Corrado Priami

4.7k total citations
182 papers, 2.4k citations indexed

About

Corrado Priami is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Corrado Priami has authored 182 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 45 papers in Computational Theory and Mathematics and 31 papers in Artificial Intelligence. Recurrent topics in Corrado Priami's work include Gene Regulatory Network Analysis (74 papers), Bioinformatics and Genomic Networks (45 papers) and Microbial Metabolic Engineering and Bioproduction (32 papers). Corrado Priami is often cited by papers focused on Gene Regulatory Network Analysis (74 papers), Bioinformatics and Genomic Networks (45 papers) and Microbial Metabolic Engineering and Bioproduction (32 papers). Corrado Priami collaborates with scholars based in Italy, United States and United Kingdom. Corrado Priami's co-authors include Pierpaolo Degano, Luca Marchetti, Melissa J. Morine, Ehud Shapiro, William B. Silverman, Aviv Regev, Paola Lecca, Marie‐Pier Scott‐Boyer, Roberto Zunino and Ferenc Jordán and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Corrado Priami

174 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Corrado Priami Italy 23 1.5k 480 328 236 166 182 2.4k
Rui‐Sheng Wang United States 36 2.9k 1.9× 712 1.5× 416 1.3× 362 1.5× 148 0.9× 141 5.2k
Pietro Hiram Guzzi Italy 29 1.7k 1.2× 332 0.7× 400 1.2× 165 0.7× 125 0.8× 221 3.2k
David Gilbert United Kingdom 27 2.0k 1.4× 369 0.8× 445 1.4× 104 0.4× 78 0.5× 98 2.9k
Jun Sese Japan 27 1.9k 1.3× 519 1.1× 518 1.6× 334 1.4× 59 0.4× 82 3.6k
Javier Garcı́a-Garcı́a Spain 18 1.7k 1.1× 449 0.9× 83 0.3× 256 1.1× 83 0.5× 46 2.6k
Kevin Y. Yip Hong Kong 33 2.2k 1.5× 210 0.4× 521 1.6× 433 1.8× 124 0.7× 106 3.4k
Michael Hucka United States 25 2.6k 1.8× 259 0.5× 150 0.5× 148 0.6× 78 0.5× 57 3.2k
Rosalba Giugno Italy 31 1.5k 1.0× 305 0.6× 508 1.5× 111 0.5× 230 1.4× 108 2.8k
Mehmet Koyutürk United States 30 1.7k 1.1× 412 0.9× 307 0.9× 245 1.0× 125 0.8× 122 2.7k
Honghuang Lin United States 35 2.0k 1.3× 400 0.8× 130 0.4× 217 0.9× 45 0.3× 195 4.1k

Countries citing papers authored by Corrado Priami

Since Specialization
Citations

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

Fields of papers citing papers by Corrado Priami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corrado Priami

This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Priami. A scholar is included among the top collaborators of Corrado Priami 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 Corrado Priami. Corrado Priami 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.
Mastorci, Francesca, Lamia Ait-Alì, P. Marcheschi, et al.. (2025). Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial. JMIR Research Protocols. 14. e47951–e47951. 2 indexed citations
2.
Podda, Marco, Simone Bonechi, Andrea Palladino, et al.. (2024). Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning. iScience. 27(3). 109257–109257. 3 indexed citations
3.
Priami, Corrado, et al.. (2020). High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications. IEEE Access. 8. 150999–151011. 5 indexed citations
4.
Nassiri, Isar, et al.. (2019). Regulatory Crosstalk of Doxorubicin, Estradiol and TNFα Combined Treatment in Breast Cancer-derived Cell Lines. Scientific Reports. 9(1). 2 indexed citations
5.
Marchetti, Luca, et al.. (2017). Exploring the Limitations of Peripheral Blood Transcriptional Biomarkers in Predicting Influenza Vaccine Responsiveness. Complexity. 2017. 1–9. 2 indexed citations
6.
Nguyen, Thanh-Phuong, Laura Caberlotto, Melissa J. Morine, & Corrado Priami. (2014). Network Analysis of Neurodegenerative Disease Highlights a Role of Toll-Like Receptor Signaling. BioMed Research International. 2014. 1–16. 18 indexed citations
7.
Lecca, Paola, et al.. (2011). Modelling the tumor shrinkage pharmacodynamics with BlenX. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
8.
Plotkin, Gordon & Corrado Priami. (2007). Transactions on Computational Systems Biology VI (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations
9.
Mardare, Radu, et al.. (2007). BetaWB - A language for modular representation of biological systems. International Conference on Systems. 2 indexed citations
10.
Mardare, Radu & Corrado Priami. (2005). Logical analisys of biological systems. Fundamenta Informaticae. 64. 271–285. 4 indexed citations
11.
Prandi, Davide, Corrado Priami, & Paola Quaglia. (2005). Process Calculi in a Biological Context.. Institutional Research Information System (Università degli Studi di Trento). 85. 53–69. 7 indexed citations
12.
Uhrmacher, Adelinde M. & Corrado Priami. (2005). Discrete event systems specification in systems biology - a discussion of stochastic pi calculus and DEVS. Winter Simulation Conference. 317–326. 12 indexed citations
13.
Bodei, Chiara, Pierpaolo Degano, Corrado Priami, & Nicola Zannone. (2003). An enhanced CFA for security policies. Institutional Research Information System (Università degli Studi di Trento). 131–145. 3 indexed citations
14.
Priami, Corrado. (2003). Simulation and verification I: design environments for complex systems. Winter Simulation Conference. 897–905. 1 indexed citations
15.
Priami, Corrado, et al.. (2001). Performance evaluation of mobile processes via abstract machines. IEEE Transactions on Software Engineering. 27(10). 867–889. 17 indexed citations
16.
Priami, Corrado. (1996). Stochastic pi-calculus with general distributions. Chemosphere. 63(4). 41–57. 3 indexed citations
17.
Priami, Corrado. (1996). DEMOS at CONCUR96. 1 indexed citations
18.
Priami, Corrado. (1996). Interleaving based partial ordering semantics. CINECA IRIS Institutial research information system (University of Pisa). 212–226. 2 indexed citations
19.
Mycroft, Alan, Pierpaolo Degano, & Corrado Priami. (1995). Complexity as a basis for comparing semantic modelsof concurrency. Lecture notes in computer science. 1023. 141–155. 2 indexed citations
20.
Inverardi, Paola & Corrado Priami. (1991). Evaluation of Tools for the Analysis of Communicating Systems.. Bulletin of the European Association for Theoretical Computer Science. 45. 158–185. 12 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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