Silvia Maggioni

12 total papers · 732 total citations
11 papers, 591 citations indexed

About

Silvia Maggioni is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Silvia Maggioni has authored 11 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 5 papers in Health, Toxicology and Mutagenesis and 3 papers in Physiology. Recurrent topics in Silvia Maggioni's work include Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Reproductive biology and impacts on aquatic species (3 papers). Silvia Maggioni is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Reproductive biology and impacts on aquatic species (3 papers). Silvia Maggioni collaborates with scholars based in Italy, Germany and United Kingdom. Silvia Maggioni's co-authors include Emilio Benfenati, Luca Viganò, Alberta Mandich, Claudio Erratico, Patrick Balaguer, Ralph Urbatzka, Werner Kloas, Ilka Lutz, Sergio Bottero and A. Massari and has published in prestigious journals such as Food Chemistry, Chemosphere and Food and Chemical Toxicology.

In The Last Decade

Silvia Maggioni

11 papers receiving 578 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Maggioni 364 317 102 73 49 11 591
Erin E. Yost 360 1.0× 191 0.6× 53 0.5× 60 0.8× 37 0.8× 20 657
Knut-Erik Tollefsen 478 1.3× 277 0.9× 99 1.0× 34 0.5× 47 1.0× 20 694
Jenna Corcoran 254 0.7× 388 1.2× 68 0.7× 45 0.6× 26 0.5× 6 581
Yoshihiro Kagami 277 0.8× 222 0.7× 104 1.0× 99 1.4× 122 2.5× 20 590
Sara L. Tamisier‐Karolak 356 1.0× 357 1.1× 106 1.0× 47 0.6× 37 0.8× 9 607
Subramaniam Kugathas 384 1.1× 348 1.1× 179 1.8× 44 0.6× 49 1.0× 9 661
J. Easter 296 0.8× 383 1.2× 66 0.6× 189 2.6× 44 0.9× 12 624
Vicki L. Marlatt 308 0.8× 169 0.5× 170 1.7× 45 0.6× 79 1.6× 19 596
D. Barcel� 380 1.0× 391 1.2× 67 0.7× 36 0.5× 18 0.4× 10 633
Sibylle Maletz 405 1.1× 352 1.1× 28 0.3× 63 0.9× 28 0.6× 14 626

Countries citing papers authored by Silvia Maggioni

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Maggioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Maggioni

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