Luca Cappelletti

818 total citations
14 papers, 217 citations indexed

About

Luca Cappelletti is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Luca Cappelletti has authored 14 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Luca Cappelletti's work include Bioinformatics and Genomic Networks (4 papers), Advanced Graph Neural Networks (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Luca Cappelletti is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Advanced Graph Neural Networks (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Luca Cappelletti collaborates with scholars based in Italy, United States and Germany. Luca Cappelletti's co-authors include Giorgio Valentini, Tommaso Fontana, Peter N. Robinson, Justin Reese, Elena Casiraghi, Chris Mungall, Marcin P. Joachimiak, Marco Frasca, Vida Ravanmehr and Dario Malchiodi and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Ultrasonics Sonochemistry.

In The Last Decade

Luca Cappelletti

14 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Cappelletti Italy 10 88 85 46 19 17 14 217
Julian Matschinske Germany 7 60 0.7× 109 1.3× 20 0.4× 10 0.5× 6 0.4× 11 247
Balu Bhasuran India 9 135 1.5× 125 1.5× 11 0.2× 7 0.4× 3 0.2× 26 255
Mengqi Luo China 7 51 0.6× 47 0.6× 17 0.4× 9 0.5× 7 0.4× 20 194
Blessing Ogbuokiri South Africa 10 30 0.3× 108 1.3× 38 0.8× 28 1.5× 34 2.0× 19 287
Maulik R. Kamdar United States 10 122 1.4× 150 1.8× 56 1.2× 8 0.4× 3 0.2× 24 300
Chaoyi Wu China 9 83 0.9× 200 2.4× 108 2.3× 42 2.2× 3 0.2× 21 426
Zeeshan Shaukat China 8 36 0.4× 81 1.0× 18 0.4× 13 0.7× 7 0.4× 16 267
Tommaso Fontana Italy 5 64 0.7× 72 0.8× 43 0.9× 4 0.2× 3 0.2× 9 147
Nicolas Fiorini United States 9 153 1.7× 160 1.9× 11 0.2× 10 0.5× 8 0.5× 11 299

Countries citing papers authored by Luca Cappelletti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Cappelletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Cappelletti

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

All Works

14 of 14 papers shown
1.
Gaudry, Arnaud, Marco Pagni, Florence Mehl, et al.. (2024). A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery. ACS Central Science. 10(3). 494–510. 11 indexed citations
2.
Cappelletti, Luca, Tommaso Fontana, Elena Casiraghi, et al.. (2024). Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning. Bioinformatics Advances. 4(1). vbae036–vbae036. 4 indexed citations
3.
Cappelletti, Luca, Tommaso Fontana, Elena Casiraghi, et al.. (2023). GRAPE for fast and scalable graph processing and random-walk-based embedding. Nature Computational Science. 3(6). 552–568. 14 indexed citations
4.
Cappelletti, Luca, Alessandro Petrini, Jessica Gliozzo, et al.. (2022). Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinformatics. 23(S2). 154–154. 3 indexed citations
5.
Ravanmehr, Vida, Hannah Blau, Luca Cappelletti, et al.. (2021). Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer. NAR Genomics and Bioinformatics. 3(4). lqab113–lqab113. 4 indexed citations
6.
Petrini, Alessandro, Marco Mesiti, Max Schubach, et al.. (2020). parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants. GigaScience. 9(5). 9 indexed citations
7.
Casiraghi, Elena, Dario Malchiodi, Gabriella Trucco, et al.. (2020). Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access. 8. 196299–196325. 56 indexed citations
8.
Reese, Justin, Deepak Unni, Tiffany J. Callahan, et al.. (2020). KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns. 2(1). 100155–100155. 54 indexed citations
9.
Cappelletti, Luca, et al.. (2020). Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling. Computers. 9(2). 37–37. 11 indexed citations
10.
Reese, Justin, Deepak Unni, Tiffany J. Callahan, et al.. (2020). KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. SSRN Electronic Journal. 2 indexed citations
11.
Cappelletti, Luca, Stefano Valtolina, Giorgio Valentini, Marco Mesiti, & Elisa Bertino. (2019). On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. 4000–4007. 15 indexed citations
12.
Cappelletti, Luca, Luca Vaghi, Laura Rinaldi, et al.. (2015). One-pot sonochemical synthesis of ferrocenyl derivatives via a three-component reaction in aqueous media. Ultrasonics Sonochemistry. 27. 30–36. 10 indexed citations
13.
Cappelletti, Luca, Pierfausto Seneci, Thanyada Rungrotmongkol, et al.. (2012). Synthesis and in vitro study of novel neuraminidase inhibitors against avian influenza virus. Bioorganic & Medicinal Chemistry. 20(6). 2152–2157. 15 indexed citations
14.
Cappelletti, Luca, Massimo Ferri, & Giorgio Nicoletti. (1998). <title>Vibrotactile color rendering for the visually impaired within the VIDET project</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9 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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