Fernando Agüero

63 total papers · 1.2k total citations
41 papers, 721 citations indexed

About

Fernando Agüero is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Fernando Agüero has authored 41 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 13 papers in Epidemiology and 10 papers in Virology. Recurrent topics in Fernando Agüero's work include HIV/AIDS drug development and treatment (13 papers), HIV/AIDS Research and Interventions (11 papers) and HIV Research and Treatment (10 papers). Fernando Agüero is often cited by papers focused on HIV/AIDS drug development and treatment (13 papers), HIV/AIDS Research and Interventions (11 papers) and HIV Research and Treatment (10 papers). Fernando Agüero collaborates with scholars based in Spain, Italy and Switzerland. Fernando Agüero's co-authors include José M. Miró, Asunción Moreno, Christian Manzardo, María José López, Xavier Continente, Pietro Ferrara, Anna Pérez, Manel Nebot Adell, María Grau and José M. Martínez-Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Fernando Agüero

38 papers receiving 701 citations

Author Peers

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

Author						Papers	Cites
Fernando Agüero	309	265	145	117	107	41	721
Henedina Antunes	100 0.3×	184 0.7×	68 0.5×	30 0.3×	37 0.3×	82	770
Marta López	176 0.6×	312 1.2×	39 0.3×	76 0.6×	11 0.1×	39	875
Montserrat Tuset	471 1.5×	208 0.8×	29 0.2×	69 0.6×	166 1.6×	49	791
Carlos F. Ríos‐Bedoya	110 0.4×	440 1.7×	356 2.5×	6 0.1×	33 0.3×	53	900
M. Zeier	296 1.0×	193 0.7×	8 0.1×	31 0.3×	173 1.6×	39	899
N. Bernard	307 1.0×	263 1.0×	236 1.6×	7 0.1×	170 1.6×	42	643
Caryn G. Morse	228 0.7×	325 1.2×	213 1.5×	7 0.1×	121 1.1×	36	799
Sean G. Kelly	304 1.0×	243 0.9×	152 1.0×	14 0.1×	168 1.6×	59	730
Emanuele Nicastro	109 0.4×	177 0.7×	168 1.2×	7 0.1×	26 0.2×	49	871
Rajendra Bhimma	109 0.4×	279 1.1×	209 1.4×	30 0.3×	16 0.1×	48	824

Countries citing papers authored by Fernando Agüero

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Agüero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Agüero

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