L. Agüera

26 total papers · 721 total citations
16 papers, 519 citations indexed

About

L. Agüera is a scholar working on Psychiatry and Mental health, Pharmacology and Social Psychology. According to data from OpenAlex, L. Agüera has authored 16 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 7 papers in Pharmacology and 3 papers in Social Psychology. Recurrent topics in L. Agüera's work include Treatment of Major Depression (5 papers), Dementia and Cognitive Impairment Research (4 papers) and Schizophrenia research and treatment (3 papers). L. Agüera is often cited by papers focused on Treatment of Major Depression (5 papers), Dementia and Cognitive Impairment Research (4 papers) and Schizophrenia research and treatment (3 papers). L. Agüera collaborates with scholars based in Spain, United Kingdom and Switzerland. L. Agüera's co-authors include Manuel Martín‐Carrasco, S. Ros, J. de la Gándara, Emilio Rojo, Javier Olazarán, Miquel Aguilar, Jorge A. Cervilla, J.A. Micó, Inmaculada Failde and Ginés Llorca and has published in prestigious journals such as Acta Psychiatrica Scandinavica, International Journal of Geriatric Psychiatry and Translational Psychiatry.

In The Last Decade

L. Agüera

15 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
L. Agüera 232 140 111 85 83 16 519
Sung-Won Jung 122 0.5× 121 0.9× 110 1.0× 57 0.7× 33 0.4× 20 497
Surendra Prasad Singh 196 0.8× 105 0.8× 75 0.7× 119 1.4× 82 1.0× 11 536
Trehani M. Fonseka 138 0.6× 92 0.7× 135 1.2× 141 1.7× 89 1.1× 23 619
Cohen Rm 242 1.0× 168 1.2× 54 0.5× 49 0.6× 114 1.4× 26 616
Ronald Landbloom 202 0.9× 88 0.6× 189 1.7× 43 0.5× 96 1.2× 15 597
Tom Stockmann 108 0.5× 115 0.8× 138 1.2× 155 1.8× 85 1.0× 7 612
Manaswi Gautam 121 0.5× 89 0.6× 108 1.0× 75 0.9× 31 0.4× 18 500
Nikhil Nihalani 174 0.8× 103 0.7× 159 1.4× 37 0.4× 36 0.4× 25 538
Yoshie Sakai 153 0.7× 71 0.5× 138 1.2× 93 1.1× 102 1.2× 20 588
Stephanie Cline 165 0.7× 131 0.9× 49 0.4× 84 1.0× 32 0.4× 11 465

Countries citing papers authored by L. Agüera

Since Specialization
Citations

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

Fields of papers citing papers by L. Agüera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Agüera

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