Carmen Barral

67 total papers · 786 total citations
43 papers, 576 citations indexed

About

Carmen Barral is a scholar working on Psychiatry and Mental health, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carmen Barral has authored 43 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Psychiatry and Mental health, 16 papers in Epidemiology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carmen Barral's work include Schizophrenia research and treatment (15 papers), Substance Abuse Treatment and Outcomes (13 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Carmen Barral is often cited by papers focused on Schizophrenia research and treatment (15 papers), Substance Abuse Treatment and Outcomes (13 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Carmen Barral collaborates with scholars based in Spain, Palestinian Territory and United States. Carmen Barral's co-authors include Miguel Casas, Carlos Roncero, Lara Grau‐López, Laia Rodríguez-Cintas, Constanza Daigre, Jesús Pérez-Pazos, Nieves Martínez‐Luna, Francisco José Eiroá‐Orosa, Marc Ferrer and Sergi Valero and has published in prestigious journals such as PLoS ONE, Scientific Reports and Psychiatry Research.

In The Last Decade

Carmen Barral

42 papers receiving 562 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 Barral 191 187 157 122 80 43 576
Enriqueta Ochoa Mangado 121 0.6× 134 0.7× 199 1.3× 119 1.0× 68 0.8× 54 522
Luca Rovai 174 0.9× 233 1.2× 151 1.0× 102 0.8× 102 1.3× 38 532
MARTIN H. KEELER 194 1.0× 139 0.7× 97 0.6× 124 1.0× 81 1.0× 35 621
Shamil Wanigaratne 168 0.9× 199 1.1× 228 1.5× 94 0.8× 104 1.3× 36 682
Anita S. Kablinger 130 0.7× 215 1.1× 94 0.6× 79 0.6× 64 0.8× 49 625
Alain Dervaux 200 1.0× 328 1.8× 133 0.8× 113 0.9× 62 0.8× 64 661
Robert A. Greenstein 127 0.7× 188 1.0× 229 1.5× 164 1.3× 182 2.3× 31 677
Esperanza Vergara‐Moragues 132 0.7× 203 1.1× 157 1.0× 166 1.4× 59 0.7× 54 627
Emanuela Trogu 114 0.6× 161 0.9× 237 1.5× 148 1.2× 124 1.6× 19 541
McLellan At 154 0.8× 127 0.7× 355 2.3× 168 1.4× 156 1.9× 32 614

Countries citing papers authored by Carmen Barral

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Barral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Barral

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