Eduard Gracia

27 total papers · 628 total citations
16 papers, 468 citations indexed

About

Eduard Gracia is a scholar working on Physiology, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, Eduard Gracia has authored 16 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Molecular Biology and 7 papers in Economics and Econometrics. Recurrent topics in Eduard Gracia's work include Adenosine and Purinergic Signaling (8 papers), Receptor Mechanisms and Signaling (7 papers) and Complex Systems and Time Series Analysis (4 papers). Eduard Gracia is often cited by papers focused on Adenosine and Purinergic Signaling (8 papers), Receptor Mechanisms and Signaling (7 papers) and Complex Systems and Time Series Analysis (4 papers). Eduard Gracia collaborates with scholars based in Spain, United States and Sweden. Eduard Gracia's co-authors include Rafael Franco, Enric I. Canela, Vicent Casadó, Josefa Mallol, Antoni Cortés, Nicolas Glaichenhaus, Grégoire Lauvau, Anton V. Zavialov, Andrey V. Zavialov and Estefanía Moreno and has published in prestigious journals such as Biochemical Journal, The FASEB Journal and Journal of Neurochemistry.

In The Last Decade

Eduard Gracia

14 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Eduard Gracia 246 204 90 79 64 16 468
Émilie Degagné 203 0.8× 252 1.2× 98 1.1× 24 0.3× 55 0.9× 9 489
Valeria Sacchetto 306 1.2× 208 1.0× 76 0.8× 28 0.4× 59 0.9× 11 493
Arbansjit K. Sandhu 208 0.8× 238 1.2× 49 0.5× 38 0.5× 50 0.8× 13 459
Bettina Barthel 127 0.5× 173 0.8× 21 0.2× 63 0.8× 89 1.4× 16 429
Matthew S. Cowlen 126 0.5× 232 1.1× 39 0.4× 53 0.7× 38 0.6× 14 527
Simon McHugh 79 0.3× 127 0.6× 98 1.1× 18 0.2× 70 1.1× 16 498
Tianhua Ren 76 0.3× 114 0.6× 46 0.5× 32 0.4× 44 0.7× 21 441
Stéphanie Magnenat 170 0.7× 93 0.5× 91 1.0× 21 0.3× 22 0.3× 17 454
John Meshki 63 0.3× 256 1.3× 96 1.1× 107 1.4× 63 1.0× 18 474
José Bernardo Noronha‐Matos 151 0.6× 156 0.8× 52 0.6× 63 0.8× 13 0.2× 21 417

Countries citing papers authored by Eduard Gracia

Since Specialization
Citations

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

Fields of papers citing papers by Eduard Gracia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduard Gracia

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