Marina Vannucci

156 papers and 4.4k indexed citations i.

About

Marina Vannucci is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Marina Vannucci has authored 156 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 45 papers in Artificial Intelligence and 34 papers in Statistics and Probability. Recurrent topics in Marina Vannucci’s work include Bayesian Methods and Mixture Models (33 papers), Gene expression and cancer classification (27 papers) and Statistical Methods and Inference (24 papers). Marina Vannucci is often cited by papers focused on Bayesian Methods and Mixture Models (33 papers), Gene expression and cancer classification (27 papers) and Statistical Methods and Inference (24 papers). Marina Vannucci collaborates with scholars based in United States, United Kingdom and Italy. Marina Vannucci's co-authors include Philip J. Brown, Mahlet G. Tadesse, Tom Fearn, Naijun Sha, Francesco C. Stingo, Michele Guindani, Christine B. Peterson, Píetro Lió, Qianxing Mo and Ruth King and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Marina Vannucci i

Fields of papers citing papers by Marina Vannucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marina Vannucci

Since Specialization
Citations

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

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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2025