Danila De Vito

81 papers and 1.7k indexed citations i.

About

Danila De Vito is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Danila De Vito has authored 81 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 14 papers in Epidemiology and 13 papers in Molecular Biology. Recurrent topics in Danila De Vito’s work include Reproductive tract infections research (8 papers), Oral microbiology and periodontitis research (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Danila De Vito is often cited by papers focused on Reproductive tract infections research (8 papers), Oral microbiology and periodontitis research (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Danila De Vito collaborates with scholars based in Italy, United Kingdom and United States. Danila De Vito's co-authors include Andrea Ballini, Marco Tatullo, Gianrico Spagnuolo, Stefania Cantore, Sandro Rengo, Gianna Dipalma, Francesco Inchingolo, Ettore Cicinelli, Luigì Santacroce and Leonardo Resta and has published in prestigious journals such as Neurology, Scientific Reports and British Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Danila De Vito i

Fields of papers citing papers by Danila De Vito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danila De Vito

Since Specialization
Citations

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