Casto Rivadulla

78 total papers · 1.2k total citations
44 papers, 941 citations indexed

About

Casto Rivadulla is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Casto Rivadulla has authored 44 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 25 papers in Cognitive Neuroscience and 8 papers in Physiology. Recurrent topics in Casto Rivadulla's work include Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (18 papers) and Photoreceptor and optogenetics research (8 papers). Casto Rivadulla is often cited by papers focused on Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (18 papers) and Photoreceptor and optogenetics research (8 papers). Casto Rivadulla collaborates with scholars based in Spain, United Kingdom and United States. Casto Rivadulla's co-authors include Javier Cudeiro, Kenneth L. Grieve, Mriganka Sur, Valentin Dragoi, Susana Martínez‐Conde, Carlos Acuña, Luis M. Martı́nez, Carmen de Labra, Rosa Rodríguez and Juan Aguilar and has published in prestigious journals such as Nature, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Casto Rivadulla

40 papers receiving 921 citations

Author Peers

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

Author Last Decade Papers Cites
Casto Rivadulla 591 549 190 149 135 44 941
J Szentágothai 432 0.7× 612 1.1× 223 1.2× 238 1.6× 205 1.5× 36 1.2k
Chenguang Zheng 535 0.9× 508 0.9× 100 0.5× 85 0.6× 141 1.0× 50 891
Alexander Friedman 413 0.7× 657 1.2× 220 1.2× 79 0.5× 131 1.0× 29 1.0k
L.T. Rutledge 607 1.0× 709 1.3× 180 0.9× 86 0.6× 108 0.8× 36 1.1k
Hiroshi Nakahama 469 0.8× 366 0.7× 99 0.5× 207 1.4× 71 0.5× 67 899
Seth K. Sharpless 549 0.9× 506 0.9× 199 1.0× 80 0.5× 55 0.4× 24 1.2k
Giovanni Colacicco 426 0.7× 477 0.9× 212 1.1× 89 0.6× 94 0.7× 24 1.0k
Hsiang‐Tung Chang 514 0.9× 438 0.8× 110 0.6× 134 0.9× 67 0.5× 19 912
Hiroyuki Nakamura 640 1.1× 389 0.7× 219 1.2× 101 0.7× 127 0.9× 27 1.1k
H. Caspers 422 0.7× 493 0.9× 179 0.9× 67 0.4× 82 0.6× 74 1.1k

Countries citing papers authored by Casto Rivadulla

Since Specialization
Citations

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

Fields of papers citing papers by Casto Rivadulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casto Rivadulla

This figure shows the co-authorship network connecting the top 25 collaborators of Casto Rivadulla. A scholar is included among the top collaborators of Casto Rivadulla 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 Casto Rivadulla. Casto Rivadulla 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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2026