Daniela Spina

39 papers and 466 indexed citations i.

About

Daniela Spina is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Daniela Spina has authored 39 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Food Science and 9 papers in Molecular Biology. Recurrent topics in Daniela Spina’s work include Organic Food and Agriculture (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Bacterial biofilms and quorum sensing (6 papers). Daniela Spina is often cited by papers focused on Organic Food and Agriculture (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Bacterial biofilms and quorum sensing (6 papers). Daniela Spina collaborates with scholars based in Italy, Hungary and Romania. Daniela Spina's co-authors include Viviana Cafiso, Stefania Stefani, Taschia Bertuccio, Mario D’Amico, Giuseppe Di Vita, Simona Purrello, Maria Santagati, Floriana Campanile, Manal Hamam and Giuseppe Nicoletti and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of Daniela Spina i

Fields of papers citing papers by Daniela Spina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Spina

Since Specialization
Citations

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