Daniela Pasqualetti

701 citations
35 papers · 615 · h-index 13

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • T-cell and Retrovirus Studies

Papers in

    • Acute Myeloid Leukemia Research 9
    • Hemophilia Treatment and Research 3
    • Immune Cell Function and Interaction 4
    • T-cell and Retrovirus Studies 3

Daniela Pasqualetti

32 papers receiving 574 citations

Peers

Daniela Pasqualetti
Comparison fields: 5 of 41
  • Hematology 245
  • Immunology 180
  • Genetics 56
  • Pathology and Forensic Medicine 96
  • Biochemistry 14
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Citations per year

Countries citing papers authored by Daniela Pasqualetti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniela Pasqualetti Line = papers co-authored together Daniela Pasqualetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987154
2 198993
3 199051
4 199139
5 198437
6 198222
7 198922
8 201721
9 200319
10
Glucocorticoid receptor determinations in leukemia patients using cytosol and whole-cell assays.
198117
11 198914
12 198513
13 198613
14
CD5 negative lymphocytosis mimicking typical B-chronic lymphocytic leukaemia. Description of 26 cases.
199312
15
Prednisone versus deflazacort in the treatment of autoimmune thrombocytopenic purpura: evaluation of clinical response and immunological modifications.
199211
16 19878
17 19898
18 20168
19
Relevance of 3A1 monoclonal antibody in the diagnosis of T-cell acute lymphoblastic leukemia.
19857
20 19867

About Daniela Pasqualetti

Daniela Pasqualetti is a scholar working on Hematology, Immunology, Genetics, Virology and Biochemistry, having authored 35 papers that have together received 615 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Hemophilia Treatment and Research (3 papers), T-cell and Retrovirus Studies (3 papers), Blood transfusion and management (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hematology (245 citations), Immunology (180 citations), Genetics (56 citations), Pathology and Forensic Medicine (96 citations) and Biochemistry (14 citations). Daniela Pasqualetti has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Giulio Rossi, Manuela Lopez, Franco Mandelli, Francesco Lo‐Coco, Franco Pandolfi, Daniela Diverio, Susanna Fenu, Roberto Latagliata, Gianpietro Semenzato and Enrico Dini. Their work appears in journals such as British Journal of Haematology, Blood, Leukemia Research, Acta Haematologica and Annals of Hematology.

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.

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