Núria de Vera

37 total papers · 661 total citations
28 papers, 563 citations indexed

About

Núria de Vera is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Núria de Vera has authored 28 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Biochemistry. Recurrent topics in Núria de Vera's work include Polyamine Metabolism and Applications (15 papers), Neuroscience and Neuropharmacology Research (9 papers) and Amino Acid Enzymes and Metabolism (8 papers). Núria de Vera is often cited by papers focused on Polyamine Metabolism and Applications (15 papers), Neuroscience and Neuropharmacology Research (9 papers) and Amino Acid Enzymes and Metabolism (8 papers). Núria de Vera collaborates with scholars based in Spain, Belgium and United Kingdom. Núria de Vera's co-authors include Emili Martı́nez, Francesc Artigas, Coral Sanfeliu, Joan Serratosa, Anna M. Planas, Meritxell Vivó, Rosa Cristòfol, Jerzy Krupiński, Marta Miguel Turu and Lina Badimón and has published in prestigious journals such as Brain Research, Biophysical Journal and International Journal of Molecular Sciences.

In The Last Decade

Núria de Vera

28 papers receiving 547 citations

Author Peers

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

Author Last Decade Papers Cites
Núria de Vera 326 152 111 91 75 28 563
Rita Mozzi 301 0.9× 80 0.5× 46 0.4× 101 1.1× 23 0.3× 37 549
Akiko Yamamuro 222 0.7× 223 1.5× 236 2.1× 22 0.2× 51 0.7× 25 669
Kathleen Seyb 214 0.7× 182 1.2× 59 0.5× 43 0.5× 33 0.4× 19 542
Javier de Cristóbal 212 0.7× 166 1.1× 65 0.6× 36 0.4× 49 0.7× 18 642
Bogdan Djuričić 328 1.0× 180 1.2× 40 0.4× 53 0.6× 20 0.3× 19 526
Arianna Venturini 370 1.1× 167 1.1× 36 0.3× 43 0.5× 24 0.3× 20 667
Petra Bergström 404 1.2× 89 0.6× 42 0.4× 30 0.3× 52 0.7× 19 602
D Boehme 209 0.6× 117 0.8× 28 0.3× 41 0.5× 49 0.7× 42 590
Brian C. Kramer 198 0.6× 218 1.4× 61 0.5× 43 0.5× 29 0.4× 27 664
S. Lake 310 1.0× 72 0.5× 96 0.9× 69 0.8× 16 0.2× 28 650

Countries citing papers authored by Núria de Vera

Since Specialization
Citations

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

Fields of papers citing papers by Núria de Vera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Núria de Vera. 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 Núria de Vera. The network helps show where Núria de Vera may publish in the future.

Co-authorship network of co-authors of Núria de Vera

This figure shows the co-authorship network connecting the top 25 collaborators of Núria de Vera. A scholar is included among the top collaborators of Núria de Vera 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 Núria de Vera. Núria de Vera 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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