CSI Piemonte

330 papers and 7.3k indexed citations i.

About

In recent decades, authors affiliated with CSI Piemonte have published 330 papers, which have received a total of 7.3k indexed citations. Scholars at this organization have produced 42 papers in Plant Science, 32 papers in Molecular Biology and 24 papers in Epidemiology on the topics of Horticultural and Viticultural Research (14 papers), Landslides and related hazards (10 papers) and Diabetes Treatment and Management (9 papers). Their work is cited by papers focused on Epidemiology (761 citations), Plant Science (693 citations) and Oncology (662 citations). Authors at CSI Piemonte collaborate with scholars in Italy, United States and France and have published in prestigious journals including Nature, PLoS ONE and Hepatology. Some of CSI Piemonte's most productive authors include Franco Ajmone-Marsan, Mattia Biasioli, G. Genon, Dario Farina, Roberto Merletti, Alberto Rainoldi, Roberto Zanetti, Stefano Rosso, Carlo Giorda and Giovanni Bosio.

In The Last Decade

Fields of papers published by authors at CSI Piemonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with CSI Piemonte at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with CSI Piemonte at the time of their publication.

Countries citing scholars working at CSI Piemonte

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at CSI Piemonte. 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 papers produced at CSI Piemonte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CSI Piemonte 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