Giulia Piaggio

6.9k citations
100 papers · 4.9k indexed · 1 hit paper · h-index 41
    • MicroRNA in disease regulation 12
    • Cancer, Hypoxia, and Metabolism 7
  • Oncology top 2%
    • Cancer-related Molecular Pathways 13
    • RNA Research and Splicing 19
    • RNA modifications and cancer 8
    • Ubiquitin and proteasome pathways 6
    • Genomics and Chromatin Dynamics 6
  • Aging top 5%
    • Cancer Research and Treatments 6

Giulia Piaggio

98 papers receiving 4.8k citations

Hit Papers

Homeodomain-interacting protein kinase-2 phosphorylates p...5652001202620092017100200300400500

Peers

Giulia Piaggio
Comparison fields: 5 of 129
  • Cancer Research 1.2k
  • Oncology 1.5k
  • Molecular Biology 3.4k
  • Aging 61
  • Biotechnology 260
Replace Emily I. Chen with:
Emily I. Chen United States
Katsutoshi Oda Japan
Yoshio Miki Japan
Chuan‐Yuan Li United States
Hal W. Hirte Canada
Muh‐Hwa Yang Taiwan
Julia I-Ju Leu United States
Ilsa M. Coleman United States
Ann‐Joy Cheng Taiwan
Cornelius Miething Germany
Giulia Piaggio relative to Emily I. Chen United States Emily I. Chen's profile →
Citations per field
00.5×1.5×2.1×
Emily I. Chen · 1×
Citations per year

Countries citing papers authored by Giulia Piaggio

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Piaggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 202235
3 20219
4 2021107
5 202024
6 202019
7 20193
8 201734
9 201638
10 201671
11 201413
12 201367
13 201229
14 201034
15 200842
16 200376
17 200143
18 1999107
19 199011
20 19895

About Giulia Piaggio

Giulia Piaggio is a scholar working on Cancer Research, Oncology and Immunology, having authored 100 papers that have together received 4.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (19 papers), Cancer-related Molecular Pathways (13 papers), MicroRNA in disease regulation (12 papers), RNA modifications and cancer (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Ubiquitin and proteasome pathways (6 papers), Genomics and Chromatin Dynamics (6 papers) and Cancer Research and Treatments (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.5k citations) and Molecular Biology (3.4k citations). Giulia Piaggio has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Aymone Gurtner, Isabella Manni, Ada Sacchi, Roberto Mantovani, Silvia Soddu, Giovanni Blandino, Giulia Fontemaggi, Sabrina Strano, Giannino Del Sal and Silvia Di Agostino. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Oncogene, Journal of Biological Chemistry, Molecular and Cellular Biology and Oncotarget.

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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2026