Arianna Bassan

29 papers and 400 indexed citations i.

About

Arianna Bassan is a scholar working on Computational Theory and Mathematics, Food Science and Cancer Research. According to data from OpenAlex, Arianna Bassan has authored 29 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 10 papers in Food Science and 8 papers in Cancer Research. Recurrent topics in Arianna Bassan’s work include Computational Drug Discovery Methods (13 papers), Pesticide Residue Analysis and Safety (9 papers) and Agricultural safety and regulations (7 papers). Arianna Bassan is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Pesticide Residue Analysis and Safety (9 papers) and Agricultural safety and regulations (7 papers). Arianna Bassan collaborates with scholars based in Italy, United States and United Kingdom. Arianna Bassan's co-authors include Manuela Pavan, Andrew Worth, Elena Fioravanzo, Ivanka Tsakovska, Tatiana I. Netzeva, Grace Patlewicz, Jack de Bruijn, Steven J. Eisenreich, Ana Gallegos and Romualdo Benigni and has published in prestigious journals such as Chemosphere, Atmospheric chemistry and physics and Food and Chemical Toxicology.

In The Last Decade

Co-authorship network of co-authors of Arianna Bassan i

Fields of papers citing papers by Arianna Bassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arianna Bassan

Since Specialization
Citations

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