G. Ucci

760 citations
8 papers · 90 · h-index 5

Impact in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Multiple Myeloma Research and Treatments

Papers in

    • Acute Myeloid Leukemia Research 2
    • Platelet Disorders and Treatments 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

G. Ucci

8 papers receiving 90 citations

Peers

G. Ucci
Comparison fields: 5 of 23
  • Genetics 56
  • Hematology 45
  • Rheumatology 28
  • Oncology 30
  • Nephrology 3
Replace Raffaele Tartaglione with:
Raffaele Tartaglione Italy
Lara Aprile Italy
Evgeni Chubar Israel
Eveline S. de Bont Netherlands
Lucy Pemberton United States
Stefano Ulisciani Italy
Micaela Bergamaschi Italy
Dana Banas United States
Bonnie Kho China
Viktor Rossiev Russia
G. Ucci relative to Raffaele Tartaglione Italy Raffaele Tartaglione's profile →
Citations per field
00.5×1.7×
Raffaele Tartaglione · 1×
Citations per year

Countries citing papers authored by G. Ucci

Since Specialization
Citations

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

Fields of papers citing papers by G. Ucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 199430
2 199118
3 200015
4 199413
5 19938
6
New approaches to cancer chemotherapy
19944
7 20051
8 19951

About G. Ucci

G. Ucci is a scholar working on Hematology, Genetics, Oncology, Nephrology and Rheumatology, having authored 8 papers that have together received 90 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer Treatment and Pharmacology (2 papers), Platelet Disorders and Treatments (2 papers), Biosimilars and Bioanalytical Methods (1 paper), Statistical Methods in Clinical Trials (1 paper), Breast Cancer Treatment Studies (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Genetics (56 citations), Hematology (45 citations), Rheumatology (28 citations), Oncology (30 citations) and Nephrology (3 citations). G. Ucci has collaborated with scholars based in Italy. Frequent co-authors include Alberto Riccardi, MF Martelli, Serena Rupoli, Stefano Sacchi, Pietro Leoni, Franca Falzetti, Antonio Tabilio, Francesco Saverio Robustelli della Cuna, G. Robustelli della Cuna and Alberto Zambelli. Their work appears in journals such as Annals of Hematology, Journal of Clinical Oncology, International Journal of Oncology, Breast Cancer Research and Treatment and Oncology Reports.

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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