Valeria Di Dato

21 papers and 582 indexed citations i.

About

Valeria Di Dato is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Biomaterials. According to data from OpenAlex, Valeria Di Dato has authored 21 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Biomaterials. Recurrent topics in Valeria Di Dato’s work include Algal biology and biofuel production (6 papers), Diatoms and Algae Research (6 papers) and Microbial Community Ecology and Physiology (3 papers). Valeria Di Dato is often cited by papers focused on Algal biology and biofuel production (6 papers), Diatoms and Algae Research (6 papers) and Microbial Community Ecology and Physiology (3 papers). Valeria Di Dato collaborates with scholars based in Italy, France and United States. Valeria Di Dato's co-authors include Giovanna Romano, Adrianna Ianora, Massimo Zollo, Daniela De Martino, Natascia Marino, Daniela Spano, Luigi Navas, Roberto Di Lauro, Pasqualino de Antonellis and Lucia Liguori and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Valeria Di Dato i

Fields of papers citing papers by Valeria Di Dato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valeria Di Dato. 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 Valeria Di Dato. The network helps show where Valeria Di Dato may publish in the future.

Countries citing papers authored by Valeria Di Dato

Since Specialization
Citations

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