Merçè Pineda

22 total papers · 740 total citations
19 papers, 558 citations indexed

About

Merçè Pineda is a scholar working on Clinical Biochemistry, Molecular Biology and Rheumatology. According to data from OpenAlex, Merçè Pineda has authored 19 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Clinical Biochemistry, 10 papers in Molecular Biology and 7 papers in Rheumatology. Recurrent topics in Merçè Pineda's work include Metabolism and Genetic Disorders (13 papers), Folate and B Vitamins Research (7 papers) and Mitochondrial Function and Pathology (5 papers). Merçè Pineda is often cited by papers focused on Metabolism and Genetic Disorders (13 papers), Folate and B Vitamins Research (7 papers) and Mitochondrial Function and Pathology (5 papers). Merçè Pineda collaborates with scholars based in Spain, Denmark and Switzerland. Merçè Pineda's co-authors include Rafael Artuch, Paz Briones, Aída Ormazábal, María Antònia Vilaseca, Jaume Campistol, Julio Montoya, Marina Vilaseca, Esther Cardo, Catrina Colomé and María Dolores Herrero and has published in prestigious journals such as PEDIATRICS, Annals of Neurology and Clinica Chimica Acta.

In The Last Decade

Merçè Pineda

19 papers receiving 544 citations

Author Peers

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

Author Last Decade Papers Cites
Merçè Pineda 299 298 179 85 80 19 558
James D. Weisfeld‐Adams 284 0.9× 287 1.0× 282 1.6× 100 1.2× 44 0.6× 27 659
Yutaka Hase 326 1.1× 321 1.1× 118 0.7× 78 0.9× 64 0.8× 32 542
J. M. Saudubray 392 1.3× 517 1.7× 162 0.9× 140 1.6× 57 0.7× 26 659
Udo Wendel 246 0.8× 229 0.8× 233 1.3× 55 0.6× 48 0.6× 18 525
Apolline Imbard 237 0.8× 142 0.5× 226 1.3× 107 1.3× 58 0.7× 31 643
María Teresa García‐Silva 391 1.3× 233 0.8× 88 0.5× 34 0.4× 80 1.0× 24 592
Ubaldo Caruso 348 1.2× 336 1.1× 151 0.8× 108 1.3× 88 1.1× 21 660
F. A. M. Baumeister 201 0.7× 226 0.8× 47 0.3× 106 1.2× 77 1.0× 27 524
Komudi Siriwardena 277 0.9× 252 0.8× 128 0.7× 81 1.0× 49 0.6× 25 666
Gaetano Sabetta 339 1.1× 401 1.3× 78 0.4× 174 2.0× 61 0.8× 11 631

Countries citing papers authored by Merçè Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Merçè Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merçè Pineda

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