Daína Lima

43 total papers · 810 total citations
38 papers, 633 citations indexed

About

Daína Lima is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Global and Planetary Change. According to data from OpenAlex, Daína Lima has authored 38 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Health, Toxicology and Mutagenesis, 18 papers in Pollution and 7 papers in Global and Planetary Change. Recurrent topics in Daína Lima's work include Environmental Toxicology and Ecotoxicology (27 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Toxic Organic Pollutants Impact (7 papers). Daína Lima is often cited by papers focused on Environmental Toxicology and Ecotoxicology (27 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Toxic Organic Pollutants Impact (7 papers). Daína Lima collaborates with scholars based in Brazil, United States and Portugal. Daína Lima's co-authors include Eduardo Alves de Almeida, Afonso Celso Dias Bainy, Jacó Joaquim Mattos, Márcia Caruso Bı́cego, Satie Taniguchi, Danilo Grünig Humberto da Silva, Flávia Lucena Zacchi, Karim H. Lüchmann, S. Sasaki and Fabrício Flores-Nunes and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Daína Lima

36 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Daína Lima	404	265	69	68	58	38	633
Carolina Camacho	311 0.8×	239 0.9×	116 1.7×	95 1.4×	59 1.0×	31	720
Milagrosa Oliva	328 0.8×	283 1.1×	68 1.0×	20 0.3×	39 0.7×	26	570
Karim H. Lüchmann	426 1.1×	252 1.0×	70 1.0×	135 2.0×	22 0.4×	34	600
Francesca Falco	352 0.9×	313 1.2×	65 0.9×	79 1.2×	26 0.4×	25	665
Marianna Basso Jorge	417 1.0×	178 0.7×	88 1.3×	63 0.9×	36 0.6×	33	571
Sajal Ray	262 0.6×	113 0.4×	52 0.8×	59 0.9×	115 2.0×	57	640
Paolo Cocci	260 0.6×	174 0.7×	84 1.2×	28 0.4×	53 0.9×	53	768
Hye-Min Kang	345 0.9×	190 0.7×	73 1.1×	31 0.5×	42 0.7×	29	576
Rick D. Cardwell	407 1.0×	215 0.8×	41 0.6×	63 0.9×	27 0.5×	32	580
G. E. Zaroogian	489 1.2×	239 0.9×	127 1.8×	90 1.3×	27 0.5×	38	772

Countries citing papers authored by Daína Lima

Since Specialization

Citations

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

Fields of papers citing papers by Daína Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daína Lima

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