Daniela Piccioni

458 citations
22 papers · 228 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Glioma Diagnosis and Treatment

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Retinoids in leukemia and cellular processes 2
    • Acute Myeloid Leukemia Research 9

Daniela Piccioni

22 papers receiving 223 citations

Peers

Daniela Piccioni
Comparison fields: 5 of 50
  • Hematology 63
  • Genetics 39
  • Transplantation 5
  • Oncology 45
  • Public Health, Environmental and Occupational Health 36
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Citations per year

Countries citing papers authored by Daniela Piccioni

Since Specialization
Citations

This map shows the geographic impact of Daniela Piccioni'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 Piccioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Piccioni more than expected).

Fields of papers citing papers by Daniela Piccioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Piccioni. 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 Piccioni. The network helps show where Daniela Piccioni may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Piccioni, 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 Piccioni Line = papers co-authored together Daniela Piccioni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199546
2 199532
3 200831
4
Cytotoxic effects of dacarbazine in patients with acute myelogenous leukemia: a pilot study.
199218
5
Home care management of patients affected by hematologic malignancies: a review.
200618
6 201314
7
Case reports: zoster pain in haematological malignancies: effective pain relief with oxycodone in patients unresponsive to other analgesic measures.
20079
8 19958
9 20257
10 19937
11 20086
12 20244
13 20074
14 19894
15 20144
16 20124
17 20144
18 20253
19 20042
20 20091

About Daniela Piccioni

Daniela Piccioni is a scholar working on Molecular Biology, Hematology, Genetics, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 228 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Oral health in cancer treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (63 citations), Genetics (39 citations), Transplantation (5 citations), Oncology (45 citations) and Public Health, Environmental and Occupational Health (36 citations). Daniela Piccioni has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include A. Franchi, Stefania D’Atri, Pasquale Niscola, Marco Giovannini, Paolo de Fabritiis, Enzo Bonmassar, Giuseppe Francesco Sferrazza Papa, Andrea Tendas, Claudio Romani and Laura Scaramucci. Their work appears in journals such as Blood, Cancers, Annals of Oncology, Cardiovascular & Hematological Agents in Medicinal Chemistry 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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