Davide Pradella
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
Papers in
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- RNA Research and Splicing 10
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 5
- RNA regulation and disease 1
- RNA Interference and Gene Delivery 1
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Claudia Ghigna (10 shared papers)Claudio Sette (1 shared paper)Chiara Naro (1 shared paper)Anna Di Matteo (6 shared papers)Elisa Belloni (5 shared papers)Maria Paola Paronetto (1 shared paper)Paola Frisone (1 shared paper)Angela Amato (1 shared paper)
- Journals
- Cells (3 papers)Cancers (2 papers)Molecular Cancer (1 paper)Aging Clinical and Experimental Research (1 paper)BioMed Research International (1 paper)
- Partner nations
- ItalySouth KoreaUnited States
In The Last Decade
Davide Pradella
10 papers receiving 436 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 111
- Molecular Biology 323
- Oncology 80
- Immunology and Allergy 8
- Genetics 13
Countries citing papers authored by Davide Pradella
This map shows the geographic impact of Davide Pradella'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 Davide Pradella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Pradella more than expected).
Fields of papers citing papers by Davide Pradella
This network shows the impact of papers produced by Davide Pradella. 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 Davide Pradella. The network helps show where Davide Pradella may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Pradella, 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 | 2017 | 235 | |
| 2 | 2015 | 74 | |
| 3 | 2019 | 52 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2021 | 6 |
About Davide Pradella
Davide Pradella is a scholar working on Molecular Biology, Cancer Research, Immunology and Allergy, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 440 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (5 papers), Cancer-related molecular mechanisms research (3 papers), Cell Adhesion Molecules Research (1 paper), RNA regulation and disease (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cancer Research (111 citations), Molecular Biology (323 citations), Oncology (80 citations), Immunology and Allergy (8 citations) and Genetics (13 citations). Davide Pradella has collaborated with scholars based in Italy, South Korea and United States. Frequent co-authors include Claudia Ghigna, Claudio Sette, Chiara Naro, Anna Di Matteo, Elisa Belloni, Maria Paola Paronetto, Paola Frisone, Angela Amato, Giuseppe Biamonti and Xuexiu Zheng. Their work appears in journals such as Cells, Cancers, Molecular Cancer, Aging Clinical and Experimental Research and BioMed Research International.
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.