Mario Cannataro

6.9k total citations
244 papers, 3.4k citations indexed

About

Mario Cannataro is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mario Cannataro has authored 244 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 45 papers in Artificial Intelligence and 44 papers in Computer Networks and Communications. Recurrent topics in Mario Cannataro's work include Bioinformatics and Genomic Networks (90 papers), Gene expression and cancer classification (47 papers) and Scientific Computing and Data Management (27 papers). Mario Cannataro is often cited by papers focused on Bioinformatics and Genomic Networks (90 papers), Gene expression and cancer classification (47 papers) and Scientific Computing and Data Management (27 papers). Mario Cannataro collaborates with scholars based in Italy, United States and Spain. Mario Cannataro's co-authors include Pietro Hiram Guzzi, Pierangelo Veltri, Domenico Talia, Giuseppe Agapito, Barbara Calabrese, Marianna Milano, Chiara Zucco, Marco Mina, Andrea Pugliese and Pierfrancesco Tassone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Mario Cannataro

220 papers receiving 3.2k citations

Peers

Mario Cannataro

CNC

CTM

Ulf Leser Germany

Michael R. Berthold Germany

Keith C. C. Chan Hong Kong

José Luís Oliveira Portugal

Pietro Hiram Guzzi Italy

Chun‐Nan Hsu Taiwan

Shaoliang Peng China

Pierangelo Veltri Italy

Reda Alhajj Canada

Xiaohui Yu China

Ulf Leser Germany

Mario Cannataro

2.0k ×1.4

2.2k ×2.9

977 ×1.5

CNC

798 ×1.3

266 ×0.8

CTM

Citations per year, relative to Mario Cannataro Mario Cannataro (= 1×) peers Ulf Leser

Countries citing papers authored by Mario Cannataro

Since Specialization

Citations

This map shows the geographic impact of Mario Cannataro'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 Mario Cannataro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Cannataro more than expected).

Fields of papers citing papers by Mario Cannataro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Cannataro. 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 Mario Cannataro. The network helps show where Mario Cannataro may publish in the future.

Co-authorship network of co-authors of Mario Cannataro

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Cannataro. A scholar is included among the top collaborators of Mario Cannataro 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 Mario Cannataro. Mario Cannataro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Milano, Marianna, et al.. (2025). A computational approach to study age-related modifications of the genes involved in Parkinson's disease. Computers in Biology and Medicine. 196(Pt B). 110765–110765.

Salerno, Nadia, Isabella Leo, Mario Cannataro, et al.. (2025). Artificial Intelligence in Cardiac Electrophysiology: A Clinically Oriented Review with Engineering Primers. Bioengineering. 12(10). 1102–1102.

Milano, Marianna, et al.. (2023). Multilayer network alignment based on topological assessment via embeddings. BMC Bioinformatics. 24(1). 416–416. 7 indexed citations

Cannataro, Mario, et al.. (2023). Scoliosis Management through Apps and Software Tools. International Journal of Environmental Research and Public Health. 20(8). 5520–5520. 4 indexed citations

Marangoni, Roberto, et al.. (2023). An overview of bioinformatics courses delivered at the academic level in Italy: Reflections and recommendations from BITS. PLoS Computational Biology. 19(2). e1010846–e1010846. 3 indexed citations

Milano, Marianna, et al.. (2023). A novel local alignment algorithm for Multilayer networks. Informatics in Medicine Unlocked. 44. 101425–101425. 3 indexed citations

Milano, Marianna, Giuseppe Agapito, & Mario Cannataro. (2023). An Exploratory Application of Multilayer Networks and Pathway Analysis in Pharmacogenomics. Genes. 14(10). 1915–1915. 5 indexed citations

Milano, Marianna, et al.. (2023). Aligning Cross-Species Interactomes for Studying Complex and Chronic Diseases. Life. 13(7). 1520–1520. 4 indexed citations

Milano, Marianna, Giuseppe Agapito, & Mario Cannataro. (2022). Challenges and Limitations of Biological Network Analysis. BioTech. 11(3). 24–24. 18 indexed citations

10.

Zucco, Chiara, et al.. (2022). Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration. BioTech. 11(3). 41–41. 18 indexed citations

11.

Agapito, Giuseppe, Marianna Milano, & Mario Cannataro. (2022). A Python Clustering Analysis Protocol of Genes Expression Data Sets. Genes. 13(10). 1839–1839. 4 indexed citations

12.

Milano, Marianna, Giuseppe Agapito, & Mario Cannataro. (2022). Application of CCTV Methodology to Analyze COVID-19 Evolution in Italy. BioTech. 11(3). 33–33. 1 indexed citations

13.

Milano, Marianna, Pietro Hiram Guzzi, & Mario Cannataro. (2022). Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. Entropy. 24(9). 1272–1272. 6 indexed citations

14.

Milano, Marianna, et al.. (2022). An Extensive Assessment of Network Embedding in PPI Network Alignment. Entropy. 24(5). 730–730. 7 indexed citations

15.

Milano, Marianna, Chiara Zucco, & Mario Cannataro. (2021). COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data. Network Modeling Analysis in Health Informatics and Bioinformatics. 10(1). 46–46. 7 indexed citations

16.

Milano, Marianna & Mario Cannataro. (2020). Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution. International Journal of Environmental Research and Public Health. 17(12). 4182–4182. 13 indexed citations

17.

Nassa, Giovanni, Roberta Tarallo, Pietro Hiram Guzzi, et al.. (2010). Comparative analysis of nuclear estrogen receptor alpha and beta interactomes in breast cancer cells. Molecular BioSystems. 7(3). 667–676. 30 indexed citations

18.

Tradigo, Giuseppe, Mario Cannataro, Pietro Hiram Guzzi, & Pierangelo Veltri. (2010). Geomedica: a web portal for managing and querying clinical and biological data (Demo Paper).. SEBD. 350–353. 2 indexed citations

19.

Cannataro, Mario, Antonella Guzzo, Carmela Comito, & Pierangelo Veltri. (2004). Ontology-based Design of Bioinformatics Workflows on PROTEUS. Journal of Digital Information Management. 2(2). 87–92. 2 indexed citations

20.

Srimani, Pradip K., et al.. (2003). Proceedings, International Conference on Information Technology: Computers and Communications, April 28-30, 2003, Las Vegas, Nevada. 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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