Simone Leo
Impact in
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- Scientific Computing and Data Management
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
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- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 4
- Biomedical Text Mining and Ontologies 3
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- Scientific Computing and Data Management 11
- Co-authors
- Gianluigi Zanetti (12 shared papers)Luca Pireddu (11 shared papers)Gus Ferguson (1 shared paper)Aleksandra Tarkowska (1 shared paper)Uğis Sarkans (1 shared paper)Josh Moore (1 shared paper)Jason R. Swedlow (1 shared paper)Eleanor Williams (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nature Methods (1 paper)PLoS ONE (1 paper)International Journal of Medical Informatics (1 paper)Genome Medicine (1 paper)
- Partner nations
- ItalyUnited KingdomBelgium
In The Last Decade
Simone Leo
22 papers receiving 507 citations
Peers
Comparison fields: 5 of 84
- Information Systems and Management 164
- Biophysics 122
- Structural Biology 11
- Information Systems 138
- Health Informatics 7
Countries citing papers authored by Simone Leo
This map shows the geographic impact of Simone Leo'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 Simone Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Leo more than expected).
Fields of papers citing papers by Simone Leo
This network shows the impact of papers produced by Simone Leo. 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 Simone Leo. The network helps show where Simone Leo may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Leo, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 165 | |
| 2 | 2011 | 93 | |
| 3 | 2022 | 76 | |
| 4 | 2009 | 36 | |
| 5 | 2010 | 27 | |
| 6 | 2014 | 22 | |
| 7 | 2010 | 18 | |
| 8 | 2018 | 14 | |
| 9 | 2011 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2010 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2014 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2012 | 3 | |
| 20 | 2022 | 2 |
About Simone Leo
Simone Leo is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 23 papers that have together received 533 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (11 papers), Research Data Management Practices (7 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (5 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (4 papers), Cloud Computing and Resource Management (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Information Systems and Management (164 citations), Biophysics (122 citations), Structural Biology (11 citations), Information Systems (138 citations) and Health Informatics (7 citations). Simone Leo has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Gianluigi Zanetti, Luca Pireddu, Gus Ferguson, Aleksandra Tarkowska, Uğis Sarkans, Josh Moore, Jason R. Swedlow, Eleanor Williams, Bálint Antal and Gabriella Rustici. Their work appears in journals such as Bioinformatics, Nature Methods, PLoS ONE, International Journal of Medical Informatics and Genome Medicine.
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.