Paola Paci
- Cancer Research top 1%
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 13
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks 30
- RNA Research and Splicing 10
- Protein Structure and Dynamics 8
- Circular RNAs in diseases 7
- RNA modifications and cancer 6
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- Computational Drug Discovery Methods 20
- Infectious Diseases top 5%
- Physiology top 5%
- Co-authors
- Giulia FisconLorenzo FarinaFederica ConteTeresa ColomboValerio LicursiDaniele SantoniAlessandro GiulianiLuisa Di Paola
- Journals
- Chemical Reviews (1 paper)Physical Review Letters (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ItalyRussiaUnited States
In The Last Decade
Paola Paci
100 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 1.1k
- Molecular Biology 2.8k
- Computational Theory and Mathematics 413
- Infectious Diseases 369
- Physiology 418
Countries citing papers authored by Paola Paci
This map shows the geographic impact of Paola Paci'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 Paola Paci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Paci more than expected).
Fields of papers citing papers by Paola Paci
This network shows the impact of papers produced by Paola Paci. 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 Paola Paci. The network helps show where Paola Paci may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paola Paci, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 28 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 32 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 50 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 24 | |
| 18 | 2017 | 200 | |
| 19 | 2014 | 0 | |
| 20 | 2012 | 44 |
About Paola Paci
Paola Paci is a scholar working on Cancer Research, Computational Theory and Mathematics and Molecular Biology, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Computational Drug Discovery Methods (20 papers), MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (10 papers), Protein Structure and Dynamics (8 papers), Circular RNAs in diseases (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.8k citations) and Computational Theory and Mathematics (413 citations). Paola Paci has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Giulia Fiscon, Lorenzo Farina, Federica Conte, Teresa Colombo, Valerio Licursi, Daniele Santoni, Alessandro Giuliani, Luisa Di Paola, Giuseppe Macino and Lorenza Putignani. Their work appears in journals such as Chemical Reviews, Physical Review Letters and SHILAP Revista de lepidopterología.
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.