Roberto Visintainer
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Gut microbiota and health
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 8
- Gene Regulatory Network Analysis 3
- Cancer therapeutics and mechanisms 2
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Giuseppe Jurman (7 shared papers)Cesare Furlanello (6 shared papers)Samantha Riccadonna (6 shared papers)Michele Filosi (5 shared papers)Davide Albanese (2 shared papers)Luca Marchetti (3 shared papers)Piero Poletti (1 shared paper)Stefano Merler (1 shared paper)
- Journals
- PLoS ONE (4 papers)Frontiers in Pharmacology (2 papers)Cancers (1 paper)BMC Bioinformatics (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Roberto Visintainer
12 papers receiving 226 citations
Peers
Comparison fields: 5 of 111
- Statistics and Probability 11
- Molecular Biology 86
- Artificial Intelligence 35
- Modeling and Simulation 5
- General Energy 1
Countries citing papers authored by Roberto Visintainer
This map shows the geographic impact of Roberto Visintainer'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 Roberto Visintainer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Visintainer more than expected).
Fields of papers citing papers by Roberto Visintainer
This network shows the impact of papers produced by Roberto Visintainer. 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 Roberto Visintainer. The network helps show where Roberto Visintainer may publish in the future.
Co-authors
The 19 scholars most cited alongside Roberto Visintainer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 162 | |
| 2 | 2014 | 16 | |
| 3 | 2012 | 14 | |
| 4 | 2016 | 7 | |
| 5 | 2017 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2021 | 4 | |
| 8 | 2016 | 4 | |
| 9 | 2011 | 4 | |
| 10 | cmine, minerva & minepy: a C engine for the MINE suite and its R and Python wrappers | 2012 | 2 |
| 11 | 2025 | 1 | |
| 12 | 2018 | 1 |
About Roberto Visintainer
Roberto Visintainer is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 12 papers that have together received 229 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers), Gene Regulatory Network Analysis (3 papers), Cancer therapeutics and mechanisms (2 papers), RNA Research and Splicing (2 papers), Complex Network Analysis Techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Statistics and Probability (11 citations), Molecular Biology (86 citations), Artificial Intelligence (35 citations), Modeling and Simulation (5 citations) and General Energy (1 citation). Roberto Visintainer has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Jurman, Cesare Furlanello, Samantha Riccadonna, Michele Filosi, Davide Albanese, Luca Marchetti, Piero Poletti, Stefano Merler, Bruno Lepri and Chanchala Kaddi. Their work appears in journals such as PLoS ONE, Frontiers in Pharmacology, Cancers, BMC Bioinformatics and BMC Infectious Diseases.
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.