Yolanda Peña‐Oliver

25 total papers · 913 total citations
14 papers, 447 citations indexed

About

Yolanda Peña‐Oliver is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Yolanda Peña‐Oliver has authored 14 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Yolanda Peña‐Oliver's work include Neurotransmitter Receptor Influence on Behavior (9 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Sleep and Wakefulness Research (2 papers). Yolanda Peña‐Oliver is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (9 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Sleep and Wakefulness Research (2 papers). Yolanda Peña‐Oliver collaborates with scholars based in United Kingdom and United States. Yolanda Peña‐Oliver's co-authors include David Stephens, Sandra Sanchez‐Roige, Tamzin L. Ripley, Leanne Trick, Theodora Duka, Vladimir L. Buchman, Trevor W. Robbins, Chiara Giuliano, Barry J. Everitt and David Belin and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Neuropsychopharmacology.

In The Last Decade

Yolanda Peña‐Oliver

14 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Yolanda Peña‐Oliver 309 174 93 69 58 14 447
Wendy K. Adams 252 0.8× 100 0.6× 64 0.7× 62 0.9× 42 0.7× 26 475
Jennifer E. Learn 271 0.9× 141 0.8× 62 0.7× 62 0.9× 56 1.0× 10 439
Jacqueline‐Marie N. Ferland 214 0.7× 87 0.5× 59 0.6× 65 0.9× 38 0.7× 21 469
Alexander Jatzko 136 0.4× 122 0.7× 138 1.5× 79 1.1× 53 0.9× 21 510
Jean M. Abel 241 0.8× 63 0.4× 82 0.9× 43 0.6× 59 1.0× 15 508
P. Hartman 144 0.5× 173 1.0× 66 0.7× 93 1.3× 18 0.3× 8 419
Kenneth V. White 148 0.5× 206 1.2× 67 0.7× 50 0.7× 41 0.7× 13 468
Shlomit Flaisher-Grinberg 205 0.7× 69 0.4× 140 1.5× 118 1.7× 44 0.8× 17 478
Mahesh Darna 278 0.9× 141 0.8× 117 1.3× 50 0.7× 17 0.3× 16 450
Lois M. Colle 290 0.9× 134 0.8× 90 1.0× 75 1.1× 14 0.2× 12 434

Countries citing papers authored by Yolanda Peña‐Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Yolanda Peña‐Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yolanda Peña‐Oliver. 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 Yolanda Peña‐Oliver. The network helps show where Yolanda Peña‐Oliver may publish in the future.

Co-authorship network of co-authors of Yolanda Peña‐Oliver

This figure shows the co-authorship network connecting the top 25 collaborators of Yolanda Peña‐Oliver. A scholar is included among the top collaborators of Yolanda Peña‐Oliver 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 Yolanda Peña‐Oliver. Yolanda Peña‐Oliver 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