Eva Aguilera

50 total papers · 4.3k total citations
34 papers, 534 citations indexed

About

Eva Aguilera is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Eva Aguilera has authored 34 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Genetics and 16 papers in Surgery. Recurrent topics in Eva Aguilera's work include Diabetes and associated disorders (19 papers), Diabetes Management and Research (17 papers) and Pancreatic function and diabetes (16 papers). Eva Aguilera is often cited by papers focused on Diabetes and associated disorders (19 papers), Diabetes Management and Research (17 papers) and Pancreatic function and diabetes (16 papers). Eva Aguilera collaborates with scholars based in Spain, Italy and Australia. Eva Aguilera's co-authors include Ignacio Conget, Roser Casamitjana, Ramón Gomis, Anna Sanmartı́, María Luisa Granada, Berta Soldevila, Dı́dac Mauricio, Marta Vives‐Pi, Jordi L. Reverter and Manel Puig‐Domingo and has published in prestigious journals such as Diabetes Care, Diabetes and Scientific Reports.

In The Last Decade

Eva Aguilera

34 papers receiving 525 citations

Author Peers

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

Author						Papers	Cites
Eva Aguilera	329	214	214	72	58	34	534
Eleni Z. Giannopoulou	224 0.7×	238 1.1×	328 1.5×	73 1.0×	48 0.8×	23	520
José Egídio Paulo de Oliveira	246 0.7×	162 0.8×	209 1.0×	36 0.5×	34 0.6×	46	519
Élise Bismuth	222 0.7×	141 0.7×	137 0.6×	46 0.6×	36 0.6×	27	603
Nicola Minuto	285 0.9×	225 1.1×	273 1.3×	24 0.3×	34 0.6×	42	589
Kateřina Štechová	150 0.5×	130 0.6×	201 0.9×	161 2.2×	53 0.9×	55	515
Marc Diedisheim	160 0.5×	190 0.9×	213 1.0×	163 2.3×	56 1.0×	22	503
Guanping Dong	182 0.6×	91 0.4×	134 0.6×	29 0.4×	86 1.5×	49	462
Daniele Cappellani	307 0.9×	87 0.4×	75 0.4×	28 0.4×	31 0.5×	30	488
A Lallemand	236 0.7×	320 1.5×	279 1.3×	83 1.2×	26 0.4×	27	568
Miriam Cellini	378 1.1×	114 0.5×	82 0.4×	54 0.8×	54 0.9×	20	589

Countries citing papers authored by Eva Aguilera

Since Specialization

Citations

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

Fields of papers citing papers by Eva Aguilera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Aguilera

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact