Daniela Di Bella

76 papers and 3.2k indexed citations i.

About

Daniela Di Bella is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Daniela Di Bella has authored 76 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cellular and Molecular Neuroscience, 26 papers in Molecular Biology and 16 papers in Clinical Psychology. Recurrent topics in Daniela Di Bella’s work include Genetic Neurodegenerative Diseases (18 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Mitochondrial Function and Pathology (15 papers). Daniela Di Bella is often cited by papers focused on Genetic Neurodegenerative Diseases (18 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Mitochondrial Function and Pathology (15 papers). Daniela Di Bella collaborates with scholars based in Italy, Germany and United Kingdom. Daniela Di Bella's co-authors include Marco Catalano, Enrico Smeraldi, Laura Bellodi, Francesco Benedetti, Klaus‐Peter Lesch, J. Pérez, Raffaella Zanardi, Maria Cristina Cavallini, Franco Taroni and Alessandro Serretti and has published in prestigious journals such as American Journal of Psychiatry, Brain and Neurology.

In The Last Decade

Co-authorship network of co-authors of Daniela Di Bella i

Fields of papers citing papers by Daniela Di Bella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Di Bella

Since Specialization
Citations

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