Antonio Cassano

17 total papers · 2.0k total citations
9 papers, 406 citations indexed

About

Antonio Cassano is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Environmental Chemistry. According to data from OpenAlex, Antonio Cassano has authored 9 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 5 papers in Computational Theory and Mathematics and 2 papers in Environmental Chemistry. Recurrent topics in Antonio Cassano's work include Computational Drug Discovery Methods (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Chemistry and Chemical Engineering (2 papers). Antonio Cassano is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Chemistry and Chemical Engineering (2 papers). Antonio Cassano collaborates with scholars based in Italy, United Kingdom and United States. Antonio Cassano's co-authors include Emilio Benfenati, M Cronin, Richard Marchese Robinson, Bakhtiyor Rasulev, Jerzy Leszczyński, Alberto Manganaro, Douglas Young, Nadège Piclin, Todd M. Martin and Marco Pintore and has published in prestigious journals such as Nanoscale, Toxicology Letters and Chemistry Central Journal.

In The Last Decade

Antonio Cassano

9 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
Antonio Cassano	149	126	125	70	57	9	406
Christa Hennes	134 0.9×	68 0.5×	141 1.1×	35 0.5×	47 0.8×	9	396
David Asturiol	129 0.9×	100 0.8×	107 0.9×	29 0.4×	57 1.0×	20	435
John F. Garrod	145 1.0×	86 0.7×	167 1.3×	51 0.7×	49 0.9×	21	374
Serena Manganelli	110 0.7×	260 2.1×	87 0.7×	38 0.5×	28 0.5×	27	480
Natalja Fjodorova	96 0.6×	241 1.9×	44 0.4×	19 0.3×	39 0.7×	23	377
Carlton P. Jones	73 0.5×	37 0.3×	80 0.6×	38 0.5×	73 1.3×	15	400
Claire L. Mellor	98 0.7×	209 1.7×	90 0.7×	11 0.2×	24 0.4×	19	473
Claire M. Ellison	25 0.2×	242 1.9×	157 1.3×	49 0.7×	17 0.3×	14	464
Heather L. Ciallella	71 0.5×	275 2.2×	66 0.5×	14 0.2×	25 0.4×	11	451
Angela White	30 0.2×	131 1.0×	96 0.8×	32 0.5×	17 0.3×	22	422

Countries citing papers authored by Antonio Cassano

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Cassano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Cassano

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