Giuseppa Penna

1.2k citations
32 papers · 909 · h-index 16

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Multiple Myeloma Research and Treatments 6
    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 3
    • Circular RNAs in diseases 2

Giuseppa Penna

31 papers receiving 893 citations

Peers

Giuseppa Penna
Comparison fields: 5 of 85
  • Hematology 194
  • Cancer Research 235
  • Genetics 113
  • Oncology 213
  • Molecular Biology 428
Replace Saeid Shahrabi with:
Saeid Shahrabi Iran
Haifeng Zhao China
Elsie Oppermann Germany
Cecilie L. Bager Denmark
Yongmei Zhu China
Sujun Gao China
Jinxia Zhao China
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Giuseppa Penna relative to Saeid Shahrabi Iran Saeid Shahrabi's profile →
Citations per field
00.5×1.5×
Saeid Shahrabi · 1×
Citations per year

Countries citing papers authored by Giuseppa Penna

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppa Penna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012302
2 201466
3 201256
4 201344
5 201043
6 201038
7 201237
8 201136
9 200830
10 201327
11 201026
12 201025
13 201523
14 201022
15 201720
16 201515
17 201312
18 201212
19 201111
20 202411

About Giuseppa Penna

Giuseppa Penna is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Rheumatology, having authored 32 papers that have together received 909 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Hematology (194 citations), Cancer Research (235 citations), Genetics (113 citations), Oncology (213 citations) and Molecular Biology (428 citations). Giuseppa Penna has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Caterina Musolino, Alessandro Allegra, Andrea Alonci, Demetrio Gerace, Salvatore Campo, Annamaria Petrungaro, Sabina Russo, Vanessa Innao, Antonino Cannavò and Giacomo Bellomo. Their work appears in journals such as Acta Haematologica, Medical Oncology, European Journal Of Haematology, Hematological Oncology and Journal of Investigative Medicine.

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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