María Goicoechea

66 total papers · 765 total citations
21 papers, 362 citations indexed

About

María Goicoechea is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, María Goicoechea has authored 21 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Rheumatology. Recurrent topics in María Goicoechea's work include Muscle Physiology and Disorders (8 papers), Calpain Protease Function and Regulation (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). María Goicoechea is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Calpain Protease Function and Regulation (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). María Goicoechea collaborates with scholars based in Spain, France and Germany. María Goicoechea's co-authors include Adolfo López de Munaín, Ana Aiastui, Ander Matheu, Mikel García-Puga, Roberto Fernández‐Torrón, Lorea Blázquez, Amets Sáenz, David Otaegui, Xavier Ferrer and Juan José Poza and has published in prestigious journals such as Annals of Neurology, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

María Goicoechea

20 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
María Goicoechea 206 112 66 44 42 21 362
Simon Rothwell 174 0.8× 125 1.1× 33 0.5× 48 1.1× 37 0.9× 23 373
Banan Al‐Younes 222 1.1× 55 0.5× 35 0.5× 64 1.5× 23 0.5× 18 387
Paschalis Nicolaou 189 0.9× 129 1.2× 35 0.5× 22 0.5× 16 0.4× 26 336
Judit Symmank 169 0.8× 88 0.8× 56 0.8× 28 0.6× 61 1.5× 27 363
M. Di Rocco 118 0.6× 73 0.7× 30 0.5× 57 1.3× 18 0.4× 20 364
Giovanni Marrosu 227 1.1× 55 0.5× 47 0.7× 18 0.4× 40 1.0× 19 345
Rolf Schr�der 162 0.8× 97 0.9× 62 0.9× 15 0.3× 18 0.4× 12 327
Luis Rohena 191 0.9× 47 0.4× 52 0.8× 24 0.5× 13 0.3× 27 380
Emanuela Dazzo 153 0.7× 57 0.5× 57 0.9× 25 0.6× 11 0.3× 20 368
Salla M. Kangas 165 0.8× 120 1.1× 32 0.5× 20 0.5× 14 0.3× 21 313

Countries citing papers authored by María Goicoechea

Since Specialization
Citations

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

Fields of papers citing papers by María Goicoechea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Goicoechea

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