Michela Garofalo

8.6k citations
53 papers · 5.1k indexed · 1 hit paper · h-index 33
    • MicroRNA in disease regulation 31
    • Cancer-related molecular mechanisms research 19
    • Circular RNAs in diseases 19
    • RNA modifications and cancer 12
    • RNA Interference and Gene Delivery 7
    • Cell death mechanisms and regulation 6
    • RNA Research and Splicing 5
  • Oncology top 10%
  • Immunology top 10%
    • interferon and immune responses 3
  • Hematology top 5%

Michela Garofalo

53 papers receiving 5.0k citations

Hit Papers

MicroRNAs in Cancer1.4k20132026201720214008001.2k

Peers

Michela Garofalo
Comparison fields: 5 of 109
  • Cancer Research 3.8k
  • Molecular Biology 4.2k
  • Oncology 449
  • Immunology 327
  • Hematology 167
Replace Francesca Lovat with:
Francesca Lovat United States
Gianpiero Di Leva United States
Andrei Thomas‐Tikhonenko United States
Alfons Navarro Spain
Sun-Mi Park United States
Lintao Jia China
Zhaoqun Deng China
Reo Maruyama Japan
Michela Garofalo relative to Francesca Lovat United States Francesca Lovat's profile →
Citations per field
00.5×3.3×
Francesca Lovat · 1×
Citations per year

Countries citing papers authored by Michela Garofalo

Since Specialization
Citations

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

Fields of papers citing papers by Michela Garofalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202339
2 20231
3 202117
4 202119
5 202132
6 202062
7 201528
8 201534
9 201497
10 2013103
11 201322
12 201332
13 2013132
14 201245
15 2011153
16 201112
17 2010110
18 2010257
19 200837
20 2008231

About Michela Garofalo

Michela Garofalo is a scholar working on Cancer Research, Molecular Biology and Internal Medicine, having authored 53 papers that have together received 5.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (31 papers), Circular RNAs in diseases (19 papers), Cancer-related molecular mechanisms research (19 papers), RNA modifications and cancer (12 papers), RNA Interference and Gene Delivery (7 papers), Cell death mechanisms and regulation (6 papers), RNA Research and Splicing (5 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (3.8k citations), Molecular Biology (4.2k citations) and Oncology (449 citations). Michela Garofalo has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Carlo M. Croce, Gianpiero Di Leva, Gerolama Condorelli, Giulia Romano, Cristina Quintavalle, Ciro Zanca, Srivatsava Naidu, Lei Shi, Peter Magee and Gerard J. Nuovo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

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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