Roberto Borea
Impact in
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immune Cell Function and Interaction
Papers in
- Oncology 17
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 2
- PARP inhibition in cancer therapy 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Christian Rolfo (3 shared papers)António Araújo (1 shared paper)Rafael Sirera (1 shared paper)Peter A. van Dam (1 shared paper)Rut Porta (1 shared paper)Nele Van Der Steen (1 shared paper)Tindara Franchina (1 shared paper)Pablo Reclusa (1 shared paper)
- Journals
- Cancers (3 papers)ESMO Open (2 papers)Critical Reviews in Oncology/Hematology (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Science Signaling (1 paper)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Roberto Borea
22 papers receiving 362 citations
Peers
Comparison fields: 5 of 61
- Oncology 186
- Immunology 77
- Cancer Research 47
- Pulmonary and Respiratory Medicine 82
- Molecular Biology 169
Countries citing papers authored by Roberto Borea
This map shows the geographic impact of Roberto Borea'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 Roberto Borea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Borea more than expected).
Fields of papers citing papers by Roberto Borea
This network shows the impact of papers produced by Roberto Borea. 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 Roberto Borea. The network helps show where Roberto Borea may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Borea, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 159 | |
| 2 | 2021 | 41 | |
| 3 | 2019 | 40 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2025 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Roberto Borea
Roberto Borea is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 25 papers that have together received 363 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), CAR-T cell therapy research (3 papers), BRCA gene mutations in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (2 papers), PARP inhibition in cancer therapy (2 papers), Renal cell carcinoma treatment (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (186 citations), Immunology (77 citations), Cancer Research (47 citations), Pulmonary and Respiratory Medicine (82 citations) and Molecular Biology (169 citations). Roberto Borea has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Christian Rolfo, António Araújo, Rafael Sirera, Peter A. van Dam, Rut Porta, Nele Van Der Steen, Tindara Franchina, Pablo Reclusa, David S. Hong and Aung Naing. Their work appears in journals such as Cancers, ESMO Open, Critical Reviews in Oncology/Hematology, Journal for ImmunoTherapy of Cancer and Science Signaling.
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.