Matilde D’Asaro
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Bone health and treatments
- Cancer Cells and Metastasis
Papers in
-
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- Nadia Caccamo (8 shared papers)Francesco Dieli (8 shared papers)Serena Meraviglia (7 shared papers)Alfredo Salerno (5 shared papers)Valentina Orlando (4 shared papers)Giorgio Stassi (4 shared papers)Carmela La Mendola (5 shared papers)Matilde Todaro (4 shared papers)
- Journals
- The Journal of Immunology (2 papers)Clinical & Experimental Immunology (1 paper)PLoS ONE (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Matilde D’Asaro
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Immunology 841
- Oncology 635
- Cancer Research 141
- Virology 18
- Radiology, Nuclear Medicine and Imaging 81
Countries citing papers authored by Matilde D’Asaro
This map shows the geographic impact of Matilde D’Asaro'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 Matilde D’Asaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matilde D’Asaro more than expected).
Fields of papers citing papers by Matilde D’Asaro
This network shows the impact of papers produced by Matilde D’Asaro. 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 Matilde D’Asaro. The network helps show where Matilde D’Asaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Matilde D’Asaro, 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 | 2007 | 406 | |
| 2 | 2010 | 256 | |
| 3 | 2009 | 239 | |
| 4 | 2012 | 170 | |
| 5 | 2010 | 118 | |
| 6 | Efficient killing of human colon cancer stem cells by gammadelta T lymphocytes | 2009 | 85 |
| 7 | 2006 | 19 | |
| 8 | 2009 | 7 | |
| 9 | 2003 | 6 | |
| 10 | A SUBSET OF VGAMMA9 VDELTA2 T CELLS HELP B CELLS FOR ANTIBODY PRODUCTION. | 2006 | 1 |
About Matilde D’Asaro
Matilde D’Asaro is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (2 papers), Cancer-related molecular mechanisms research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Virus-based gene therapy research (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (841 citations), Oncology (635 citations), Cancer Research (141 citations), Virology (18 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Matilde D’Asaro has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Nadia Caccamo, Francesco Dieli, Serena Meraviglia, Alfredo Salerno, Valentina Orlando, Giorgio Stassi, Carmela La Mendola, Matilde Todaro, Giuseppe Cicero and Simona Buccheri. Their work appears in journals such as The Journal of Immunology, Clinical & Experimental Immunology, PLoS ONE, Journal of Cellular and Molecular Medicine and Cancer 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.