Roberta Pireddu

876 citations
16 papers · 744 · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways

Papers in

    • Melanoma and MAPK Pathways 5
    • Protein Kinase Regulation and GTPase Signaling 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • Glycosylation and Glycoproteins Research 2
    • Protein Degradation and Inhibitors 2
    • Protein Tyrosine Phosphatases 2

Roberta Pireddu

14 papers receiving 728 citations

Peers

Roberta Pireddu
Comparison fields: 5 of 61
  • Hematology 130
  • Oncology 239
  • Toxicology 31
  • Molecular Biology 467
  • Cell Biology 94
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Roberta Pireddu relative to Nanni Huser United States Nanni Huser's profile →
Citations per field
00.5×2.6×
Nanni Huser · 1×
Citations per year

Countries citing papers authored by Roberta Pireddu

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Pireddu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009148
2 2012128
3 2013126
4 200885
5 201260
6 201254
7 201247
8 201244
9 201319
10 201018
11 20075
12 20045
13 20124
14 20221
15 20230
16 20210

About Roberta Pireddu

Roberta Pireddu is a scholar working on Molecular Biology, Oncology, Cell Biology, Organic Chemistry and Hematology, having authored 16 papers that have together received 744 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Microtubule and mitosis dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Degradation and Inhibitors (2 papers), Protein Tyrosine Phosphatases (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (130 citations), Oncology (239 citations), Toxicology (31 citations), Molecular Biology (467 citations) and Cell Biology (94 citations). Roberta Pireddu has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Saı̈d M. Sebti, Nicholas J. Lawrence, Harshani R. Lawrence, E. Schönbrunn, Mathew P. Martin, Wayne C. Guida, Hua Yang, Yunting Luo, Nan Sun and Ying Sun. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, MedChemComm, ACS Chemical Biology and Molecular Cancer Therapeutics.

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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