Carmen Ferrer‐Pérez

55 total papers · 1.1k total citations
28 papers, 700 citations indexed

About

Carmen Ferrer‐Pérez is a scholar working on Behavioral Neuroscience, Social Psychology and Biological Psychiatry. According to data from OpenAlex, Carmen Ferrer‐Pérez has authored 28 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Behavioral Neuroscience, 12 papers in Social Psychology and 11 papers in Biological Psychiatry. Recurrent topics in Carmen Ferrer‐Pérez's work include Stress Responses and Cortisol (17 papers), Tryptophan and brain disorders (11 papers) and Neuroendocrine regulation and behavior (10 papers). Carmen Ferrer‐Pérez is often cited by papers focused on Stress Responses and Cortisol (17 papers), Tryptophan and brain disorders (11 papers) and Neuroendocrine regulation and behavior (10 papers). Carmen Ferrer‐Pérez collaborates with scholars based in Spain, United States and Poland. Carmen Ferrer‐Pérez's co-authors include José Miñarro, Marta Rodrı́guez-Arias, Marina D. Reguilón, Raúl Ballestín, Scott J. Russo, Katarzyna Dudek, Carol Tamminga, Caroline Ménard, Naguib Mechawar and Gustavo Turecki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Carmen Ferrer‐Pérez

27 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Carmen Ferrer‐Pérez 291 285 165 150 149 28 700
Yongjun Xu 347 1.2× 344 1.2× 130 0.8× 217 1.4× 66 0.4× 29 814
Maryam Rahimi-Balaei 332 1.1× 273 1.0× 122 0.7× 218 1.5× 212 1.4× 33 909
Mónica Morais 276 0.9× 258 0.9× 162 1.0× 161 1.1× 97 0.7× 25 864
David Budac 419 1.4× 554 1.9× 143 0.9× 111 0.7× 87 0.6× 21 892
Martin Egeland 251 0.9× 220 0.8× 151 0.9× 171 1.1× 93 0.6× 16 769
S. Poggini 330 1.1× 408 1.4× 319 1.9× 92 0.6× 82 0.6× 23 858
Michal Taler 197 0.7× 252 0.9× 111 0.7× 201 1.3× 58 0.4× 37 830
Caroline M. Sawicki 354 1.2× 362 1.3× 329 2.0× 101 0.7× 64 0.4× 27 747
Giorgia Boero 296 1.0× 166 0.6× 62 0.4× 107 0.7× 173 1.2× 23 670
Midori Ninomiya 364 1.3× 247 0.9× 82 0.5× 208 1.4× 147 1.0× 12 867

Countries citing papers authored by Carmen Ferrer‐Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Ferrer‐Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Ferrer‐Pérez. 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 Carmen Ferrer‐Pérez. The network helps show where Carmen Ferrer‐Pérez may publish in the future.

Co-authorship network of co-authors of Carmen Ferrer‐Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Ferrer‐Pérez. A scholar is included among the top collaborators of Carmen Ferrer‐Pérez 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 Carmen Ferrer‐Pérez. Carmen Ferrer‐Pérez 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