Barbara Catalano

26 total papers · 439 total citations
23 papers, 359 citations indexed

About

Barbara Catalano is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Barbara Catalano has authored 23 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 9 papers in Nature and Landscape Conservation and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Barbara Catalano's work include Marine and fisheries research (12 papers), Environmental Toxicology and Ecotoxicology (9 papers) and Fish Ecology and Management Studies (7 papers). Barbara Catalano is often cited by papers focused on Marine and fisheries research (12 papers), Environmental Toxicology and Ecotoxicology (9 papers) and Fish Ecology and Management Studies (7 papers). Barbara Catalano collaborates with scholars based in Italy, United States and France. Barbara Catalano's co-authors include Mario La Mesa, Chris Jones, Ginevra Moltedo, Chiara Maggi, Giulio Sesta, Francesco Regoli, Raffaella Bocchetti, Massimo Gabellini, Claudia Virno Lamberti and Laura Gastaldi and has published in prestigious journals such as Chemosphere, Toxicology and Applied Pharmacology and Water.

In The Last Decade

Barbara Catalano

20 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Barbara Catalano	156	148	139	78	76	23	359
Néstor F. Ciocco	103 0.7×	160 1.1×	153 1.1×	48 0.6×	77 1.0×	30	396
Florencia Arrighetti	108 0.7×	109 0.7×	114 0.8×	56 0.7×	81 1.1×	33	332
Andrew J. Lawrence	112 0.7×	209 1.4×	153 1.1×	54 0.7×	72 0.9×	20	400
Judith D. Huebner	91 0.6×	200 1.4×	124 0.9×	30 0.4×	128 1.7×	21	396
Andrew E. Jahn	87 0.6×	120 0.8×	107 0.8×	99 1.3×	127 1.7×	18	351
Lídia Nicolau	69 0.4×	190 1.3×	104 0.7×	87 1.1×	31 0.4×	17	339
A. R. Melwani	165 1.1×	108 0.7×	117 0.8×	94 1.2×	110 1.4×	27	343
Max Louis	72 0.5×	203 1.4×	178 1.3×	58 0.7×	62 0.8×	24	339
Vanessa Becquet	75 0.5×	187 1.3×	105 0.8×	34 0.4×	66 0.9×	20	367
Suzanne M. Lussier	185 1.2×	103 0.7×	34 0.2×	117 1.5×	32 0.4×	20	326

Countries citing papers authored by Barbara Catalano

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Catalano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Catalano

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