Rubén Hervás

1.1k total citations
24 papers, 651 citations indexed

About

Rubén Hervás is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Rubén Hervás has authored 24 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Cell Biology. Recurrent topics in Rubén Hervás's work include Alzheimer's disease research and treatments (8 papers), RNA Research and Splicing (7 papers) and Prion Diseases and Protein Misfolding (6 papers). Rubén Hervás is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), RNA Research and Splicing (7 papers) and Prion Diseases and Protein Misfolding (6 papers). Rubén Hervás collaborates with scholars based in Spain, United States and Hong Kong. Rubén Hervás's co-authors include Javier Oroz, Mariano Carrión‐Vázquez, Kausik Si, Margarita Menéndez, Douglas V. Laurents, Alejandro Valbuena, Alexey G. Murzin, Wenjuan Zhang, James A. J. Fitzpatrick and Michael Rau and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Rubén Hervás

23 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rubén Hervás Spain 13 493 147 115 88 68 24 651
Javier Oroz Spain 17 639 1.3× 171 1.2× 156 1.4× 187 2.1× 50 0.7× 30 855
Sophia C. Goodchild Australia 14 528 1.1× 155 1.1× 30 0.3× 96 1.1× 66 1.0× 23 706
Albert Galera‐Prat Finland 14 366 0.7× 59 0.4× 88 0.8× 60 0.7× 31 0.5× 36 586
Ian R. Bates Canada 14 568 1.2× 53 0.4× 37 0.3× 150 1.7× 78 1.1× 15 764
Salla Ruskamo Finland 16 388 0.8× 65 0.4× 37 0.3× 233 2.6× 188 2.8× 28 660
David J. Busch United States 17 742 1.5× 82 0.6× 30 0.3× 270 3.1× 107 1.6× 22 1.1k
Nicholas G. James United States 17 393 0.8× 58 0.4× 25 0.2× 96 1.1× 100 1.5× 33 682
Michel Recouvreur France 17 846 1.7× 74 0.5× 92 0.8× 137 1.6× 211 3.1× 22 1.0k
Maxim Igaev Germany 11 403 0.8× 159 1.1× 16 0.1× 163 1.9× 95 1.4× 14 575
Daniel C. Jans Germany 16 1.1k 2.2× 109 0.7× 29 0.3× 100 1.1× 72 1.1× 23 1.3k

Countries citing papers authored by Rubén Hervás

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Hervás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Hervás

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Hervás. A scholar is included among the top collaborators of Rubén Hervás 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 Rubén Hervás. Rubén Hervás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Garcia‐Cabau, Carla, Giulio Tesei, Sara Picó, et al.. (2025). BPS2025 - Kinetic stabilization of translation-repression condensates by a neuron-specific microexon. Biophysical Journal. 124(3). 564a–564a.
2.
Garcia‐Cabau, Carla, Giulio Tesei, Sara Picó, et al.. (2024). Mis-splicing of a neuronal microexon promotes CPEB4 aggregation in ASD. Nature. 637(8045). 496–503. 16 indexed citations
3.
Hervás, Rubén, et al.. (2023). Phase separation modulates the functional amyloid assembly of human CPEB3. Progress in Neurobiology. 231. 102540–102540. 3 indexed citations
4.
Valbuena, Alejandro, David Pantoja‐Uceda, Rubén Hervás, et al.. (2023). Metamorphism in TDP-43 prion-like domain determines chaperone recognition. Nature Communications. 14(1). 466–466. 19 indexed citations
5.
Yan, Shan, et al.. (2023). Integrated regulation of tubulin tyrosination and microtubule stability by human α-tubulin isotypes. Cell Reports. 42(6). 112653–112653. 7 indexed citations
6.
Menéndez, Margarita, et al.. (2022). Expanded Conformations of Monomeric Tau Initiate Its Amyloidogenesis**. Angewandte Chemie International Edition. 62(19). e202209252–e202209252. 10 indexed citations
7.
Pantoja‐Uceda, David, et al.. (2022). Conformational dynamics in the disordered region of human CPEB3 linked to memory consolidation. BMC Biology. 20(1). 129–129. 7 indexed citations
8.
Hervás, Rubén, Albert Galera‐Prat, Mari Suzuki, et al.. (2021). Divergent CPEB prion-like domains reveal different assembly mechanisms for a generic amyloid-like fold. BMC Biology. 19(1). 43–43. 16 indexed citations
9.
Hervás, Rubén, Michael Rau, Wenjuan Zhang, et al.. (2020). Cryo-EM structure of a neuronal functional amyloid implicated in memory persistence in Drosophila. Science. 367(6483). 1230–1234. 133 indexed citations
10.
Oroz, Javier, et al.. (2019). Nanomechanics of tip-link cadherins. Scientific Reports. 9(1). 13306–13306. 8 indexed citations
11.
Hervás, Rubén, Therese M. Gerbich, Paulo César Leal, et al.. (2019). Amyloid-like Assembly Activates a Phosphatase in the Developing Drosophila Embryo. Cell. 178(6). 1403–1420.e21. 10 indexed citations
12.
Mompeán, Miguel, et al.. (2019). Molecular mechanism of the inhibition of TDP-43 amyloidogenesis by QBP1. Archives of Biochemistry and Biophysics. 675. 108113–108113. 15 indexed citations
13.
Hervás, Rubén, et al.. (2018). Efficient and simplified nanomechanical analysis of intrinsically disordered proteins. Nanoscale. 10(35). 16857–16867. 5 indexed citations
14.
Padilla, Laura, Sheila Dakhel Plaza, Jaume Adán, et al.. (2017). S100A7: from mechanism to cancer therapy. Oncogene. 36(49). 6749–6761. 38 indexed citations
15.
Hervás, Rubén, et al.. (2014). NMR spectroscopy reveals a preferred conformation with a defined hydrophobic cluster for polyglutamine binding peptide 1. Archives of Biochemistry and Biophysics. 558. 104–110. 7 indexed citations
16.
Plaza, Sheila Dakhel, Laura Padilla, Jaume Adán, et al.. (2014). S100P antibody-mediated therapy as a new promising strategy for the treatment of pancreatic cancer. Oncogenesis. 3(3). e92–e92. 51 indexed citations
17.
Hervás, Rubén, Javier Oroz, Albert Galera‐Prat, et al.. (2012). Common Features at the Start of the Neurodegeneration Cascade. PLoS Biology. 10(5). e1001335–e1001335. 52 indexed citations
18.
Oroz, Javier, Rubén Hervás, Alejandro Valbuena, & Mariano Carrión‐Vázquez. (2012). Unequivocal Single-Molecule Force Spectroscopy of Intrinsically Disordered Proteins. Methods in molecular biology. 896. 71–87. 7 indexed citations
19.
Oroz, Javier, Rubén Hervás, & Mariano Carrión‐Vázquez. (2012). Unequivocal Single-Molecule Force Spectroscopy of Proteins by AFM Using pFS Vectors. Biophysical Journal. 102(3). 682–690. 21 indexed citations
20.
Valbuena, Alejandro, Javier Oroz, Rubén Hervás, et al.. (2009). On the remarkable mechanostability of scaffoldins and the mechanical clamp motif. Proceedings of the National Academy of Sciences. 106(33). 13791–13796. 98 indexed citations

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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