Paola Squarcina
- Molecular Biology top 5%
- Immunology top 2%
- Cancer Research top 2%
- Oncology top 10%
- Biomedical Engineering
- Co-authors
- Giorgio ParmianiLicia RivoltiniVeronica HuberChiara CastelliLuana LuginiStefano FaisMassimo GentileGiuseppe Arancia
- Topics
- Immunotherapy and Immune Responses (11 papers)Cancer Immunotherapy and Biomarkers (9 papers)CAR-T cell therapy research (6 papers)
- Journals
- The Journal of Experimental MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesQatar
In The Last Decade
Paola Squarcina
25 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.4k
- Immunology 1.1k
- Cancer Research 679
- Oncology 414
- Biomedical Engineering 136
Countries citing papers authored by Paola Squarcina
This map shows the geographic impact of Paola Squarcina'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 Paola Squarcina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Squarcina more than expected).
Fields of papers citing papers by Paola Squarcina
This network shows the impact of papers produced by Paola Squarcina. 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 Paola Squarcina. The network helps show where Paola Squarcina may publish in the future.
Co-authorship network of co-authors of Paola Squarcina
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Squarcina. A scholar is included among the top collaborators of Paola Squarcina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paola Squarcina. Paola Squarcina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 125 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 164 | |
| 10 | 20 | |
| 11 | 435 | |
| 12 | 93 | |
| 13 | 38 | |
| 14 | 38 | |
| 15 | Induction of Lymphocyte Apoptosis by Tumor Cell Secretion of FasL-bearing Microvesiclesbreakdown → | 611 |
| 16 | 26 | |
| 17 | 72 | |
| 18 | Peptides derived from self-proteins as partial agonists and antagonists of human CD8+ T-cell clones reactive to melanoma/melanocyte epitope MART1(27-35). | 59 |
| 19 | 154 | |
| 20 | 16 |
About Paola Squarcina
Paola Squarcina is a scholar working on Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (9 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (679 citations) and Molecular Biology (1.4k citations). Paola Squarcina has collaborated with scholars based in Italy, United States and Qatar. Frequent co-authors include Giorgio Parmiani, Licia Rivoltini, Veronica Huber, Chiara Castelli, Luana Lugini, Stefano Fais, Massimo Gentile, Giuseppe Arancia, Paola Accornero and Francesco Lozupone. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.