Cintia E. Paisio

26 total papers · 567 total citations
23 papers, 394 citations indexed

About

Cintia E. Paisio is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Molecular Biology. According to data from OpenAlex, Cintia E. Paisio has authored 23 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 7 papers in Molecular Biology. Recurrent topics in Cintia E. Paisio's work include Chromium effects and bioremediation (11 papers), Microbial bioremediation and biosurfactants (6 papers) and Constructed Wetlands for Wastewater Treatment (5 papers). Cintia E. Paisio is often cited by papers focused on Chromium effects and bioremediation (11 papers), Microbial bioremediation and biosurfactants (6 papers) and Constructed Wetlands for Wastewater Treatment (5 papers). Cintia E. Paisio collaborates with scholars based in Argentina, Portugal and Spain. Cintia E. Paisio's co-authors include Elizabeth Agostini, Paola S. González, Melina A. Talano, Ornella M. Ontañon, Marı́a I. Medina, Julián Rodríguez Talou, Eloísa Pajuelo, Bruno Nunes, Gilberto Dias de Alkimin and P. Vélez and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Environmental Management and Desalination.

In The Last Decade

Cintia E. Paisio

22 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Cintia E. Paisio	161	149	102	94	88	23	394
Mahavir Yadav	120 0.7×	101 0.7×	84 0.8×	52 0.6×	112 1.3×	21	414
Maria Gerginova	210 1.3×	79 0.5×	97 1.0×	92 1.0×	41 0.5×	35	415
Xiangwei Wu	279 1.7×	141 0.9×	72 0.7×	42 0.4×	48 0.5×	21	445
Luyao Qin	239 1.5×	107 0.7×	101 1.0×	39 0.4×	65 0.7×	33	439
Shimin Zhang	150 0.9×	120 0.8×	107 1.0×	35 0.4×	116 1.3×	25	435
Sumbal Sajid	127 0.8×	54 0.4×	140 1.4×	71 0.8×	54 0.6×	23	401
Silvana A. Ramírez	96 0.6×	111 0.7×	44 0.4×	66 0.7×	140 1.6×	24	444
Joanna Augustynowicz	136 0.8×	115 0.8×	150 1.5×	64 0.7×	70 0.8×	40	396
Zhiyong Yu	80 0.5×	113 0.8×	72 0.7×	53 0.6×	59 0.7×	33	407
A. Joseph Thatheyus	149 0.9×	117 0.8×	96 0.9×	53 0.6×	58 0.7×	33	423

Countries citing papers authored by Cintia E. Paisio

Since Specialization

Citations

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

Fields of papers citing papers by Cintia E. Paisio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cintia E. Paisio. 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 Cintia E. Paisio. The network helps show where Cintia E. Paisio may publish in the future.

Co-authorship network of co-authors of Cintia E. Paisio

This figure shows the co-authorship network connecting the top 25 collaborators of Cintia E. Paisio. A scholar is included among the top collaborators of Cintia E. Paisio 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 Cintia E. Paisio. Cintia E. Paisio 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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