Paola Bonizzoni

2.3k total citations
96 papers, 954 citations indexed

About

Paola Bonizzoni is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Paola Bonizzoni has authored 96 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 30 papers in Artificial Intelligence and 27 papers in Computational Theory and Mathematics. Recurrent topics in Paola Bonizzoni's work include Genomics and Phylogenetic Studies (34 papers), Algorithms and Data Compression (23 papers) and RNA and protein synthesis mechanisms (18 papers). Paola Bonizzoni is often cited by papers focused on Genomics and Phylogenetic Studies (34 papers), Algorithms and Data Compression (23 papers) and RNA and protein synthesis mechanisms (18 papers). Paola Bonizzoni collaborates with scholars based in Italy, United States and France. Paola Bonizzoni's 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 and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Paola Bonizzoni

90 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paola Bonizzoni Italy 19 751 245 243 135 96 96 954
Gianluca Della Vedova Italy 15 526 0.7× 192 0.8× 214 0.9× 50 0.4× 78 0.8× 68 801
Misha Kapushesky United Kingdom 17 1.4k 1.9× 219 0.9× 142 0.6× 93 0.7× 175 1.8× 24 1.8k
Dong-Yeon Cho United States 13 547 0.7× 154 0.6× 66 0.3× 78 0.6× 85 0.9× 24 775
Alain Coletta Belgium 9 760 1.0× 90 0.4× 266 1.1× 51 0.4× 124 1.3× 12 1.2k
Xiguo Yuan China 17 622 0.8× 411 1.7× 135 0.6× 44 0.3× 265 2.8× 72 1.0k
Duolin Wang United States 15 874 1.2× 144 0.6× 77 0.3× 89 0.7× 99 1.0× 43 1.2k
Manuel Holtgrewe Germany 15 598 0.8× 344 1.4× 158 0.7× 17 0.1× 105 1.1× 37 927
S. Cenk Şahinalp United States 17 831 1.1× 187 0.8× 84 0.3× 63 0.5× 296 3.1× 34 1.3k
Jörg Hakenberg United States 22 1.4k 1.9× 288 1.2× 709 2.9× 128 0.9× 58 0.6× 40 1.7k
Minghua Deng China 19 895 1.2× 89 0.4× 157 0.6× 90 0.7× 151 1.6× 49 1.2k

Countries citing papers authored by Paola Bonizzoni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bonizzoni, Paola, et al.. (2024). RecGraph: recombination-aware alignment of sequences to variation graphs. Bioinformatics. 40(5). 1 indexed citations
2.
Rossi, Massimiliano, et al.. (2023). μ- PBWT: a lightweight r-indexing of the PBWT for storing and querying UK Biobank data. Bioinformatics. 39(9).
3.
Rossi, Massimiliano, Marco Antônio Oliva, Paola Bonizzoni, et al.. (2022). Finding Maximal Exact Matches Using the r-Index. Journal of Computational Biology. 29(2). 188–194. 1 indexed citations
4.
Ciccolella, Simone, et al.. (2020). Triplet-based similarity score for fully multilabeled trees with poly-occurring labels. Bioinformatics. 37(2). 178–184. 10 indexed citations
5.
Pirola, Yuri, et al.. (2020). Shark: fishing relevant reads in an RNA-Seq sample. Bioinformatics. 37(4). 464–472. 4 indexed citations
6.
Ciccolella, Simone, Camir Ricketts, Mauricio Soto, et al.. (2020). Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses. Bioinformatics. 37(3). 326–333. 20 indexed citations
7.
Bonizzoni, Paola, et al.. (2020). On Two Measures of Distance Between Fully-Labelled Trees. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 161. 16. 1 indexed citations
8.
Bonizzoni, Paola, et al.. (2019). Unavoidable Sets, Prefix Graphs and Regularity of Circular Splicing Languages. Fundamenta Informaticae. 171(1-4). 81–95. 1 indexed citations
9.
Bonizzoni, Paola, et al.. (2019). Multithread Multistring Burrows–Wheeler Transform and Longest Common Prefix Array. Journal of Computational Biology. 26(9). 948–961. 8 indexed citations
10.
Schönhuth, Alexander, et al.. (2019). MALVA: Genotyping by Mapping-free ALlele Detection of Known VAriants. iScience. 18. 20–27. 18 indexed citations
11.
Bonizzoni, Paola, Anna Paola Carrieri, Gianluca Della Vedova, Raffaella Rizzi, & Gabriella Trucco. (2016). A colored graph approach to perfect phylogeny with persistent characters. Theoretical Computer Science. 658. 60–73. 6 indexed citations
12.
Beretta, Stefano, Paola Bonizzoni, Gianluca Della Vedova, Yuri Pirola, & Raffaella Rizzi. (2013). Modeling Alternative Splicing Variants from RNA-Seq Data with Isoform Graphs. Journal of Computational Biology. 21(1). 16–40. 13 indexed citations
13.
Bonizzoni, Paola, Vasco Brattka, & Benedikt Löwe. (2013). The Nature of Computation : Logic, Algorithms, Applications : 9th Conference on Computability in Europe, CiE 2013, Milan, Italy, July 1-5, 2013 : proceedings. Lecture notes in computer science. 7921. 3 indexed citations
14.
Bonizzoni, Paola, Gianluca Della Vedova, & Riccardo Dondi. (2011). A randomized PTAS for the minimum Consensus Clustering with a fixed number of clusters. Theoretical Computer Science. 429. 36–45. 1 indexed citations
15.
Bonizzoni, Paola, et al.. (2010). Parameterized Complexity of k-Anonymity: Hardness and Tractability. 24 indexed citations
16.
Bonizzoni, Paola, Gianluca Della Vedova, Riccardo Dondi, Yuri Pirola, & Roméo Rizzi. (2010). Pure Parsimony Xor Haplotyping. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(4). 598–610. 2 indexed citations
17.
Bonizzoni, Paola, et al.. (2009). Preface. Natural Computing. 9(2). 381–382.
18.
Bonizzoni, Paola, Gianluca Della Vedova, & Riccardo Dondi. (2005). Reconciling a gene tree to a species tree under the duplication cost model. Theoretical Computer Science. 347(1-2). 36–53. 45 indexed citations
19.
Bonizzoni, Paola, Gianluca Della Vedova, & Giancarlo Mauri. (2000). APPROXIMATING THE MAXIMUM ISOMORPHIC AGREEMENT SUBTREE IS HARD. International Journal of Foundations of Computer Science. 11(4). 579–590. 2 indexed citations
20.
Bonizzoni, Paola, Claudio Ferretti, & Giancarlo Mauri. (1998). Splicing systems with marked rules. BOA (University of Milano-Bicocca). 1. 295–306. 1 indexed citations

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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