David Aguinaga

57 total papers · 2.1k total citations
43 papers, 1.7k citations indexed

About

David Aguinaga is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, David Aguinaga has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 8 papers in Pharmacology. Recurrent topics in David Aguinaga's work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (7 papers) and Cannabis and Cannabinoid Research (7 papers). David Aguinaga is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (7 papers) and Cannabis and Cannabinoid Research (7 papers). David Aguinaga collaborates with scholars based in Spain, Germany and United Kingdom. David Aguinaga's co-authors include Marı́a Cascales, Gemma Navarro, Rafael Franco, Carmen Dı́ez-Fernández, Enric I. Canela, Estefanía Moreno, Marı́a Isabel Sánchez-Reus, Inmaculada Bando, Josefa Mallol and Juana Benedı́ and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

David Aguinaga

42 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
David Aguinaga 763 456 294 267 155 43 1.7k
Biwen Peng 1.1k 1.4× 467 1.0× 194 0.7× 162 0.6× 285 1.8× 95 2.4k
Thiago Duarte 416 0.5× 199 0.4× 139 0.5× 145 0.5× 280 1.8× 80 1.8k
Ronald G. Coffey 739 1.0× 217 0.5× 265 0.9× 131 0.5× 509 3.3× 70 2.3k
G. Krishna 1.0k 1.3× 449 1.0× 128 0.4× 111 0.4× 423 2.7× 65 2.4k
Hala F. Zaki 542 0.7× 277 0.6× 200 0.7× 124 0.5× 312 2.0× 100 1.8k
Mahmoud M. Khattab 499 0.7× 201 0.4× 189 0.6× 132 0.5× 371 2.4× 88 1.9k
Sung‐Oh Huh 1.4k 1.9× 216 0.5× 202 0.7× 175 0.7× 379 2.4× 77 2.3k
Morena Zusso 692 0.9× 297 0.7× 332 1.1× 114 0.4× 492 3.2× 49 2.3k
Rudolf Moldzio 711 0.9× 315 0.7× 269 0.9× 113 0.4× 163 1.1× 57 1.6k
Anita Greco 602 0.8× 277 0.6× 792 2.7× 77 0.3× 265 1.7× 43 2.3k

Countries citing papers authored by David Aguinaga

Since Specialization
Citations

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

Fields of papers citing papers by David Aguinaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Aguinaga

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