Daniela Pasqualetti
- Hematology top 5%
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 6
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 7
- Immunology top 10%
- T-cell and Retrovirus Studies 5
- Immune Cell Function and Interaction 5
- Immunodeficiency and Autoimmune Disorders 3
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 8
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- Acute Lymphoblastic Leukemia research 6
- Co-authors
- Giulio RossiFranco MandelliManuela LopezFrancesco Lo‐CocoFranco PandolfiSusanna FenuDaniela DiverioRoberto Latagliata
- Cited by
- HematologyGeneticsImmunology
In The Last Decade
Daniela Pasqualetti
34 papers receiving 563 citations
Peers
Comparison fields: 5 of 59
- Hematology 281
- Genetics 148
- Immunology 290
- Pathology and Forensic Medicine 157
- Biochemistry 23
Countries citing papers authored by Daniela Pasqualetti
This map shows the geographic impact of Daniela Pasqualetti'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 Daniela Pasqualetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pasqualetti more than expected).
Fields of papers citing papers by Daniela Pasqualetti
This network shows the impact of papers produced by Daniela Pasqualetti. 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 Daniela Pasqualetti. The network helps show where Daniela Pasqualetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Pasqualetti, 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 | 16 | |
| 2 | 2016 | 2 | |
| 3 | 2004 | 5 | |
| 4 | 2003 | 6 | |
| 5 | 2003 | 19 | |
| 6 | 1991 | 35 | |
| 7 | Simultaneous occurrence of larynx carcinoma and acute blastic transformation in a patient with essential thrombocythemia. | 1991 | 2 |
| 8 | 1990 | 51 | |
| 9 | Spectrum of HIV infection and AIDS in a cohort of Italian hemophiliacs. | 1989 | 2 |
| 10 | 1989 | 3 | |
| 11 | 1989 | 93 | |
| 12 | 1989 | 20 | |
| 13 | 1989 | 6 | |
| 14 | 1987 | 148 | |
| 15 | 1987 | 1 | |
| 16 | 1987 | 3 | |
| 17 | 1985 | 0 | |
| 18 | Immunological abnormalities in treated hemophiliacs (an Italian study). | 1984 | 1 |
| 19 | 1984 | 36 | |
| 20 | Immunological rebound following cessation of chemotherapy in 15 acute lymphoid leukemia patients in complete remission. | 1978 | 2 |
About Daniela Pasqualetti
Daniela Pasqualetti is a scholar working on Hematology, Genetics and Immunology, having authored 35 papers that have together received 594 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (6 papers), T-cell and Retrovirus Studies (5 papers), Immune Cell Function and Interaction (5 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Hematology (281 citations), Genetics (148 citations) and Immunology (290 citations). Daniela Pasqualetti has collaborated with scholars based in Italy, Australia and Germany. Frequent co-authors include Giulio Rossi, Franco Mandelli, Manuela Lopez, Francesco Lo‐Coco, Franco Pandolfi, Susanna Fenu, Daniela Diverio, Roberto Latagliata, Gianpietro Semenzato and M. C. Giubellino. Their work appears in journals such as British Journal of Haematology, Cancer, Leukemia Research, Annals of Hematology and Acta Haematologica.
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.