Luisa Statello
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
Papers in
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 5
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- RNA Research and Splicing 8
- RNA modifications and cancer 4
- Extracellular vesicles in disease 4
- DNA Repair Mechanisms 2
- Circular RNAs in diseases 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Maite Huarte (5 shared papers)Ling‐Ling Chen (1 shared paper)Chunjie Guo (1 shared paper)Michele Purrello (7 shared papers)Marco Ragusa (7 shared papers)Cinzia Di Pietro (7 shared papers)Hadi Valadi (4 shared papers)Davide Barbagallo (6 shared papers)
In The Last Decade
Luisa Statello
19 papers receiving 4.4k citations
Luisa Statello's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 2.7k
- Molecular Biology 3.0k
- Endocrinology 91
- Immunology 290
- Ophthalmology 67
Countries citing papers authored by Luisa Statello
This map shows the geographic impact of Luisa Statello'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 Luisa Statello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Statello more than expected).
Fields of papers citing papers by Luisa Statello
This network shows the impact of papers produced by Luisa Statello. 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 Luisa Statello. The network helps show where Luisa Statello may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Statello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Gene regulation by long non-coding RNAs and its biological functions Hit paper breakdown → | 2020 | 3511 |
| 2 | 2018 | 211 | |
| 3 | 2015 | 149 | |
| 4 | 2010 | 87 | |
| 5 | 2018 | 85 | |
| 6 | 2012 | 84 | |
| 7 | 2022 | 76 | |
| 8 | 2013 | 44 | |
| 9 | 2014 | 41 | |
| 10 | 2015 | 38 | |
| 11 | 2010 | 36 | |
| 12 | 2010 | 25 | |
| 13 | 2009 | 22 | |
| 14 | 2021 | 19 | |
| 15 | 2023 | 15 | |
| 16 | 2021 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 4 |
About Luisa Statello
Luisa Statello is a scholar working on Cancer Research, Molecular Biology, Ophthalmology, Plant Science and Neurology, having authored 19 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (8 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers), Extracellular vesicles in disease (4 papers), DNA Repair Mechanisms (2 papers), Circular RNAs in diseases (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (2.7k citations), Molecular Biology (3.0k citations), Endocrinology (91 citations), Immunology (290 citations) and Ophthalmology (67 citations). Luisa Statello has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Maite Huarte, Ling‐Ling Chen, Chunjie Guo, Michele Purrello, Marco Ragusa, Cinzia Di Pietro, Hadi Valadi, Davide Barbagallo, Jessica Wahlgren and Marco Maugeri. Their work appears in journals such as Nature Communications, Oncogene, Journal of Molecular Medicine, The EMBO Journal and Cancer Biology & Therapy.
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.