C. A. de Abreu

18 total papers · 754 total citations
13 papers, 583 citations indexed

About

C. A. de Abreu is a scholar working on Plant Science, Pollution and Analytical Chemistry. According to data from OpenAlex, C. A. de Abreu has authored 13 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Pollution and 5 papers in Analytical Chemistry. Recurrent topics in C. A. de Abreu's work include Plant Micronutrient Interactions and Effects (7 papers), Heavy metals in environment (6 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). C. A. de Abreu is often cited by papers focused on Plant Micronutrient Interactions and Effects (7 papers), Heavy metals in environment (6 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). C. A. de Abreu collaborates with scholars based in Brazil, Spain and Nigeria. C. A. de Abreu's co-authors include Leônidas Carrijo Azevedo Melo, Luke Beesley, Aline Peregrina Puga, Mônica Ferreira de Abreu, João Carlos de Andrade, Bernardo van Raij, Sara Adrián López de Andrade, Adriana Parada Dias da Silveira, Luís Reynaldo Ferracciú Alleoni and Ondino Cleante Bataglia and has published in prestigious journals such as Journal of Environmental Management, Applied Soil Ecology and Nutrient Cycling in Agroecosystems.

In The Last Decade

C. A. de Abreu

12 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
C. A. de Abreu	314	234	134	89	86	13	583
Hinnan Khalid	398 1.3×	322 1.4×	101 0.8×	121 1.4×	88 1.0×	13	630
T. J. Ganje	400 1.3×	214 0.9×	102 0.8×	48 0.5×	53 0.6×	17	669
Xiang Li	336 1.1×	164 0.7×	86 0.6×	57 0.6×	65 0.8×	18	694
Rebeca Manzano	366 1.2×	155 0.7×	86 0.6×	88 1.0×	41 0.5×	12	598
Mihiri Seneviratne	254 0.8×	264 1.1×	72 0.5×	52 0.6×	38 0.4×	19	593
Alejandra A. Jara	174 0.6×	186 0.8×	74 0.6×	52 0.6×	105 1.2×	17	662
Meng Wang	350 1.1×	161 0.7×	88 0.7×	79 0.9×	38 0.4×	23	563
Farhana Kumbhar	286 0.9×	94 0.4×	140 1.0×	79 0.9×	156 1.8×	10	589
Fuyu Guo	332 1.1×	178 0.8×	45 0.3×	77 0.9×	44 0.5×	18	510
A. S. Baker	341 1.1×	141 0.6×	93 0.7×	42 0.5×	75 0.9×	17	510

Countries citing papers authored by C. A. de Abreu

Since Specialization

Citations

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

Fields of papers citing papers by C. A. de Abreu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. de Abreu. 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 C. A. de Abreu. The network helps show where C. A. de Abreu may publish in the future.

Co-authorship network of co-authors of C. A. de Abreu

This figure shows the co-authorship network connecting the top 25 collaborators of C. A. de Abreu. A scholar is included among the top collaborators of C. A. de Abreu 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 C. A. de Abreu. C. A. de Abreu 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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