Pietro Pinoli
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Biomedical Text Mining and Ontologies
- vaccines and immunoinformatics approaches
Papers in
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- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 15
- Genomics and Phylogenetic Studies 10
- Biomedical Text Mining and Ontologies 7
- vaccines and immunoinformatics approaches 6
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- Algorithms and Data Compression 7
- Co-authors
- Marco Masseroli (21 shared papers)Stefano Ceri (42 shared papers)Davide Chicco (4 shared papers)Arif Canakoglu (15 shared papers)Anna Bernasconi (15 shared papers)Luca Nanni (7 shared papers)Heiko Müller (1 shared paper)Giacomo Domeniconi (2 shared papers)
- Journals
- PLoS ONE (3 papers)BMC Bioinformatics (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Nucleic Acids Research (2 papers)Database (2 papers)
- Partner nations
- ItalyUnited StatesSingapore
In The Last Decade
Pietro Pinoli
55 papers receiving 562 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 299
- Information Systems and Management 27
- Computational Theory and Mathematics 61
- Infectious Diseases 64
- Artificial Intelligence 114
Countries citing papers authored by Pietro Pinoli
This map shows the geographic impact of Pietro Pinoli'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 Pietro Pinoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Pinoli more than expected).
Fields of papers citing papers by Pietro Pinoli
This network shows the impact of papers produced by Pietro Pinoli. 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 Pietro Pinoli. The network helps show where Pietro Pinoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Pietro Pinoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 58 | |
| 2 | 2018 | 36 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2012 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2020 | 22 | |
| 8 | 2014 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2015 | 18 | |
| 11 | 2013 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2019 | 10 | |
| 20 | 2015 | 10 |
About Pietro Pinoli
Pietro Pinoli is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Cancer Research and Infectious Diseases, having authored 62 papers that have together received 571 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (15 papers), Genomics and Phylogenetic Studies (10 papers), Algorithms and Data Compression (7 papers), Biomedical Text Mining and Ontologies (7 papers), vaccines and immunoinformatics approaches (6 papers), Computational Drug Discovery Methods (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Molecular Biology (299 citations), Information Systems and Management (27 citations), Computational Theory and Mathematics (61 citations), Infectious Diseases (64 citations) and Artificial Intelligence (114 citations). Pietro Pinoli has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Marco Masseroli, Stefano Ceri, Davide Chicco, Arif Canakoglu, Anna Bernasconi, Luca Nanni, Heiko Müller, Giacomo Domeniconi, Vahid Jalili and Fernando Palluzzi. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Nucleic Acids Research and Database.
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.