Clara Penas

1.9k total citations
34 papers, 1.3k citations indexed

About

Clara Penas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Clara Penas has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 9 papers in Cell Biology. Recurrent topics in Clara Penas's work include Nerve injury and regeneration (11 papers), Protein Degradation and Inhibitors (10 papers) and Histone Deacetylase Inhibitors Research (7 papers). Clara Penas is often cited by papers focused on Nerve injury and regeneration (11 papers), Protein Degradation and Inhibitors (10 papers) and Histone Deacetylase Inhibitors Research (7 papers). Clara Penas collaborates with scholars based in Spain, United States and Australia. Clara Penas's co-authors include Xavier Navarro, Caty Casas, Joaquím Forés, Nagi G. Ayad, Claes Wahlestedt, Ricardo J. Komotar, Enrique Verdú, Jann N. Sarkaria, Claude‐Henry Volmar and Amadé Bregy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Clara Penas

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara Penas Spain 19 759 272 248 243 190 34 1.3k
Francesco Galimi United States 18 965 1.3× 323 1.2× 107 0.4× 205 0.8× 198 1.0× 26 1.8k
Nadine Henke Germany 15 656 0.9× 251 0.9× 114 0.5× 132 0.5× 76 0.4× 15 1.2k
Sara Wojciechowski Finland 21 547 0.7× 192 0.7× 112 0.5× 151 0.6× 118 0.6× 31 1.7k
Friederike Schröter Germany 11 785 1.0× 121 0.4× 107 0.4× 177 0.7× 95 0.5× 16 1.3k
Edward T. W. Bampton United Kingdom 17 554 0.7× 269 1.0× 214 0.9× 495 2.0× 59 0.3× 18 1.3k
Yueting Zhang China 16 581 0.8× 169 0.6× 61 0.2× 116 0.5× 185 1.0× 33 1.6k
Chaim Jalas United States 23 724 1.0× 177 0.7× 231 0.9× 72 0.3× 67 0.4× 60 1.7k
Taisuke Kondo Japan 18 640 0.8× 98 0.4× 176 0.7× 102 0.4× 112 0.6× 34 1.9k
Makoto Hamanoue Japan 19 543 0.7× 472 1.7× 116 0.5× 59 0.2× 247 1.3× 34 1.4k
Sandeep K. Singh United States 15 1.3k 1.7× 202 0.7× 396 1.6× 96 0.4× 116 0.6× 34 1.7k

Countries citing papers authored by Clara Penas

Since Specialization
Citations

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

Fields of papers citing papers by Clara Penas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Penas

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Penas. A scholar is included among the top collaborators of Clara Penas 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 Clara Penas. Clara Penas 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.
2.
Navarro, Xavier, et al.. (2025). Histone Acetylation in Central and Peripheral Nervous System Injuries and Regeneration: Epigenetic Dynamics and Therapeutic Perspectives. International Journal of Molecular Sciences. 26(13). 6277–6277.
3.
Lope‐Piedrafita, Silvia, Belén Pérez, Ana M. Briones, et al.. (2024). Transient cerebral ischaemia alters mesenteric arteries in hypertensive rats: Limited reversal despite suberoylanilide hydroxamic acid cerebroprotection. Life Sciences. 359. 123247–123247. 1 indexed citations
4.
5.
Perálvarez‐Marín, Alex, Montse Solé, Javier Serrano, et al.. (2023). Evidence for the involvement of TRPV2 channels in the modulation of vascular tone in the mouse aorta. Life Sciences. 336. 122286–122286. 4 indexed citations
6.
Navarro, Xavier, et al.. (2022). BET protein inhibition in macrophages enhances dorsal root ganglion neurite outgrowth in female mice. Journal of Neuroscience Research. 100(6). 1331–1346. 3 indexed citations
7.
Penas, Clara, et al.. (2022). Aberrant perineuronal nets alter spinal circuits, impair motor function, and increase plasticity. Experimental Neurology. 358. 114220–114220. 3 indexed citations
8.
Giménez‐Llort, Lydia, et al.. (2020). Voluntary wheel running preserves lumbar perineuronal nets, enhances motor functions and prevents hyperreflexia after spinal cord injury. Experimental Neurology. 336. 113533–113533. 29 indexed citations
9.
Penas, Clara, Vasileios Stathias, Jun Long, et al.. (2019). Time series modeling of cell cycle exit identifies Brd4 dependent regulation of cerebellar neurogenesis. Nature Communications. 10(1). 3028–3028. 22 indexed citations
10.
Amo‐Aparicio, Jesús, et al.. (2019). BET protein inhibition regulates cytokine production and promotes neuroprotection after spinal cord injury. Journal of Neuroinflammation. 16(1). 124–124. 48 indexed citations
11.
Penas, Clara & Xavier Navarro. (2018). Epigenetic Modifications Associated to Neuroinflammation and Neuropathic Pain After Neural Trauma. Frontiers in Cellular Neuroscience. 12. 158–158. 107 indexed citations
12.
Pastori, Chiara, Clara Penas, Claude‐Henry Volmar, et al.. (2014). BET bromodomain proteins are required for glioblastoma cell proliferation. Epigenetics. 9(4). 611–620. 113 indexed citations
13.
Penas, Clara, Vimal Ramachandran, Scott Simanski, et al.. (2014). Casein Kinase 1δ-dependent Wee1 Protein Degradation. Journal of Biological Chemistry. 289(27). 18893–18903. 19 indexed citations
14.
Clarke, Jennifer, Clara Penas, Chiara Pastori, et al.. (2013). Epigenetic pathways and glioblastoma treatment. Epigenetics. 8(8). 785–795. 56 indexed citations
15.
Badiola, Nahuai, Clara Penas, Alfredo J. Miñano‐Molina, et al.. (2011). Induction of ER stress in response to oxygen-glucose deprivation of cortical cultures involves the activation of the PERK and IRE-1 pathways and of caspase-12. Cell Death and Disease. 2(4). e149–e149. 135 indexed citations
16.
Calvo, Ana Cristina, María Moreno‐Igoa, Renzo Mancuso, et al.. (2011). Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule. Orphanet Journal of Rare Diseases. 6(1). 10–10. 24 indexed citations
17.
Penas, Clara, et al.. (2011). Valproate reduces CHOP levels and preserves oligodendrocytes and axons after spinal cord injury. Neuroscience. 178. 33–44. 67 indexed citations
18.
Penas, Clara, et al.. (2009). Cytoskeletal and Activity-Related Changes in Spinal Motoneurons after Root Avulsion. Journal of Neurotrauma. 26(5). 763–779. 39 indexed citations
19.
Penas, Clara, et al.. (2007). Spinal cord injury induces endoplasmic reticulum stress with different cell‐type dependent response. Journal of Neurochemistry. 102(4). 1242–1255. 142 indexed citations
20.
Palomo, Concepción, Blanca García‐Barreno, Clara Penas, & Jose ́A. Melero. (1991). The G protein of human respiratory syncytial virus: significance of carbohydrate side-chains and the C-terminal end to its antigenicity. Journal of General Virology. 72(3). 669–675. 59 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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