Letizia Pruccoli

43 total papers · 1.0k total citations
31 papers, 684 citations indexed

About

Letizia Pruccoli is a scholar working on Pharmacology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Letizia Pruccoli has authored 31 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 12 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Letizia Pruccoli's work include Cholinesterase and Neurodegenerative Diseases (13 papers), Computational Drug Discovery Methods (7 papers) and Alzheimer's disease research and treatments (6 papers). Letizia Pruccoli is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (13 papers), Computational Drug Discovery Methods (7 papers) and Alzheimer's disease research and treatments (6 papers). Letizia Pruccoli collaborates with scholars based in Italy, Brazil and Spain. Letizia Pruccoli's co-authors include Andrea Tarozzi, Fabiana Morroni, Giulia Sita, Patrizia Hrelia, Cláudio Viegas, Francesca Seghetti, Matheus de Freitas Silva, Alessandra Bisi, Federica Belluti and Silvia Gobbi and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Letizia Pruccoli

30 papers receiving 674 citations

Author Peers

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

Author						Papers	Cites
Letizia Pruccoli	312	216	167	111	97	31	684
Xixin He	318 1.0×	272 1.3×	150 0.9×	92 0.8×	99 1.0×	37	647
Hee Kim	176 0.6×	168 0.8×	119 0.7×	100 0.9×	249 2.6×	26	679
Oliver Rau	431 1.4×	125 0.6×	121 0.7×	92 0.8×	88 0.9×	25	782
Marjan Tavakkoli	216 0.7×	123 0.6×	199 1.2×	61 0.5×	77 0.8×	16	661
Haoran Liu	191 0.6×	302 1.4×	357 2.1×	191 1.7×	50 0.5×	32	784
Reyaz Hassan Mir	202 0.6×	94 0.4×	99 0.6×	50 0.5×	104 1.1×	52	675
Vanessa Silva Gontijo	203 0.7×	166 0.8×	156 0.9×	94 0.8×	52 0.5×	28	556
Preeti Gupta	419 1.3×	64 0.3×	86 0.5×	131 1.2×	43 0.4×	28	680
Nantaka Khorana	242 0.8×	181 0.8×	180 1.1×	35 0.3×	22 0.2×	44	713
Grazia Luisi	425 1.4×	76 0.4×	178 1.1×	33 0.3×	59 0.6×	40	699

Countries citing papers authored by Letizia Pruccoli

Since Specialization

Citations

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

Fields of papers citing papers by Letizia Pruccoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letizia Pruccoli

This figure shows the co-authorship network connecting the top 25 collaborators of Letizia Pruccoli. A scholar is included among the top collaborators of Letizia Pruccoli 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 Pruccoli. Letizia Pruccoli 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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