Beatriz Llamusí

42 total papers · 864 total citations
33 papers, 684 citations indexed

About

Beatriz Llamusí is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Beatriz Llamusí has authored 33 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 29 papers in Cellular and Molecular Neuroscience and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Beatriz Llamusí's work include Genetic Neurodegenerative Diseases (25 papers), Muscle Physiology and Disorders (16 papers) and RNA Research and Splicing (10 papers). Beatriz Llamusí is often cited by papers focused on Genetic Neurodegenerative Diseases (25 papers), Muscle Physiology and Disorders (16 papers) and RNA Research and Splicing (10 papers). Beatriz Llamusí collaborates with scholars based in Spain, United Kingdom and France. Beatriz Llamusí's co-authors include Rubén Artero, Estefanía Cerro-Herreros, Juan M. Fernández‐Costa, Amparo García-López, Manuel Pérez‐Alonso, Ariadna Bargiela, María Sabater-Arcis, Enríque Pérez‐Payá, Mar Orzáez and Almudena Ramón‐Cueto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Beatriz Llamusí

31 papers receiving 677 citations

Author Peers

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

Author Last Decade Papers Cites
Beatriz Llamusí 584 449 88 76 53 33 684
Marcella Neri 545 0.9× 196 0.4× 144 1.6× 74 1.0× 98 1.8× 37 781
Sonal Shah 486 0.8× 306 0.7× 37 0.4× 96 1.3× 21 0.4× 24 711
Abrar Qurashi 531 0.9× 182 0.4× 25 0.3× 36 0.5× 43 0.8× 17 658
Sylvie Diriong 572 1.0× 195 0.4× 57 0.6× 38 0.5× 10 0.2× 17 752
Patrice D. Côté 543 0.9× 217 0.5× 47 0.5× 34 0.4× 97 1.8× 17 668
Ashraf U. Mannan 272 0.5× 242 0.5× 25 0.3× 60 0.8× 91 1.7× 32 627
Barry A. Pepers 538 0.9× 291 0.6× 49 0.6× 70 0.9× 50 0.9× 27 674
Tine Deconinck 374 0.6× 372 0.8× 34 0.4× 102 1.3× 59 1.1× 27 726
Ercan Demir 367 0.6× 236 0.5× 29 0.3× 87 1.1× 52 1.0× 24 727
Séverine Kunz 483 0.8× 89 0.2× 26 0.3× 35 0.5× 39 0.7× 25 713

Countries citing papers authored by Beatriz Llamusí

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Llamusí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Llamusí

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