Regina Berretta

97 total papers · 2.1k total citations
59 papers, 1.1k citations indexed

About

Regina Berretta is a scholar working on Molecular Biology, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Regina Berretta has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Artificial Intelligence and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Regina Berretta's work include Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (17 papers) and Supply Chain and Inventory Management (8 papers). Regina Berretta is often cited by papers focused on Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (17 papers) and Supply Chain and Inventory Management (8 papers). Regina Berretta collaborates with scholars based in Australia, Brazil and Chile. Regina Berretta's co-authors include Pablo Moscato, Carlos Riveros, Alexandre Mendes, Martı́n Gómez Ravetti, Osvaldo A. Rosso, Heloisa Milioli, Daniel M. Johnstone, Nasimul Noman, Inna Tishchenko and Mohammad Nazmul Haque and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Production Economics.

In The Last Decade

Regina Berretta

56 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Regina Berretta 408 224 168 167 116 59 1.1k
Zhang Qishan 238 0.6× 226 1.0× 56 0.3× 97 0.6× 40 0.3× 153 1.1k
Shufen Liu 375 0.9× 120 0.5× 28 0.2× 65 0.4× 68 0.6× 145 1.1k
Rebecka Jörnsten 747 1.8× 127 0.6× 90 0.5× 76 0.5× 237 2.0× 44 1.4k
Huimin Jiang 447 1.1× 169 0.8× 52 0.3× 30 0.2× 221 1.9× 89 1.5k
Yong Xie 90 0.2× 155 0.7× 87 0.5× 48 0.3× 21 0.2× 77 1.1k
Chongjie Zhang 201 0.5× 343 1.5× 27 0.2× 156 0.9× 52 0.4× 81 1.1k
Martı́n Gómez Ravetti 198 0.5× 143 0.6× 482 2.9× 102 0.6× 7 0.1× 51 1.2k
Xiaoxuan Hu 150 0.4× 119 0.5× 209 1.2× 19 0.1× 73 0.6× 89 1.1k
Dongping Huang 292 0.7× 81 0.4× 23 0.1× 76 0.5× 151 1.3× 87 1.2k
Phillip C.‐Y. Sheu 159 0.4× 344 1.5× 24 0.1× 82 0.5× 20 0.2× 125 911

Countries citing papers authored by Regina Berretta

Since Specialization
Citations

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

Fields of papers citing papers by Regina Berretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Berretta

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