Cancer Research 64
- Molecular Biology 159
- Immunology and Allergy 13
Countries citing papers authored by Ivana De Risi
This map shows the geographic impact of Ivana De Risi'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 Ivana De Risi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana De Risi more than expected).
Fields of papers citing papers by Ivana De Risi
This network shows the impact of papers produced by Ivana De Risi. 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 Ivana De Risi. The network helps show where Ivana De Risi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivana De Risi, 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 | 2022 | 134 | |
| 2 | 2021 | 40 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 0 |
About Ivana De Risi
Ivana De Risi is a scholar working on Oncology, Immunology, Molecular Biology, Biophysics and Epidemiology, having authored 17 papers that have together received 405 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Extracellular vesicles in disease (3 papers), Cutaneous Melanoma Detection and Management (2 papers), CAR-T cell therapy research (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Melanoma and MAPK Pathways (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Oncology (176 citations), Immunology (107 citations), Cancer Research (64 citations), Molecular Biology (159 citations) and Immunology and Allergy (13 citations). Ivana De Risi has collaborated with scholars based in Italy and China. Frequent co-authors include Michele Guida, Sabino Strippoli, R. Fonte, Amalia Azzariti, Simona De Summa, Letizia Porcelli, Simona Serratì, Gabriella Guida, Rosa Maria Iacobazzi and Angelo Paradiso. Their work appears in journals such as Journal of Translational Medicine, Journal of Experimental & Clinical Cancer Research, Cancers, Frontiers in Oncology and Journal for ImmunoTherapy of Cancer.
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.