Hugo Cabedo

907 total citations
24 papers, 700 citations indexed

About

Hugo Cabedo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Hugo Cabedo has authored 24 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Hugo Cabedo's work include Nerve injury and regeneration (8 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuroblastoma Research and Treatments (3 papers). Hugo Cabedo is often cited by papers focused on Nerve injury and regeneration (8 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuroblastoma Research and Treatments (3 papers). Hugo Cabedo collaborates with scholars based in Spain, United Kingdom and United States. Hugo Cabedo's co-authors include Félix Viana, Cruz Morenilla‐Palao, Jose A. Gomez‐Sanchez, Marı́a Pertusa, Antonio Ferrer‐Montiel, Víctor Meseguer, Vicente Felipo, Carlos Belmonte, Elvira de la Peña and Annika Mälkiä and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Hugo Cabedo

23 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugo Cabedo Spain 13 337 303 139 87 77 24 700
Wanlu Du United States 12 408 1.2× 228 0.8× 320 2.3× 28 0.3× 106 1.4× 14 939
Mercedes Tomé Spain 15 293 0.9× 294 1.0× 48 0.3× 176 2.0× 25 0.3× 24 727
Angélica Keller France 17 514 1.5× 155 0.5× 161 1.2× 31 0.4× 123 1.6× 20 884
William Hill United Kingdom 12 250 0.7× 228 0.8× 137 1.0× 27 0.3× 170 2.2× 15 831
Tomohiro Okuda Japan 16 342 1.0× 183 0.6× 34 0.2× 31 0.4× 43 0.6× 27 616
Tomohiro Noguchi Japan 14 614 1.8× 93 0.3× 65 0.5× 20 0.2× 42 0.5× 56 949
Clare A. Jones United Kingdom 13 264 0.8× 77 0.3× 40 0.3× 104 1.2× 86 1.1× 15 776
Hirohisa Nakata Japan 18 367 1.1× 312 1.0× 41 0.3× 18 0.2× 116 1.5× 30 1.0k
Markus J. Seewald Germany 16 563 1.7× 180 0.6× 25 0.2× 21 0.2× 97 1.3× 32 821
Andrea Loreto United Kingdom 16 373 1.1× 172 0.6× 16 0.1× 44 0.5× 108 1.4× 36 902

Countries citing papers authored by Hugo Cabedo

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Cabedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Cabedo

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Cabedo. A scholar is included among the top collaborators of Hugo Cabedo 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 Hugo Cabedo. Hugo Cabedo 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.
Fuente, Alerie Guzman de la, et al.. (2024). Schwann cell JUN expression worsens motor performance in an amyotrophic lateral sclerosis mouse model. Glia. 72(12). 2178–2189.
2.
Fazal, Shaline V., Mark Turmaine, Chiung-Ya Chen, et al.. (2023). SARM1 detection in myelinating glia: sarm1/Sarm1 is dispensable for PNS and CNS myelination in zebrafish and mice. Frontiers in Cellular Neuroscience. 17. 1158388–1158388. 6 indexed citations
3.
Gomez‐Sanchez, Jose A., et al.. (2022). Fasciclin 2 engages EGFR in an auto-stimulatory loop to promote imaginal disc cell proliferation in Drosophila. PLoS Genetics. 18(6). e1010224–e1010224. 2 indexed citations
4.
Wagstaff, Laura, Jose A. Gomez‐Sanchez, Shaline V. Fazal, et al.. (2021). Failures of nerve regeneration caused by aging or chronic denervation are rescued by restoring Schwann cell c-Jun. eLife. 10. 84 indexed citations
5.
6.
Gomez‐Sanchez, Jose A., Cruz Morenilla‐Palao, Gloria Peiró, et al.. (2013). Epigenetic induction of the Ink4a/Arf locus prevents Schwann cell overproliferation during nerve regeneration and after tumorigenic challenge. Brain. 136(7). 2262–2278. 45 indexed citations
7.
Gomez‐Sanchez, Jose A., et al.. (2012). L1CAM Binds ErbB Receptors through Ig-Like Domains Coupling Cell Adhesion and Neuregulin Signalling. PLoS ONE. 7(7). e40674–e40674. 27 indexed citations
8.
Gomez‐Sanchez, Jose A., Mikel López de Armentia, Rafael Luján, et al.. (2009). Sustained Axon–Glial Signaling Induces Schwann Cell Hyperproliferation, Remak Bundle Myelination, and Tumorigenesis. Journal of Neuroscience. 29(36). 11304–11315. 30 indexed citations
9.
Morenilla‐Palao, Cruz, Marı́a Pertusa, Víctor Meseguer, Hugo Cabedo, & Félix Viana. (2009). Lipid Raft Segregation Modulates TRPM8 Channel Activity. Journal of Biological Chemistry. 284(14). 9215–9224. 105 indexed citations
10.
Pertusa, Marı́a, et al.. (2007). Transcriptional Control of Cholesterol Biosynthesis in Schwann Cells by Axonal Neuregulin 1. Journal of Biological Chemistry. 282(39). 28768–28778. 32 indexed citations
11.
Peña, Elvira de la, Annika Mälkiä, Hugo Cabedo, Carlos Belmonte, & Félix Viana. (2005). The contribution of TRPM8 channels to cold sensing in mammalian neurones. The Journal of Physiology. 567(2). 415–426. 59 indexed citations
12.
Cabedo, Hugo, et al.. (2004). Oligomerization of the Sensory and Motor Neuron-derived Factor Prevents Protein O-Glycosylation. Journal of Biological Chemistry. 279(32). 33623–33629. 11 indexed citations
13.
Cabedo, Hugo, Carolina Luna, Asia Fernández‐Carvajal, Juana Gallar, & Antonio Ferrer‐Montiel. (2002). Molecular Determinants of the Sensory and Motor Neuron-derived Factor Insertion into Plasma Membrane. Journal of Biological Chemistry. 277(22). 19905–19912. 25 indexed citations
14.
15.
Cabedo, Hugo, María‐Dolores Miñana, Eugenio Grau, Vicente Felipo, & Santiago Grisolı́a. (1996). Protein kinase C isoforms and cell proliferation in neuroblastoma cells. Molecular Brain Research. 37(1-2). 125–133. 7 indexed citations
16.
Cabedo, Hugo, Vicente Felipo, María‐Dolores Miñana, & Santiago Grisolı́a. (1996). H7, an inhibitor of protein kinase C, prevents serum-induced phosphorylation of Raf and MAP kinase in neuroblastoma cells. Neuroscience Letters. 214(1). 13–16. 8 indexed citations
17.
18.
Felipo, Vicente, et al.. (1994). L-Carnitine increases the affinity of glutamate for quisqualate receptors and prevents glutamate neurotoxicity. Neurochemical Research. 19(3). 373–377. 42 indexed citations
19.
Felipo, Vicente, et al.. (1994). H7, an inhibitor of protein kinase C, inhibits tumour cell division in mice bearing ascitic Ehrlich's carcinoma. European Journal of Cancer. 30(4). 525–527. 4 indexed citations
20.
Sáez, Guillermo T., et al.. (1991). Effect of metal ion catalyzed oxidation of rifamycin SV on cell viability and metabolic performance of isolated rat hepatocytes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1092(3). 326–335. 8 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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