Gianluca Azzalin

1.4k citations
12 papers · 681 · h-index 10

Impact in

    • Plant and Fungal Interactions Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 3
    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 3
    • RNA Interference and Gene Delivery 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 4

Gianluca Azzalin

12 papers receiving 664 citations

Peers

Gianluca Azzalin
Comparison fields: 5 of 60
  • Endocrinology 70
  • Cancer Research 165
  • Aging 12
  • Molecular Biology 462
  • Plant Science 255
Replace Erwin van Dijk with:
Erwin van Dijk France
Silvia Rüberg Germany
Zhenping Liu China
Barbara M. Coffey Ireland
Chao Wei China
Laurentijn Tilleman Belgium
Hao Dong China
Manabu Watanabe Japan
Dong Yu China
Gianluca Azzalin relative to Erwin van Dijk France Erwin van Dijk's profile →
Citations per field
00.5×2.7×
Erwin van Dijk · 1×
Citations per year

Countries citing papers authored by Gianluca Azzalin

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Azzalin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2000184
2 2002141
3 200484
4 200960
5 201554
6 201454
7 201049
8 201819
9 202118
10
Characterization of HuH6, Hep3B, HepG2 and HLE liver cancer cell lines by WNT/β - catenin pathway, microRNA expression and protein expression profile.
201015
11 20062
12 20161

About Gianluca Azzalin

Gianluca Azzalin is a scholar working on Molecular Biology, Cancer Research, Ecology, Genetics and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 681 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), RNA Interference and Gene Delivery (2 papers), Bacteriophages and microbial interactions (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Endocrinology (70 citations), Cancer Research (165 citations), Aging (12 citations), Molecular Biology (462 citations) and Plant Science (255 citations). Gianluca Azzalin has collaborated with scholars based in Italy. Frequent co-authors include Giuseppe Macino, Carlo Cogoni, Caterina Catalanotto, Marina Goldoni, Claudia Carissimi, Valerio Fulci, Ilaria Laudadio, Teresa Colombo, Silvia Gioiosa and Stefano Lorenzetti. Their work appears in journals such as Data in Brief, Reproductive Toxicology, Nature, EMBO Reports and RNA Biology.

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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