Matilde Sinibaldi
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 20
- CAR-T cell therapy research 20
- Cancer Immunotherapy and Biomarkers 1
-
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- Franco Locatelli (10 shared papers)Concetta Quintarelli (7 shared papers)Biagio De Angelis (4 shared papers)Rita Carsetti (2 shared papers)Alaitz Aranburu (1 shared paper)Federica Capolunghi (1 shared paper)Maria Manuela Rosado (1 shared paper)Francesca Del Bufalo (4 shared papers)
In The Last Decade
Matilde Sinibaldi
30 papers receiving 1.4k citations
Matilde Sinibaldi's Hit Papers
Peers
Comparison fields: 5 of 53
- Oncology 869
- Immunology 251
- Neurology 123
- Genetics 70
- Hematology 88
Countries citing papers authored by Matilde Sinibaldi
This map shows the geographic impact of Matilde Sinibaldi'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 Sinibaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matilde Sinibaldi more than expected).
Fields of papers citing papers by Matilde Sinibaldi
This network shows the impact of papers produced by Matilde Sinibaldi. 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 Sinibaldi. The network helps show where Matilde Sinibaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Matilde Sinibaldi, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GD2-CART01 for Relapsed or Refractory High-Risk Neuroblastoma Hit paper breakdown → | 2023 | 409 |
| 2 | 2018 | 129 | |
| 3 | 2013 | 89 | |
| 4 | 2022 | 85 | |
| 5 | 2019 | 80 | |
| 6 | 2021 | 74 | |
| 7 | 2018 | 68 | |
| 8 | 2021 | 61 | |
| 9 | 2020 | 55 | |
| 10 | 2023 | 54 | |
| 11 | 2021 | 46 | |
| 12 | 2024 | 42 | |
| 13 | 2020 | 29 | |
| 14 | 2023 | 29 | |
| 15 | 2024 | 28 | |
| 16 | 2025 | 23 | |
| 17 | 2017 | 18 | |
| 18 | 2025 | 18 | |
| 19 | 2022 | 15 | |
| 20 | 2024 | 13 |
About Matilde Sinibaldi
Matilde Sinibaldi is a scholar working on Oncology, Hematology, Immunology, Neurology and Infectious Diseases, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (20 papers), Hematopoietic Stem Cell Transplantation (5 papers), Neuroblastoma Research and Treatments (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Inflammatory Myopathies and Dermatomyositis (1 paper), Clinical Laboratory Practices and Quality Control (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (869 citations), Immunology (251 citations), Neurology (123 citations), Genetics (70 citations) and Hematology (88 citations). Matilde Sinibaldi has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Franco Locatelli, Concetta Quintarelli, Biagio De Angelis, Rita Carsetti, Alaitz Aranburu, Federica Capolunghi, Maria Manuela Rosado, Francesca Del Bufalo, Ignazio Caruana and Marika Guercio. Their work appears in journals such as Blood, Nature Medicine, Frontiers in Immunology, Journal of Hematology & Oncology and Blood Advances.
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.