Mercedes Serrano

140 total papers · 2.6k total citations
79 papers, 1.3k citations indexed

About

Mercedes Serrano is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, Mercedes Serrano has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 31 papers in Clinical Biochemistry and 24 papers in Genetics. Recurrent topics in Mercedes Serrano's work include Metabolism and Genetic Disorders (31 papers), Mitochondrial Function and Pathology (14 papers) and Genomics and Rare Diseases (13 papers). Mercedes Serrano is often cited by papers focused on Metabolism and Genetic Disorders (31 papers), Mitochondrial Function and Pathology (14 papers) and Genomics and Rare Diseases (13 papers). Mercedes Serrano collaborates with scholars based in Spain, United States and Belgium. Mercedes Serrano's co-authors include Rafael Artuch, Belén Pérez‐Dueñas, Aída Ormazábal, Àngels García‐Cazorla, Jordi Muchart, Jaume Campistol, Bru Cormand, Antonio Federico Martínez‐Monseny, Josep M. Campistol and Mónica Rebollo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Mercedes Serrano

73 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Mercedes Serrano 603 500 305 262 223 79 1.3k
Roser Pons 640 1.1× 808 1.6× 266 0.9× 229 0.9× 123 0.6× 57 1.6k
Birgit Assmann 870 1.4× 780 1.6× 298 1.0× 340 1.3× 161 0.7× 51 1.7k
Saadet Mercimek‐Mahmutoglu 715 1.2× 771 1.5× 377 1.2× 191 0.7× 302 1.4× 51 1.7k
Aída Ormazábal 720 1.2× 854 1.7× 371 1.2× 200 0.8× 422 1.9× 85 1.8k
Thomas Opladen 775 1.3× 840 1.7× 469 1.5× 196 0.7× 376 1.7× 83 1.8k
Brahim Tabarki 565 0.9× 287 0.6× 240 0.8× 326 1.2× 142 0.6× 89 1.8k
Pilar Rodríguez‐Pombo 823 1.4× 685 1.4× 157 0.5× 123 0.5× 161 0.7× 56 1.3k
Georg Christoph Korenke 912 1.5× 404 0.8× 377 1.2× 121 0.5× 172 0.8× 57 1.7k
Asuri N. Prasad 524 0.9× 424 0.8× 337 1.1× 110 0.4× 162 0.7× 80 1.6k
Christine Barnérias 701 1.2× 235 0.5× 284 0.9× 141 0.5× 146 0.7× 74 1.4k

Countries citing papers authored by Mercedes Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Mercedes Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercedes Serrano

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