María Di Bari

33 papers and 703 indexed citations i.

About

María Di Bari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, María Di Bari has authored 33 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in María Di Bari’s work include Receptor Mechanisms and Signaling (8 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Quantum chaos and dynamical systems (5 papers). María Di Bari is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Quantum chaos and dynamical systems (5 papers). María Di Bari collaborates with scholars based in Italy, Spain and Argentina. María Di Bari's co-authors include Ada Maria Tata, A. Deriu, Alessandra Camarca, Francesco Maurano, Maria De Angelis, Marco Gobbetti, Carmen Gianfrani, Massimo De Vincenzi, Francesco Palmisano and Carlo Giuseppe Rizzello and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Co-authorship network of co-authors of María Di Bari i

Fields of papers citing papers by María Di Bari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Di Bari

Since Specialization
Citations

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