Daniela Caravelli
Impact in
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 6
- Cutaneous Melanoma Detection and Management 2
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- Melanoma and MAPK Pathways 3
- Co-authors
- Massimo Aglietta (6 shared papers)Fabrizio Carnevale‐Schianca (9 shared papers)Susanna Gallo (5 shared papers)Giovanni Grignani (4 shared papers)Alessandro Zaccagna (4 shared papers)Dario Sangiolo (3 shared papers)Alberto Pisacane (3 shared papers)Antonella Balsamo (2 shared papers)
- Journals
- Cancers (3 papers)Tropical Medicine and Infectious Disease (2 papers)Journal of Clinical Oncology (2 papers)Clinical Cancer Research (1 paper)Melanoma Research (1 paper)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Daniela Caravelli
12 papers receiving 216 citations
Peers
Comparison fields: 5 of 54
- Oncology 132
- Immunology 77
- Hematology 29
- Genetics 19
- Pulmonary and Respiratory Medicine 46
Countries citing papers authored by Daniela Caravelli
This map shows the geographic impact of Daniela Caravelli'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 Caravelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Caravelli more than expected).
Fields of papers citing papers by Daniela Caravelli
This network shows the impact of papers produced by Daniela Caravelli. 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 Caravelli. The network helps show where Daniela Caravelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Caravelli, 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 | 2013 | 80 | |
| 2 | 2011 | 37 | |
| 3 | 2014 | 23 | |
| 4 | 2020 | 23 | |
| 5 | 2009 | 22 | |
| 6 | 2021 | 13 | |
| 7 | 2024 | 6 | |
| 8 | 2017 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2006 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Daniela Caravelli
Daniela Caravelli is a scholar working on Oncology, Molecular Biology, Genetics, Hematology and Computational Theory and Mathematics, having authored 13 papers that have together received 217 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer Genomics and Diagnostics (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Oncology (132 citations), Immunology (77 citations), Hematology (29 citations), Genetics (19 citations) and Pulmonary and Respiratory Medicine (46 citations). Daniela Caravelli has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Massimo Aglietta, Fabrizio Carnevale‐Schianca, Susanna Gallo, Giovanni Grignani, Alessandro Zaccagna, Dario Sangiolo, Alberto Pisacane, Antonella Balsamo, Lorenzo D’Ambrosio and Loretta Gammaitoni. Their work appears in journals such as Cancers, Tropical Medicine and Infectious Disease, Journal of Clinical Oncology, Clinical Cancer Research and Melanoma 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.