Mario A. Acuña

27 total papers · 727 total citations
20 papers, 507 citations indexed

About

Mario A. Acuña is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Mario A. Acuña has authored 20 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 12 papers in Physiology and 6 papers in Cognitive Neuroscience. Recurrent topics in Mario A. Acuña's work include Neuroscience and Neuropharmacology Research (11 papers), Pain Mechanisms and Treatments (11 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Mario A. Acuña is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Pain Mechanisms and Treatments (11 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Mario A. Acuña collaborates with scholars based in Switzerland, United States and Chile. Mario A. Acuña's co-authors include Hanns Ulrich Zeilhofer, William T. Ralvenius, Dietmar Benke, Gonzalo E. Yévenes, Uwe Rudolph, Jacinthe Gingras, Thomas Nevian, Niels R. Ntamati, Patrick Maier and Hendrik Wildner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mario A. Acuña

19 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Mario A. Acuña 268 242 173 73 38 20 507
Marco Emanuele 251 0.9× 255 1.1× 90 0.5× 86 1.2× 30 0.8× 22 541
Jimena Pérez-Sánchez 330 1.2× 220 0.9× 248 1.4× 63 0.9× 20 0.5× 14 516
Sandra Leo 264 1.0× 243 1.0× 172 1.0× 61 0.8× 26 0.7× 10 468
Irene Suárez‐Pereira 272 1.0× 214 0.9× 177 1.0× 123 1.7× 46 1.2× 22 586
Zengyou Ye 168 0.6× 197 0.8× 137 0.8× 68 0.9× 23 0.6× 20 577
Lorenzo Morè 289 1.1× 281 1.2× 76 0.4× 106 1.5× 61 1.6× 25 618
Jianghong Ye 291 1.1× 231 1.0× 87 0.5× 75 1.0× 18 0.5× 18 619
Ko Zushida 290 1.1× 243 1.0× 211 1.2× 147 2.0× 38 1.0× 20 589
Perrine Inquimbert 289 1.1× 214 0.9× 337 1.9× 36 0.5× 28 0.7× 21 591
Erik T. Dustrude 323 1.2× 331 1.4× 234 1.4× 67 0.9× 24 0.6× 23 595

Countries citing papers authored by Mario A. Acuña

Since Specialization
Citations

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

Fields of papers citing papers by Mario A. Acuña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario A. Acuña. 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 Mario A. Acuña. The network helps show where Mario A. Acuña may publish in the future.

Co-authorship network of co-authors of Mario A. Acuña

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

Rankless by CCL
2026