Beatrice Severino

142 total papers · 2.3k total citations
109 papers, 1.7k citations indexed

About

Beatrice Severino is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Beatrice Severino has authored 109 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 36 papers in Organic Chemistry and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in Beatrice Severino's work include Chemical Synthesis and Analysis (20 papers), Receptor Mechanisms and Signaling (19 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Beatrice Severino is often cited by papers focused on Chemical Synthesis and Analysis (20 papers), Receptor Mechanisms and Signaling (19 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Beatrice Severino collaborates with scholars based in Italy, Brazil and United States. Beatrice Severino's co-authors include Vincenzo Santagada, Giuseppe Caliendo, Ferdinando Fiorino, Elisa Perissutti, Francesco Frecentese, Elisa Magli, Angela Corvino, Giuseppe Cirino, Irene Saccone and Paola Di Vaio and has published in prestigious journals such as Hepatology, Scientific Reports and Chemosphere.

In The Last Decade

Beatrice Severino

102 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Beatrice Severino 790 490 298 232 122 109 1.7k
Ferdinando Fiorino 921 1.2× 606 1.2× 274 0.9× 230 1.0× 130 1.1× 111 1.8k
Elisa Perissutti 839 1.1× 873 1.8× 229 0.8× 204 0.9× 79 0.6× 111 1.7k
Vincenza Barresi 931 1.2× 310 0.6× 281 0.9× 31 0.1× 109 0.9× 78 1.8k
Brenda Walker Griffin 806 1.0× 175 0.4× 107 0.4× 137 0.6× 216 1.8× 60 1.7k
Melania Dovizio 680 0.9× 141 0.3× 142 0.5× 184 0.8× 127 1.0× 63 1.9k
Silvestro Duprè 919 1.2× 144 0.3× 134 0.4× 389 1.7× 207 1.7× 96 1.8k
Odette Laneuville 598 0.8× 169 0.3× 243 0.8× 470 2.0× 370 3.0× 78 2.3k
Toshiyuki Kaji 523 0.7× 131 0.3× 84 0.3× 95 0.4× 82 0.7× 136 1.8k
Lucia Cavallini 743 0.9× 123 0.3× 134 0.4× 81 0.3× 329 2.7× 71 1.5k
Joan A. Keiser 840 1.1× 193 0.4× 116 0.4× 70 0.3× 578 4.7× 63 2.4k

Countries citing papers authored by Beatrice Severino

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Severino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Severino

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