Daniela Piranda

601 citations
7 papers · 505 · h-index 6

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Estrogen and related hormone effects
    • Lymphoma Diagnosis and Treatment

Papers in

    • Chronic Lymphocytic Leukemia Research 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1
    • Lymphoma Diagnosis and Treatment 2
    • Genetic factors in colorectal cancer 1

Daniela Piranda

7 papers receiving 499 citations

Peers

Daniela Piranda
Comparison fields: 5 of 57
  • Genetics 197
  • Pathology and Forensic Medicine 215
  • Hematology 73
  • Oncology 119
  • Immunology 85
Replace Christopher S. Thom with:
Christopher S. Thom United States
Daniel Jones United States
Bj�rn Jacobsson Sweden
Enrica Antonia Martino Italy
Alessandra Trojani Italy
Federica De Marco Italy
Maurizio Trubia Italy
Mylène Gadoux France
Jesús María Hernández-Sánchez Spain
Ricardo Alvarez United States
Daniela Piranda relative to Christopher S. Thom United States Christopher S. Thom's profile →
Citations per field
00.5×1.5×1.8×
Christopher S. Thom · 1×
Citations per year

Countries citing papers authored by Daniela Piranda

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Piranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2012313
2 200489
3 200850
4 200620
5 200617
6 201213
7 20123

About Daniela Piranda

Daniela Piranda is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Physiology and Oncology, having authored 7 papers that have together received 505 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Genetic factors in colorectal cancer (1 paper), Galectins and Cancer Biology (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Genetics (197 citations), Pathology and Forensic Medicine (215 citations), Hematology (73 citations), Oncology (119 citations) and Immunology (85 citations). Daniela Piranda has collaborated with scholars based in Italy, Thailand and United States. Frequent co-authors include Andrea Graziani, Fabiola Sinigaglia, Laura Moro, Mauro Torti, Alessandra Bertoni, Paola Defilippi, Ilaria Canobbio, Stefania Reineri, Paolo Lova and Clara Deambrogi. Their work appears in journals such as Journal of Hepatology, The Journal of Experimental Medicine, Hematological Oncology, 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.

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