Pilar Rivero-Ríos

29 total papers · 695 total citations
17 papers, 473 citations indexed

About

Pilar Rivero-Ríos is a scholar working on Cell Biology, Neurology and Molecular Biology. According to data from OpenAlex, Pilar Rivero-Ríos has authored 17 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 10 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Pilar Rivero-Ríos's work include Cellular transport and secretion (13 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Calcium signaling and nucleotide metabolism (6 papers). Pilar Rivero-Ríos is often cited by papers focused on Cellular transport and secretion (13 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Calcium signaling and nucleotide metabolism (6 papers). Pilar Rivero-Ríos collaborates with scholars based in Spain, United States and Germany. Pilar Rivero-Ríos's co-authors include Sabine Hilfiker, Elena Fdez, Jesús Madero‐Pérez, Belén Fernández, Lois S. Weisman, Patricia Gómez‐Suaga, Marian Blanca Ramírez, Ana Aiastui, Isidró Ferrer and Adolfo López de Munaín and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

Pilar Rivero-Ríos

17 papers receiving 471 citations

Author Peers

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

Author Last Decade Papers Cites
Pilar Rivero-Ríos 244 219 166 137 107 17 473
Marian Blanca Ramírez 290 1.2× 191 0.9× 185 1.1× 129 0.9× 80 0.7× 11 446
Roeland Vanhauwaert 172 0.7× 136 0.6× 200 1.2× 108 0.8× 172 1.6× 11 460
Dorien A. Roosen 244 1.0× 111 0.5× 171 1.0× 151 1.1× 81 0.8× 10 430
Sandra‐Fausia Soukup 175 0.7× 207 0.9× 164 1.0× 135 1.0× 246 2.3× 13 524
Jordan Follett 245 1.0× 208 0.9× 201 1.2× 169 1.2× 88 0.8× 18 498
Iva Stojkovska 295 1.2× 130 0.6× 123 0.7× 220 1.6× 53 0.5× 9 493
Eugene Jennifer Jin 70 0.3× 284 1.3× 238 1.4× 84 0.6× 91 0.9× 11 477
Mylene Huebecker 192 0.8× 140 0.6× 208 1.3× 290 2.1× 60 0.6× 13 496
Sybille Dihanich 284 1.2× 174 0.8× 190 1.1× 278 2.0× 140 1.3× 12 526
Véronik Lachance 67 0.3× 137 0.6× 260 1.6× 83 0.6× 254 2.4× 9 481

Countries citing papers authored by Pilar Rivero-Ríos

Since Specialization
Citations

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

Fields of papers citing papers by Pilar Rivero-Ríos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pilar Rivero-Ríos. 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 Pilar Rivero-Ríos. The network helps show where Pilar Rivero-Ríos may publish in the future.

Co-authorship network of co-authors of Pilar Rivero-Ríos

This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Rivero-Ríos. A scholar is included among the top collaborators of Pilar Rivero-Ríos 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 Pilar Rivero-Ríos. Pilar Rivero-Ríos 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