Cláudia Aragão

92 total papers · 3.0k total citations
65 papers, 2.4k citations indexed

About

Cláudia Aragão is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Cláudia Aragão has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Aquatic Science, 38 papers in Immunology and 30 papers in Physiology. Recurrent topics in Cláudia Aragão's work include Aquaculture Nutrition and Growth (62 papers), Aquaculture disease management and microbiota (38 papers) and Reproductive biology and impacts on aquatic species (30 papers). Cláudia Aragão is often cited by papers focused on Aquaculture Nutrition and Growth (62 papers), Aquaculture disease management and microbiota (38 papers) and Reproductive biology and impacts on aquatic species (30 papers). Cláudia Aragão collaborates with scholars based in Portugal, Spain and Norway. Cláudia Aragão's co-authors include Luís E. C. Conceição, María Teresa Dinis, Benjamín Costas, Juan Miguel Mancera, Jorge Dias, Ivar Rønnestad, Sofía Engrola, Wilson Pinto, Ignacio Ruíz-Jarabo and António Afonso and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Cláudia Aragão

63 papers receiving 2.3k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Cláudia Aragão 2.0k 1.2k 714 556 216 65 2.4k
Sofía Engrola 1.7k 0.8× 828 0.7× 559 0.8× 489 0.9× 331 1.5× 98 2.2k
M.C. Hidalgo 2.0k 1.0× 1.2k 1.0× 589 0.8× 531 1.0× 311 1.4× 40 2.7k
Ewen McLean 2.0k 1.0× 1.1k 0.9× 801 1.1× 374 0.7× 307 1.4× 115 2.8k
Manuel de la Higuera 2.1k 1.0× 1.2k 1.0× 833 1.2× 458 0.8× 268 1.2× 69 2.5k
Yunxia Yang 2.4k 1.2× 1.6k 1.3× 699 1.0× 467 0.8× 321 1.5× 138 3.2k
Laura Ribeiro 1.9k 1.0× 896 0.7× 814 1.1× 460 0.8× 199 0.9× 77 2.4k
Huijun Yang 2.0k 1.0× 1.4k 1.1× 506 0.7× 344 0.6× 272 1.3× 61 2.5k
Sandrine Skiba‐Cassy 2.0k 1.0× 1.4k 1.1× 553 0.8× 532 1.0× 644 3.0× 68 2.7k
Brian C. Small 1.7k 0.8× 1.3k 1.0× 513 0.7× 623 1.1× 315 1.5× 98 2.7k
Michael J. Walton 1.3k 0.7× 783 0.6× 470 0.7× 406 0.7× 202 0.9× 37 1.8k

Countries citing papers authored by Cláudia Aragão

Since Specialization
Citations

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

Fields of papers citing papers by Cláudia Aragão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cláudia Aragão

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Aragão. A scholar is included among the top collaborators of Cláudia Aragão 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 Cláudia Aragão. Cláudia Aragão is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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