Alessandra Picardi
- Hematology top 1%
- Oncology top 10%
- Immunology
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- William ArceseLaura CudilloSergio AmadoriRaffaella CerrettiPaolo de FabritiisGottardo De AngelisStella SantaronePaolo Di Bartolomeo
- Topics
- Hematopoietic Stem Cell Transplantation (44 papers)Acute Myeloid Leukemia Research (22 papers)Acute Lymphoblastic Leukemia research (13 papers)
- Cited by
- HematologyTransplantationGenetics
- Journals
- SHILAP Revista de lepidopterologíaBloodBritish Journal of Haematology
In The Last Decade
Alessandra Picardi
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Hematology 657
- Oncology 256
- Immunology 202
- Public Health, Environmental and Occupational Health 193
- Epidemiology 189
Countries citing papers authored by Alessandra Picardi
This map shows the geographic impact of Alessandra Picardi'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 Alessandra Picardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Picardi more than expected).
Fields of papers citing papers by Alessandra Picardi
This network shows the impact of papers produced by Alessandra Picardi. 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 Alessandra Picardi. The network helps show where Alessandra Picardi may publish in the future.
Co-authorship network of co-authors of Alessandra Picardi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Picardi. A scholar is included among the top collaborators of Alessandra Picardi 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 Alessandra Picardi. Alessandra Picardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | Quality controls of cord blood units according to JACIE standards are highly predictive in unrelated cord blood transplant | 1 |
| 14 | 36 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 27 | |
| 19 | 47 | |
| 20 | 22 |
About Alessandra Picardi
Alessandra Picardi is a scholar working on Hematology, Transplantation and Genetics, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (44 papers), Acute Myeloid Leukemia Research (22 papers) and Acute Lymphoblastic Leukemia research (13 papers). The work is most often cited by research in Hematology (657 citations), Transplantation (48 citations) and Genetics (167 citations). Alessandra Picardi has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include William Arcese, Laura Cudillo, Sergio Amadori, Raffaella Cerretti, Paolo de Fabritiis, Gottardo De Angelis, Stella Santarone, Paolo Di Bartolomeo, Gaspare Adorno and Felicetto Ferrara. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and British Journal of Haematology.
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.