Daniela Pasqualetti

709 citations
35 papers · 594 · h-index 13

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 10
    • Chronic Myeloid Leukemia Treatments 6
    • Immune Cell Function and Interaction 5
    • T-cell and Retrovirus Studies 5

Daniela Pasqualetti

34 papers receiving 563 citations

Peers

Daniela Pasqualetti
Comparison fields: 5 of 59
  • Hematology 281
  • Genetics 148
  • Immunology 290
  • Pathology and Forensic Medicine 157
  • Biochemistry 23
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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 1987148
2 198993
3 199051
4 198436
5 199135
6 198920
7 198220
8 200319
9 201716
10 198915
11
Glucocorticoid receptor determinations in leukemia patients using cytosol and whole-cell assays.
198115
12 198613
13
CD5 negative lymphocytosis mimicking typical B-chronic lymphocytic leukaemia. Description of 26 cases.
199313
14 198512
15
Prednisone versus deflazacort in the treatment of autoimmune thrombocytopenic purpura: evaluation of clinical response and immunological modifications.
199211
16 19868
17 19878
18
Relevance of 3A1 monoclonal antibody in the diagnosis of T-cell acute lymphoblastic leukemia.
19857
19 20167
20 19897

About Daniela Pasqualetti

Daniela Pasqualetti is a scholar working on Hematology, Immunology, Genetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, 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), Acute Lymphoblastic Leukemia research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and Retrovirus Studies (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (281 citations), Genetics (148 citations), Immunology (290 citations), Pathology and Forensic Medicine (157 citations) and Biochemistry (23 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, Daniela Diverio, Roberto Latagliata, Susanna Fenu, Gianpietro Semenzato and Giovanni Pizzolo. 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.

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