Giuseppe Agapito
- Molecular Biology
- Information Systems top 5%
- Artificial Intelligence top 10%
- Oncology
- Computational Theory and Mathematics top 5%
- Co-authors
- Mario CannataroPietro Hiram GuzziMariamena ArbitrioMarianna MilanoBarbara CalabreseMaria Teresa Di MartinoDavide ChiccoPierfrancesco Tassone
- Topics
- Bioinformatics and Genomic Networks (39 papers)Gene expression and cancer classification (32 papers)Data Mining Algorithms and Applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsBMC Bioinformatics
- Partner nations
- ItalyCanadaUnited Kingdom
In The Last Decade
Giuseppe Agapito
67 papers receiving 884 citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 442
- Information Systems 154
- Artificial Intelligence 144
- Oncology 104
- Computational Theory and Mathematics 93
Countries citing papers authored by Giuseppe Agapito
This map shows the geographic impact of Giuseppe Agapito'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 Giuseppe Agapito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Agapito more than expected).
Fields of papers citing papers by Giuseppe Agapito
This network shows the impact of papers produced by Giuseppe Agapito. 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 Giuseppe Agapito. The network helps show where Giuseppe Agapito may publish in the future.
Co-authorship network of co-authors of Giuseppe Agapito
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Agapito. A scholar is included among the top collaborators of Giuseppe Agapito 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 Giuseppe Agapito. Giuseppe Agapito 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 | 1 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 45 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. | 8 |
| 16 | 74 | |
| 17 | 8 | |
| 18 | 36 | |
| 19 | 40 | |
| 20 | 52 |
About Giuseppe Agapito
Giuseppe Agapito is a scholar working on Molecular Biology, Computational Theory and Mathematics and Information Systems, having authored 72 papers that have together received 906 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (39 papers), Gene expression and cancer classification (32 papers) and Data Mining Algorithms and Applications (10 papers). The work is most often cited by research in Information Systems (154 citations), Molecular Biology (442 citations) and Pharmacology (53 citations). Giuseppe Agapito has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include Mario Cannataro, Pietro Hiram Guzzi, Mariamena Arbitrio, Marianna Milano, Barbara Calabrese, Maria Teresa Di Martino, Davide Chicco, Pierfrancesco Tassone, Chiara Zucco and Francesca Scionti. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and BMC 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.