Jorge R. Brotons‐Mas

30 total papers · 1.3k total citations
18 papers, 916 citations indexed

About

Jorge R. Brotons‐Mas is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jorge R. Brotons‐Mas has authored 18 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 14 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Jorge R. Brotons‐Mas's work include Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (13 papers) and Neural dynamics and brain function (8 papers). Jorge R. Brotons‐Mas is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (13 papers) and Neural dynamics and brain function (8 papers). Jorge R. Brotons‐Mas collaborates with scholars based in Spain, Ireland and Chile. Jorge R. Brotons‐Mas's co-authors include Liset Menéndez de la Prida, Elena Cid, María V. Sánchez-Vives, Shane M. O’Mara, Marion Inostroza, Eugene O‘Hare, Isabel del Pino, Òscar Marín, Beatriz Rico and Beatriz Gal and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Jorge R. Brotons‐Mas

17 papers receiving 912 citations

Author Peers

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

Author Last Decade Papers Cites
Jorge R. Brotons‐Mas 673 555 183 112 106 18 916
Elena Cid 880 1.3× 689 1.2× 228 1.2× 191 1.7× 117 1.1× 34 1.2k
Ivan Marchionni 747 1.1× 443 0.8× 277 1.5× 70 0.6× 110 1.0× 20 974
Guzel Valeeva 582 0.9× 390 0.7× 218 1.2× 65 0.6× 70 0.7× 31 915
P.A. Schwartzkroin 735 1.1× 386 0.7× 302 1.7× 180 1.6× 69 0.7× 15 950
Seiichiro Jinde 501 0.7× 429 0.8× 251 1.4× 86 0.8× 77 0.7× 27 905
Bálint Lasztóczi 1.0k 1.5× 808 1.5× 273 1.5× 84 0.8× 157 1.5× 25 1.2k
Gergely Szabó 597 0.9× 415 0.7× 120 0.7× 70 0.6× 99 0.9× 16 807
Michele L. Pucak 523 0.8× 419 0.8× 229 1.3× 61 0.5× 107 1.0× 14 959
Nóra Szilágyi 576 0.9× 447 0.8× 280 1.5× 68 0.6× 108 1.0× 33 1.2k
Dennis Kätzel 638 0.9× 455 0.8× 253 1.4× 55 0.5× 82 0.8× 25 928

Countries citing papers authored by Jorge R. Brotons‐Mas

Since Specialization
Citations

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

Fields of papers citing papers by Jorge R. Brotons‐Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge R. Brotons‐Mas. 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 Jorge R. Brotons‐Mas. The network helps show where Jorge R. Brotons‐Mas may publish in the future.

Co-authorship network of co-authors of Jorge R. Brotons‐Mas

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge R. Brotons‐Mas. A scholar is included among the top collaborators of Jorge R. Brotons‐Mas 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 Jorge R. Brotons‐Mas. Jorge R. Brotons‐Mas 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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