Francesco Arioli

163 total papers · 3.0k total citations
117 papers, 2.2k citations indexed

About

Francesco Arioli is a scholar working on Health, Toxicology and Mutagenesis, Animal Science and Zoology and Food Science. According to data from OpenAlex, Francesco Arioli has authored 117 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Health, Toxicology and Mutagenesis, 26 papers in Animal Science and Zoology and 23 papers in Food Science. Recurrent topics in Francesco Arioli's work include Toxic Organic Pollutants Impact (22 papers), Pesticide Residue Analysis and Safety (19 papers) and Per- and polyfluoroalkyl substances research (17 papers). Francesco Arioli is often cited by papers focused on Toxic Organic Pollutants Impact (22 papers), Pesticide Residue Analysis and Safety (19 papers) and Per- and polyfluoroalkyl substances research (17 papers). Francesco Arioli collaborates with scholars based in Italy, Serbia and Norway. Francesco Arioli's co-authors include Luca Maria Chiesa, Sara Panseri, Maria Nobile, Radmila Pavlović, G. Pompa, Renato Malandra, A. Casati, Cosmo Godino, Sonia Bonacci and Annamaria Giorgi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Francesco Arioli

113 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Arioli 454 406 395 364 345 117 2.2k
Christina Tsitsimpikou 303 0.7× 410 1.0× 139 0.4× 503 1.4× 175 0.5× 102 2.7k
Pilar Fernández Hernando 571 1.3× 308 0.8× 110 0.3× 352 1.0× 467 1.4× 122 3.0k
Radmila Pavlović 283 0.6× 215 0.5× 49 0.1× 609 1.7× 147 0.4× 118 2.3k
Naeem Khan 305 0.7× 358 0.9× 56 0.1× 406 1.1× 377 1.1× 154 2.5k
Tit-Yee Wong 457 1.0× 132 0.3× 79 0.2× 745 2.0× 154 0.4× 66 2.8k
Jun Ueyama 339 0.7× 609 1.5× 60 0.2× 668 1.8× 372 1.1× 122 2.9k
Zhengli Chen 189 0.4× 173 0.4× 189 0.5× 678 1.9× 30 0.1× 144 2.6k
Jean‐François Huneau 459 1.0× 197 0.5× 50 0.1× 453 1.2× 95 0.3× 100 3.2k
Raija Tahvonen 560 1.2× 297 0.7× 33 0.1× 267 0.7× 263 0.8× 69 2.6k
Lishi Zhang 212 0.5× 324 0.8× 83 0.2× 721 2.0× 121 0.4× 196 2.6k

Countries citing papers authored by Francesco Arioli

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Arioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Arioli

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