Ángela Casado

52 total papers · 1.2k total citations
37 papers, 912 citations indexed

About

Ángela Casado is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics. According to data from OpenAlex, Ángela Casado has authored 37 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Nutrition and Dietetics. Recurrent topics in Ángela Casado's work include Vitamin C and Antioxidants Research (6 papers), Glutathione Transferases and Polymorphisms (4 papers) and Down syndrome and intellectual disability research (4 papers). Ángela Casado is often cited by papers focused on Vitamin C and Antioxidants Research (6 papers), Glutathione Transferases and Polymorphisms (4 papers) and Down syndrome and intellectual disability research (4 papers). Ángela Casado collaborates with scholars based in Spain, Italy and United States. Ángela Casado's co-authors include Encarnación López-Fernández, Carlos M. Campos, Rodrigo Guzmán, Fernando Fariñas, Pedro Gil Madrona, V.D. Ramírez, Alberto Castellanos, António Pellicer, Rafael de la Torre and Pedro Gil and has published in prestigious journals such as Analytical Biochemistry, Cellular and Molecular Life Sciences and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Ángela Casado

34 papers receiving 875 citations

Author Peers

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

Author						Papers	Cites
Ángela Casado	257	206	120	90	83	37	912
Rafael Calixto Bortolin	212 0.8×	211 1.0×	64 0.5×	92 1.0×	97 1.2×	37	899
Hüseyin Avni Uydu	152 0.6×	183 0.9×	95 0.8×	110 1.2×	56 0.7×	42	1.2k
Elif Özerol	128 0.5×	239 1.2×	104 0.9×	101 1.1×	57 0.7×	42	1.2k
Yi‐Chin Lin	225 0.9×	393 1.9×	163 1.4×	101 1.1×	62 0.7×	41	1.2k
Fabrizia Bamonti	194 0.8×	244 1.2×	69 0.6×	179 2.0×	146 1.8×	47	1.1k
Antonio Gennaro Nicotera	303 1.2×	209 1.0×	79 0.7×	94 1.0×	100 1.2×	41	1.1k
Babak Hooshmand	320 1.2×	147 0.7×	151 1.3×	98 1.1×	49 0.6×	30	980
Nemat Khansari	223 0.9×	343 1.7×	63 0.5×	68 0.8×	93 1.1×	35	1.1k
Vahid Maleki	227 0.9×	252 1.2×	120 1.0×	108 1.2×	72 0.9×	46	903
Shyh‐Hsiang Lin	216 0.8×	317 1.5×	72 0.6×	132 1.5×	57 0.7×	39	870

Countries citing papers authored by Ángela Casado

Since Specialization

Citations

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

Fields of papers citing papers by Ángela Casado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángela Casado

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