Daniela De Biase

75 papers and 2.7k indexed citations i.

About

Daniela De Biase is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Daniela De Biase has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 25 papers in Biochemistry and 18 papers in Plant Science. Recurrent topics in Daniela De Biase’s work include Amino Acid Enzymes and Metabolism (23 papers), Gamma-Aminobutyric Acid Metabolism in Plants (16 papers) and Probiotics and Fermented Foods (13 papers). Daniela De Biase is often cited by papers focused on Amino Acid Enzymes and Metabolism (23 papers), Gamma-Aminobutyric Acid Metabolism in Plants (16 papers) and Probiotics and Fermented Foods (13 papers). Daniela De Biase collaborates with scholars based in Italy, United Kingdom and France. Daniela De Biase's co-authors include Angela Tramonti, Francesco Bossa, Peter A. Lund, Eugenia Pennacchietti, Paolo Visca, Michele De Canio, Robert A. John, Donatella Barra, Maurizio Falconi and Guido Capitani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of Daniela De Biase i

Fields of papers citing papers by Daniela De Biase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela De Biase

Since Specialization
Citations

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