Fátima Aguilera

33 total papers · 631 total citations
24 papers, 521 citations indexed

About

Fátima Aguilera is a scholar working on Plant Science, Immunology and Allergy and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Fátima Aguilera has authored 24 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 12 papers in Immunology and Allergy and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Fátima Aguilera's work include Allergic Rhinitis and Sensitization (12 papers), Horticultural and Viticultural Research (12 papers) and Edible Oils Quality and Analysis (5 papers). Fátima Aguilera is often cited by papers focused on Allergic Rhinitis and Sensitization (12 papers), Horticultural and Viticultural Research (12 papers) and Edible Oils Quality and Analysis (5 papers). Fátima Aguilera collaborates with scholars based in Spain, Italy and United States. Fátima Aguilera's co-authors include Luís Ruíz Valenzuela, Marco Fornaciari, Fabio Orlandi, M. Msallem, Ali Ben Dhiab, Carmen Galán, José Oteros, Tommaso Bonofiglio, M.M. Trigo and Consuelo Díaz de la Guardia and has published in prestigious journals such as The Science of The Total Environment, Atmospheric Environment and Agricultural and Forest Meteorology.

In The Last Decade

Fátima Aguilera

23 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Fátima Aguilera 267 259 214 106 72 24 521
Ali Ben Dhiab 178 0.7× 287 1.1× 148 0.7× 62 0.6× 65 0.9× 23 484
Tommaso Bonofiglio 214 0.8× 370 1.4× 204 1.0× 73 0.7× 83 1.2× 26 613
Antonio Picornell 291 1.1× 125 0.5× 228 1.1× 151 1.4× 42 0.6× 27 461
Emma Tedeschini 217 0.8× 200 0.8× 204 1.0× 125 1.2× 26 0.4× 30 477
Gianfranco Mincigrucci 390 1.5× 198 0.8× 321 1.5× 93 0.9× 45 0.6× 18 508
Rafael Tormo Molina 374 1.4× 181 0.7× 335 1.6× 228 2.2× 52 0.7× 38 598
C. W. Crompton 61 0.2× 270 1.0× 230 1.1× 19 0.2× 55 0.8× 26 515
Predrag Radišić 338 1.3× 100 0.4× 285 1.3× 146 1.4× 53 0.7× 24 535
David Rodríguez de la Cruz 200 0.7× 151 0.6× 157 0.7× 214 2.0× 29 0.4× 45 477
Fabiana Cristofolini 160 0.6× 271 1.0× 219 1.0× 128 1.2× 77 1.1× 43 615

Countries citing papers authored by Fátima Aguilera

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Aguilera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fátima Aguilera

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