Luis M. Valor

2.3k total citations
53 papers, 1.6k citations indexed

About

Luis M. Valor is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Luis M. Valor has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 11 papers in Genetics. Recurrent topics in Luis M. Valor's work include Nicotinic Acetylcholine Receptors Study (14 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Mitochondrial Function and Pathology (10 papers). Luis M. Valor is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (14 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Mitochondrial Function and Pathology (10 papers). Luis M. Valor collaborates with scholars based in Spain, United Kingdom and United States. Luis M. Valor's co-authors include Ángel Barco, José P. López‐Atalaya, Manuel Criado, José Viosca, Román Olivares, Eva Benito, José Mulet, F. Sala, Salvador Sala and Seth G. N. Grant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Luis M. Valor

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis M. Valor Spain 26 1.2k 576 281 165 136 53 1.6k
Ping Zhu United States 20 942 0.8× 751 1.3× 248 0.9× 248 1.5× 239 1.8× 46 1.9k
Luiz Miguel Camargo United States 18 1.4k 1.2× 516 0.9× 393 1.4× 111 0.7× 240 1.8× 22 2.1k
Wen‐Sung Lai Taiwan 21 1.0k 0.9× 573 1.0× 454 1.6× 304 1.8× 62 0.5× 49 1.8k
Maria‐Clemencia Hernandez Switzerland 21 1.5k 1.2× 678 1.2× 213 0.8× 219 1.3× 200 1.5× 34 2.0k
Jocelyne Caboche France 11 1.1k 0.9× 976 1.7× 120 0.4× 143 0.9× 72 0.5× 12 1.7k
Hiroko Sugiura Japan 22 1.1k 0.9× 713 1.2× 206 0.7× 94 0.6× 275 2.0× 38 2.0k
Miguel Verbitsky United States 20 930 0.8× 450 0.8× 227 0.8× 142 0.9× 94 0.7× 26 1.6k
Clarissa L. Waites United States 26 1.3k 1.1× 1.3k 2.3× 166 0.6× 172 1.0× 80 0.6× 40 2.4k
Joo Min Park South Korea 16 913 0.8× 860 1.5× 297 1.1× 328 2.0× 72 0.5× 25 1.6k
Hai Yan United States 29 1.1k 0.9× 774 1.3× 334 1.2× 174 1.1× 83 0.6× 50 2.1k

Countries citing papers authored by Luis M. Valor

Since Specialization
Citations

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

Fields of papers citing papers by Luis M. Valor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis M. Valor. 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 Luis M. Valor. The network helps show where Luis M. Valor may publish in the future.

Co-authorship network of co-authors of Luis M. Valor

This figure shows the co-authorship network connecting the top 25 collaborators of Luis M. Valor. A scholar is included among the top collaborators of Luis M. Valor 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 Luis M. Valor. Luis M. Valor 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.
García‐Heredia, Anabel, et al.. (2025). Transcriptomics and epigenomics datasets of primary brain cancers in formalin-fixed paraffin embedded format. Scientific Data. 12(1). 273–273. 4 indexed citations
2.
García‐Heredia, Anabel, et al.. (2025). Tumour immune infiltration is independent of peripheral circulation of white blood cells in glioblastoma. Scientific Reports. 15(1). 31344–31344.
3.
Geribaldi‐Doldán, Noelia, Samuel Domínguez‐García, Félix A. Ruiz, et al.. (2021). Targeting Protein Kinase C in Glioblastoma Treatment. Biomedicines. 9(4). 381–381. 15 indexed citations
4.
Valor, Luis M., et al.. (2021). Molecular Pathogenesis and Peripheral Monitoring of Adult Fragile X-Associated Syndromes. International Journal of Molecular Sciences. 22(16). 8368–8368. 7 indexed citations
5.
Alenda, Cristina, Estefanía Rojas, & Luis M. Valor. (2021). FFPE samples from cavitational ultrasonic surgical aspirates are suitable for RNA profiling of gliomas. PLoS ONE. 16(7). e0255168–e0255168. 4 indexed citations
6.
Hierro‐Bujalance, Carmen, et al.. (2019). Transcriptional correlates of the pathological phenotype in a Huntington’s disease mouse model. Scientific Reports. 9(1). 17 indexed citations
7.
Blanco, Beatriz del, Romana Tomasoni, María T. Lopez-Cascales, et al.. (2019). CBP and SRF co-regulate dendritic growth and synaptic maturation. Cell Death and Differentiation. 26(11). 2208–2222. 28 indexed citations
8.
Olivares, Román, et al.. (2018). Early alteration of epigenetic-related transcription in Huntington’s disease mouse models. Scientific Reports. 8(1). 9925–9925. 36 indexed citations
9.
Valor, Luis M., et al.. (2017). The transcriptional profiling of human in vivo-generated plasma cells identifies selective imbalances in monoclonal gammopathies. PLoS ONE. 12(8). e0183264–e0183264. 10 indexed citations
10.
López‐Atalaya, José P., Luis M. Valor, & Ángel Barco. (2014). Epigenetic Factors in Intellectual Disability. Progress in molecular biology and translational science. 128. 139–176. 29 indexed citations
11.
Valor, Luis M.. (2014). Transcription, Epigenetics and Ameliorative Strategies in Huntington’s Disease: a Genome-Wide Perspective. Molecular Neurobiology. 51(1). 406–423. 74 indexed citations
12.
Valor, Luis M., et al.. (2013). What's wrong with epigenetics in Huntington's disease?. Neuropharmacology. 80. 103–114. 36 indexed citations
13.
Benito, Eva, et al.. (2011). cAMP Response Element-Binding Protein Is a Primary Hub of Activity-Driven Neuronal Gene Expression. Journal of Neuroscience. 31(50). 18237–18250. 94 indexed citations
14.
15.
López‐Atalaya, José P., Alessandro Ciccarelli, José Viosca, et al.. (2011). CBP is required for environmental enrichment‐induced neurogenesis and cognitive enhancement. The EMBO Journal. 30(20). 4287–4298. 85 indexed citations
16.
Valor, Luis M., Dragana Jančić, Rafael Luján, & Ángel Barco. (2010). Ultrastructural and transcriptional profiling of neuropathological misregulation of CREB function. Cell Death and Differentiation. 17(10). 1636–1644. 27 indexed citations
17.
Valor, Luis M. & Seth G. N. Grant. (2007). Clustered Gene Expression Changes Flank Targeted Gene Loci in Knockout Mice. PLoS ONE. 2(12). e1303–e1303. 16 indexed citations
18.
Sala, F., José Mulet, Seok‐Yong Choi, et al.. (2002). Effects of Ginsenoside Rg2 on Human Neuronal Nicotinic Acetylcholine Receptors. Journal of Pharmacology and Experimental Therapeutics. 301(3). 1052–1059. 70 indexed citations
19.
Campos‐Caro, Antonio, et al.. (2001). Activity of the Nicotinic Acetylcholine Receptor α 5 and α 7 Subunit Promoters in Muscle Cells. DNA and Cell Biology. 20(10). 657–666. 16 indexed citations
20.
Campos‐Caro, Antonio, et al.. (1999). Multiple Functional Sp1 Domains in the Minimal Promoter Region of the Neuronal Nicotinic Receptor α5 Subunit Gene. Journal of Biological Chemistry. 274(8). 4693–4701. 32 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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