Elisa Cappuzzello
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 13
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 3
- Immunology 13
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Antonio Rosato (14 shared papers)Roberta Sommaggio (13 shared papers)Christian Kellner (4 shared papers)Matthias Peipp (4 shared papers)Katja Klausz (3 shared papers)Anna Otte (2 shared papers)Paola Zanovello (3 shared papers)Anna Tosi (5 shared papers)
In The Last Decade
Elisa Cappuzzello
17 papers receiving 385 citations
Peers
Comparison fields: 5 of 53
- Immunology 155
- Oncology 180
- Cell Biology 75
- Radiology, Nuclear Medicine and Imaging 58
- Behavioral Neuroscience 7
Countries citing papers authored by Elisa Cappuzzello
This map shows the geographic impact of Elisa Cappuzzello'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 Elisa Cappuzzello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Cappuzzello more than expected).
Fields of papers citing papers by Elisa Cappuzzello
This network shows the impact of papers produced by Elisa Cappuzzello. 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 Elisa Cappuzzello. The network helps show where Elisa Cappuzzello may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa Cappuzzello, 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 | 2017 | 132 | |
| 2 | 2017 | 81 | |
| 3 | 2017 | 42 | |
| 4 | 2020 | 37 | |
| 5 | 2016 | 26 | |
| 6 | 2023 | 15 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2020 | 1 |
About Elisa Cappuzzello
Elisa Cappuzzello is a scholar working on Oncology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (155 citations), Oncology (180 citations), Cell Biology (75 citations), Radiology, Nuclear Medicine and Imaging (58 citations) and Behavioral Neuroscience (7 citations). Elisa Cappuzzello has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Antonio Rosato, Roberta Sommaggio, Christian Kellner, Matthias Peipp, Katja Klausz, Anna Otte, Paola Zanovello, Anna Tosi, Giannino Del Sal and Mattia Forcato. Their work appears in journals such as OncoImmunology, Cytotherapy, Frontiers in Immunology, Nature Communications 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.