Gabriele Pozzani

3 papers and 175 indexed citations i.

About

Gabriele Pozzani is a scholar working on Molecular Biology, Toxicology and Artificial Intelligence. According to data from OpenAlex, Gabriele Pozzani has authored 3 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Toxicology and 1 paper in Artificial Intelligence. Recurrent topics in Gabriele Pozzani’s work include Biomedical Text Mining and Ontologies (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers) and Computational Drug Discovery Methods (1 paper). Gabriele Pozzani is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers) and Computational Drug Discovery Methods (1 paper). Gabriele Pozzani collaborates with scholars based in Italy. Gabriele Pozzani's co-authors include Carlo Combi, Giuseppe Pozzi, Margherita Zorzi, Ugo Moretti and Elena Arzenton and has published in prestigious journals such as Journal of Biomedical Informatics, IEEE Journal of Biomedical and Health Informatics and Applied Clinical Informatics.

In The Last Decade

Co-authorship network of co-authors of Gabriele Pozzani i

Fields of papers citing papers by Gabriele Pozzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriele Pozzani

Since Specialization
Citations

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