Paloma Merchán

18 total papers · 613 total citations
10 papers, 404 citations indexed

About

Paloma Merchán is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Paloma Merchán has authored 10 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Paloma Merchán's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Axon Guidance and Neuronal Signaling (4 papers) and Congenital heart defects research (2 papers). Paloma Merchán is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Axon Guidance and Neuronal Signaling (4 papers) and Congenital heart defects research (2 papers). Paloma Merchán collaborates with scholars based in Spain, United States and France. Paloma Merchán's co-authors include Luis Puelles, José Luis Ferrán, Fernando de Castro, Juan E. Sandoval, Luisa Sánchez‐Arrones, M. Martínez-de-la-Torre, Cristina Sánchez‐Camacho, Ana Bribián, Paola Bovolenta and Àngels García‐Cazorla and has published in prestigious journals such as Nature Communications, The Journal of Comparative Neurology and Glia.

In The Last Decade

Paloma Merchán

10 papers receiving 402 citations

Author Peers

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

Author Last Decade Papers Cites
Paloma Merchán 262 152 139 54 39 10 404
Maria Elisabetta Maragnoli 222 0.8× 169 1.1× 170 1.2× 58 1.1× 29 0.7× 10 436
Kenichi Toma 242 0.9× 81 0.5× 117 0.8× 52 1.0× 32 0.8× 14 378
Kathryn Allaway 298 1.1× 122 0.8× 122 0.9× 55 1.0× 32 0.8× 6 426
Eirinn Mackay 136 0.5× 154 1.0× 109 0.8× 59 1.1× 44 1.1× 13 404
Irene Cinà 247 0.9× 173 1.1× 89 0.6× 57 1.1× 31 0.8× 7 419
Fabienne Alfonsi 193 0.7× 123 0.8× 199 1.4× 34 0.6× 18 0.5× 10 425
Kazuhiro Ishii 194 0.7× 185 1.2× 204 1.5× 92 1.7× 34 0.9× 9 440
Yu R. Han 211 0.8× 83 0.5× 131 0.9× 53 1.0× 31 0.8× 7 441
Adrián Cárdenas 299 1.1× 234 1.5× 135 1.0× 52 1.0× 61 1.6× 11 439
Kenji Shimamura 252 1.0× 155 1.0× 132 0.9× 90 1.7× 40 1.0× 7 393

Countries citing papers authored by Paloma Merchán

Since Specialization
Citations

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

Fields of papers citing papers by Paloma Merchán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paloma Merchán

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