Assunta Maria Di Biase

9 papers and 375 indexed citations i.

About

Assunta Maria Di Biase is a scholar working on Genetics, Infectious Diseases and Nutrition and Dietetics. According to data from OpenAlex, Assunta Maria Di Biase has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Infectious Diseases and 4 papers in Nutrition and Dietetics. Recurrent topics in Assunta Maria Di Biase’s work include Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (5 papers) and Infant Nutrition and Health (4 papers). Assunta Maria Di Biase is often cited by papers focused on Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (5 papers) and Infant Nutrition and Health (4 papers). Assunta Maria Di Biase collaborates with scholars based in Italy. Assunta Maria Di Biase's co-authors include Fabiana Superti, L Seganti, Agostina Pietrantoni, Antonella Tinari, Piera Valenti, М. Marchetti, Giovanni Antonini, Maria Pia Conte, Rosa Anna Siciliano and G. Petrone and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Infection and Immunity and Journal of Medical Virology.

In The Last Decade

Co-authorship network of co-authors of Assunta Maria Di Biase i

Fields of papers citing papers by Assunta Maria Di Biase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Assunta Maria Di 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 Assunta Maria Di Biase. The network helps show where Assunta Maria Di Biase may publish in the future.

Countries citing papers authored by Assunta Maria Di Biase

Since Specialization
Citations

This map shows the geographic impact of Assunta Maria Di 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 Assunta Maria Di Biase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Assunta Maria Di 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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2025