Daniela Uberti

103 papers and 3.1k indexed citations i.

About

Daniela Uberti is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Daniela Uberti has authored 103 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 38 papers in Physiology and 28 papers in Oncology. Recurrent topics in Daniela Uberti’s work include Alzheimer's disease research and treatments (35 papers), Cancer-related Molecular Pathways (27 papers) and Neuroscience and Neuropharmacology Research (8 papers). Daniela Uberti is often cited by papers focused on Alzheimer's disease research and treatments (35 papers), Cancer-related Molecular Pathways (27 papers) and Neuroscience and Neuropharmacology Research (8 papers). Daniela Uberti collaborates with scholars based in Italy, United States and Iran. Daniela Uberti's co-authors include Maurizio Memo, Giulia Abate, Cristina Lanni, Marco Racchi, Stefano Govoni, Giulia Ferrari‐Toninelli, Sara Anna Bonini, Mariagrazia Grilli, Agata Copani and Wiramon Rungratanawanich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Daniela Uberti i

Fields of papers citing papers by Daniela Uberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Uberti

Since Specialization
Citations

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