Maurizio Rocchetti

75 total papers · 2.3k total citations
35 papers, 1.3k citations indexed

About

Maurizio Rocchetti is a scholar working on Molecular Biology, Modeling and Simulation and Oncology. According to data from OpenAlex, Maurizio Rocchetti has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Modeling and Simulation and 7 papers in Oncology. Recurrent topics in Maurizio Rocchetti's work include Mathematical Biology Tumor Growth (9 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Histone Deacetylase Inhibitors Research (4 papers). Maurizio Rocchetti is often cited by papers focused on Mathematical Biology Tumor Growth (9 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Histone Deacetylase Inhibitors Research (4 papers). Maurizio Rocchetti collaborates with scholars based in Italy, United States and United Kingdom. Maurizio Rocchetti's co-authors include Giuseppe De Nicolao, Italo Poggesi, Massimiliano Germani, Paolo Magni, Monica Simeoni, Enrico Pesenti, Valter Croci, P. Bettica, Prem Puri and Martino Recchia and has published in prestigious journals such as Blood, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Maurizio Rocchetti

34 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
Maurizio Rocchetti 612 378 215 137 132 35 1.3k
Joseph J Casciari 372 0.6× 219 0.6× 282 1.3× 197 1.4× 330 2.5× 28 1.5k
Dinesh P. de Alwis 515 0.8× 893 2.4× 74 0.3× 29 0.2× 180 1.4× 37 1.6k
Mirra Chung 946 1.5× 542 1.4× 33 0.2× 113 0.8× 217 1.6× 29 1.8k
Patricia Vrignaud 698 1.1× 946 2.5× 23 0.1× 142 1.0× 243 1.8× 57 1.8k
Haeng Ran Seo 611 1.0× 431 1.1× 33 0.2× 115 0.8× 286 2.2× 39 1.2k
Yan Zhang 1.0k 1.7× 274 0.7× 55 0.3× 156 1.1× 175 1.3× 45 1.7k
Nikolay Borisov 947 1.5× 146 0.4× 19 0.1× 59 0.4× 191 1.4× 38 1.5k
Jorrit J. Hornberg 813 1.3× 148 0.4× 48 0.2× 58 0.4× 94 0.7× 29 1.3k
R. Christopher Harmon 434 0.7× 358 0.9× 18 0.1× 84 0.6× 136 1.0× 13 1.1k
Andrew E. Place 859 1.4× 469 1.2× 13 0.1× 82 0.6× 220 1.7× 54 1.6k

Countries citing papers authored by Maurizio Rocchetti

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Rocchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Rocchetti

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