Giulia Fontemaggi

4.9k citations
58 papers · 3.7k indexed · h-index 33

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Cancer-related Molecular Pathways

Papers in

    • MicroRNA in disease regulation 18
    • Cancer-related molecular mechanisms research 18
    • Cancer-related Molecular Pathways 24

Giulia Fontemaggi

58 papers receiving 3.6k citations

Peers

Giulia Fontemaggi
Comparison fields: 5 of 101
  • Cancer Research 1.2k
  • Oncology 1.6k
  • Biotechnology 423
  • Molecular Biology 2.8k
  • Cell Biology 438
Replace Daniele Bergamaschi with:
Daniele Bergamaschi United Kingdom
Mark K. Saville United Kingdom
Carl G. Maki United States
William Walsh United States
Gareth L. Bond United Kingdom
Chizu Tanikawa Japan
Pumin Zhang United States
Stewart Bates United States
Karsten Zieger Denmark
Christophe Denoyelle France
Giulia Fontemaggi relative to Daniele Bergamaschi United Kingdom Daniele Bergamaschi's profile →
Citations per field
00.5×1.5×2.5×
Daniele Bergamaschi · 1×
Citations per year

Countries citing papers authored by Giulia Fontemaggi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Fontemaggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20245
3 202212
4 20221
5 202114
6 201932
7 201840
8 201866
9 201774
10 201330
11 201112
12 2010196
13 2007170
14 2005299
15 200358
16 2002261
17 20013
18 200180
19 200161
20 199999

About Giulia Fontemaggi

Giulia Fontemaggi is a scholar working on Cancer Research, Oncology, Biotechnology, Molecular Biology and Cell Biology, having authored 58 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (24 papers), MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (17 papers), Circular RNAs in diseases (12 papers), RNA Research and Splicing (12 papers), Cancer Research and Treatments (7 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.6k citations), Biotechnology (423 citations), Molecular Biology (2.8k citations) and Cell Biology (438 citations). Giulia Fontemaggi has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Giovanni Blandino, Sabrina Strano, Ada Sacchi, Silvia Di Agostino, Massimo Levrero, Giulia Piaggio, Francesco Fazi, Stefania Dell’Orso, Sara Donzelli and Paola Muti. Their work appears in journals such as Oncogene, Cell Death and Disease, Molecular Cell, Frontiers in Cell and Developmental Biology and Head & Neck.

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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