Davide Bassani

28 papers and 429 indexed citations i.

About

Davide Bassani is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Davide Bassani has authored 28 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 7 papers in Infectious Diseases. Recurrent topics in Davide Bassani’s work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Protein Structure and Dynamics (6 papers). Davide Bassani is often cited by papers focused on Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Protein Structure and Dynamics (6 papers). Davide Bassani collaborates with scholars based in Italy, Switzerland and United States. Davide Bassani's co-authors include Stefano Moro, Matteo Pavan, Mattia Sturlese, Daniela Carbone, Camilla Pecoraro, Girolamo Cirrincione, Stella Cascioferro, Valentina Gandin, Stefano Dall’Acqua and Michele De Franco and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Science Translational Medicine.

In The Last Decade

Co-authorship network of co-authors of Davide Bassani i

Fields of papers citing papers by Davide Bassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Davide Bassani

Since Specialization
Citations

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