Letizia Barbieri

52 total papers · 1.6k total citations
37 papers, 1.3k citations indexed

About

Letizia Barbieri is a scholar working on Molecular Biology, Spectroscopy and Neurology. According to data from OpenAlex, Letizia Barbieri has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Neurology. Recurrent topics in Letizia Barbieri's work include Protein Structure and Dynamics (6 papers), Ion channel regulation and function (6 papers) and Enzyme function and inhibition (6 papers). Letizia Barbieri is often cited by papers focused on Protein Structure and Dynamics (6 papers), Ion channel regulation and function (6 papers) and Enzyme function and inhibition (6 papers). Letizia Barbieri collaborates with scholars based in Italy, United Kingdom and Austria. Letizia Barbieri's co-authors include Enrico Luchinat, Lucia Banci, Ivano Bertini, Francesca Cantini, A.R. Aricescu, Yuguang Zhao, Tatiana Kozyreva, Jeffrey T. Rubino, Alessio Nocentini and Claudiu T. Supuran and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Letizia Barbieri

36 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Letizia Barbieri 732 249 210 148 135 37 1.3k
Enrico Luchinat 1.1k 1.5× 357 1.4× 320 1.5× 177 1.2× 163 1.2× 53 1.7k
Abhinav Nath 1.3k 1.7× 177 0.7× 182 0.9× 72 0.5× 61 0.5× 51 1.8k
Duane R. Smith 321 0.4× 146 0.6× 173 0.8× 75 0.5× 299 2.2× 30 1.5k
Giuseppe Digilio 512 0.7× 117 0.5× 589 2.8× 89 0.6× 435 3.2× 65 1.5k
Joan Boren 694 0.9× 146 0.6× 108 0.5× 41 0.3× 111 0.8× 19 1.3k
Shauna Farr-Jones 1.2k 1.7× 108 0.4× 175 0.8× 89 0.6× 118 0.9× 30 1.6k
Bireswar Chakrabarti 932 1.3× 228 0.9× 121 0.6× 41 0.3× 157 1.2× 53 1.6k
T. J. Stone 448 0.6× 115 0.5× 148 0.7× 97 0.7× 37 0.3× 35 1.2k
Thomas R. Tritton 1.1k 1.4× 100 0.4× 89 0.4× 55 0.4× 83 0.6× 53 1.8k
Maria Silvia Viezzoli 833 1.1× 139 0.6× 217 1.0× 370 2.5× 33 0.2× 57 1.7k

Countries citing papers authored by Letizia Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Letizia Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letizia Barbieri

This figure shows the co-authorship network connecting the top 25 collaborators of Letizia Barbieri. A scholar is included among the top collaborators of Letizia Barbieri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Letizia Barbieri. Letizia Barbieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026