Serena Manganelli

36 total papers · 860 total citations
27 papers, 480 citations indexed

About

Serena Manganelli is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Serena Manganelli has authored 27 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 8 papers in Health, Toxicology and Mutagenesis and 8 papers in Environmental Chemistry. Recurrent topics in Serena Manganelli's work include Computational Drug Discovery Methods (18 papers), Chemistry and Chemical Engineering (8 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Serena Manganelli is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Chemistry and Chemical Engineering (8 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Serena Manganelli collaborates with scholars based in Italy, Switzerland and Japan. Serena Manganelli's co-authors include Emilio Benfenati, Alberto Manganaro, Alessandra Roncaglioni, Alessandro Esposito, Domenico Gadaleta, Andrey A. Toropov, Alla P. Toropova, Cosimo Toma, Enrico Mombelli and Masamitsu Honma and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

Serena Manganelli

27 papers receiving 475 citations

Author Peers

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

Author Last Decade Papers Cites
Serena Manganelli 260 110 95 87 63 27 480
Suman Chakravarti 277 1.1× 70 0.6× 170 1.8× 59 0.7× 44 0.7× 24 487
Julian Ivanov 266 1.0× 56 0.5× 73 0.8× 72 0.8× 103 1.6× 22 465
Paolo Mazzatorta 282 1.1× 31 0.3× 115 1.2× 115 1.3× 49 0.8× 24 483
Giuseppa Raitano 250 1.0× 43 0.4× 120 1.3× 108 1.2× 23 0.4× 26 433
Arianna Bassan 245 0.9× 36 0.3× 96 1.0× 135 1.6× 49 0.8× 30 497
Cosimo Toma 254 1.0× 31 0.3× 126 1.3× 109 1.3× 46 0.7× 17 521
Gilles Klopman 212 0.8× 55 0.5× 134 1.4× 120 1.4× 74 1.2× 19 533
Tomasz Magdziarz 291 1.1× 59 0.5× 204 2.1× 73 0.8× 95 1.5× 34 519
Charles M. Auer 223 0.9× 26 0.2× 58 0.6× 132 1.5× 49 0.8× 15 405
Heather L. Ciallella 275 1.1× 71 0.6× 167 1.8× 66 0.8× 27 0.4× 11 451

Countries citing papers authored by Serena Manganelli

Since Specialization
Citations

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

Fields of papers citing papers by Serena Manganelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Manganelli

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