Lucia Sacchi

122 papers and 2.1k indexed citations i.

About

Lucia Sacchi is a scholar working on Molecular Biology, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lucia Sacchi has authored 122 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 26 papers in Artificial Intelligence and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lucia Sacchi’s work include Data Mining Algorithms and Applications (17 papers), Biomedical Text Mining and Ontologies (15 papers) and Diabetes Management and Research (13 papers). Lucia Sacchi is often cited by papers focused on Data Mining Algorithms and Applications (17 papers), Biomedical Text Mining and Ontologies (15 papers) and Diabetes Management and Research (13 papers). Lucia Sacchi collaborates with scholars based in Italy, United States and United Kingdom. Lucia Sacchi's co-authors include Riccardo Bellazzi, Arianna Dagliati, Silvana Quaglini, Simone Marini, Valentina Tibollo, Luca Chiovato, Cristiana Larizza, Pasquale De Cata, Enea Parimbelli and Mara De Amici and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Journal of Bacteriology.

In The Last Decade

Co-authorship network of co-authors of Lucia Sacchi i

Fields of papers citing papers by Lucia Sacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lucia Sacchi

Since Specialization
Citations

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