Paola Bonizzoni
- Molecular Biology top 10%
- Genetics top 10%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Cancer Research
- Co-authors
- Gianluca Della VedovaRiccardo DondiRaffaella RizziYuri PirolaGiancarlo MauriGraziano PesoleJing LiStefano Beretta
- Topics
- Genomics and Phylogenetic Studies (34 papers)Algorithms and Data Compression (23 papers)RNA and protein synthesis mechanisms (18 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Paola Bonizzoni
90 papers receiving 930 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 751
- Genetics 245
- Artificial Intelligence 243
- Computational Theory and Mathematics 135
- Cancer Research 96
Countries citing papers authored by Paola Bonizzoni
This map shows the geographic impact of Paola Bonizzoni'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 Bonizzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Bonizzoni more than expected).
Fields of papers citing papers by Paola Bonizzoni
This network shows the impact of papers produced by Paola Bonizzoni. 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 Bonizzoni. The network helps show where Paola Bonizzoni may publish in the future.
Co-authorship network of co-authors of Paola Bonizzoni
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Bonizzoni. A scholar is included among the top collaborators of Paola Bonizzoni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paola Bonizzoni. Paola Bonizzoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 20 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | 1 | |
| 17 | Parameterized Complexity of k-Anonymity: Hardness and Tractability | 24 |
| 18 | 2 | |
| 19 | 45 | |
| 20 | Splicing systems with marked rules | 1 |
About Paola Bonizzoni
Paola Bonizzoni is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence, having authored 96 papers that have together received 954 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (34 papers), Algorithms and Data Compression (23 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Molecular Biology (751 citations), Genetics (245 citations) and Computational Theory and Mathematics (135 citations). Paola Bonizzoni has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Gianluca Della Vedova, Riccardo Dondi, Raffaella Rizzi, Yuri Pirola, Giancarlo Mauri, Graziano Pesole, Riccardo Dondi, Jing Li, Stefano Beretta and Simone Ciccolella. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.