Rosario Pásaro

53 total papers · 1.0k total citations
42 papers, 884 citations indexed

About

Rosario Pásaro is a scholar working on Endocrine and Autonomic Systems, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Rosario Pásaro has authored 42 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrine and Autonomic Systems, 14 papers in Social Psychology and 11 papers in Cognitive Neuroscience. Recurrent topics in Rosario Pásaro's work include Neuroscience of respiration and sleep (30 papers), Neuroendocrine regulation and behavior (14 papers) and Sleep and Wakefulness Research (10 papers). Rosario Pásaro is often cited by papers focused on Neuroscience of respiration and sleep (30 papers), Neuroendocrine regulation and behavior (14 papers) and Sleep and Wakefulness Research (10 papers). Rosario Pásaro collaborates with scholars based in Spain, France and United States. Rosario Pásaro's co-authors include Susana Gaytán, Pedro Nunez‐Abades, Federico Portillo, José M. Delgado‐García, J. Ribas, Gérard Hilaire, S González–Barón, A.L. Bianchi, Blas Torres and Brenda Cabrera‐Mendoza and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Brain Research.

In The Last Decade

Rosario Pásaro

41 papers receiving 860 citations

Author Peers

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

Author Last Decade Papers Cites
Rosario Pásaro 573 240 199 175 121 42 884
Kazuyoshi Otake 538 0.9× 196 0.8× 248 1.2× 199 1.1× 199 1.6× 35 988
Nathan A. Baertsch 685 1.2× 246 1.0× 358 1.8× 141 0.8× 158 1.3× 33 927
Consuelo Morgado‐Valle 555 1.0× 329 1.4× 410 2.1× 231 1.3× 126 1.0× 45 995
Kevin J. Cummings 622 1.1× 280 1.2× 155 0.8× 274 1.6× 166 1.4× 54 1.0k
Atsushi Doi 574 1.0× 248 1.0× 376 1.9× 229 1.3× 135 1.1× 49 1.0k
K Mückenhoff 618 1.1× 217 0.9× 215 1.1× 103 0.6× 222 1.8× 30 869
Nicole Larnicol 485 0.8× 161 0.7× 208 1.0× 90 0.5× 127 1.0× 33 723
C. O. Trouth 575 1.0× 179 0.7× 263 1.3× 245 1.4× 106 0.9× 38 933
Barbara Kruszewska 540 0.9× 226 0.9× 169 0.8× 188 1.1× 67 0.6× 16 842
Gaspard Montandon 606 1.1× 203 0.8× 265 1.3× 185 1.1× 187 1.5× 41 977

Countries citing papers authored by Rosario Pásaro

Since Specialization
Citations

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

Fields of papers citing papers by Rosario Pásaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosario Pásaro

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