Mar Muñoz

474 total citations
10 papers, 350 citations indexed

About

Mar Muñoz is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Mar Muñoz has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Pharmacology. Recurrent topics in Mar Muñoz's work include Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (6 papers) and Histone Deacetylase Inhibitors Research (3 papers). Mar Muñoz is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (6 papers) and Histone Deacetylase Inhibitors Research (3 papers). Mar Muñoz collaborates with scholars based in Spain, United States and Australia. Mar Muñoz's co-authors include Miguel A. Peinado, Laura Vives, Jairo Rodríguez, Mark Groudine, Mireia Jordà, Cristina Morales, Elisenda Vendrell, Vı́ctor Moreno, Mònica Suelves and Susan J. Clark and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Mar Muñoz

10 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mar Muñoz Spain 9 289 65 57 43 28 10 350
Khalid Hilmi Canada 6 323 1.1× 76 1.2× 55 1.0× 64 1.5× 12 0.4× 6 400
Farisa Syeda Canada 7 236 0.8× 39 0.6× 37 0.6× 36 0.8× 40 1.4× 9 377
Haiyan Zhu China 9 243 0.8× 83 1.3× 66 1.2× 47 1.1× 28 1.0× 26 392
Tae Hyun Kim South Korea 10 156 0.5× 36 0.6× 92 1.6× 90 2.1× 29 1.0× 14 294
Jun Ruan China 13 258 0.9× 40 0.6× 85 1.5× 70 1.6× 19 0.7× 18 388
Chunyan Luo China 11 149 0.5× 39 0.6× 42 0.7× 32 0.7× 11 0.4× 17 271
Antonietta Pia Gallo Italy 10 219 0.8× 47 0.7× 57 1.0× 74 1.7× 26 0.9× 12 343
Vineet K. Dhiman United States 7 193 0.7× 55 0.8× 52 0.9× 33 0.8× 6 0.2× 8 274
Khalid Al-Hussein Saudi Arabia 10 141 0.5× 27 0.4× 37 0.6× 66 1.5× 46 1.6× 17 336

Countries citing papers authored by Mar Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Mar Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mar Muñoz

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

All Works

10 of 10 papers shown
1.
Hurtado, Erica, Yaiza Núñez‐Álvarez, Mar Muñoz, et al.. (2020). HDAC11 is a novel regulator of fatty acid oxidative metabolism in skeletal muscle. FEBS Journal. 288(3). 902–919. 27 indexed citations
2.
Núñez‐Álvarez, Yaiza, Erica Hurtado, Mar Muñoz, et al.. (2020). Loss of HDAC11 accelerates skeletal muscle regeneration in mice. FEBS Journal. 288(4). 1201–1223. 21 indexed citations
3.
Carrió, Elvira, Alessandro Magli, Mar Muñoz, et al.. (2016). Muscle cell identity requires Pax7-mediated lineage-specific DNA demethylation. BMC Biology. 14(1). 30–30. 22 indexed citations
4.
Cebola, Inês, Joaquín Custodio, Mar Muñoz, et al.. (2015). Epigenetics override pro-inflammatory PTGS transcriptomic signature towards selective hyperactivation of PGE2 in colorectal cancer. Clinical Epigenetics. 7(1). 74–74. 38 indexed citations
5.
Díez-Villanueva, Anna, Anna Merlos‐Suárez, Mar Muñoz, et al.. (2015). Overlapping DNA Methylation Dynamics in Mouse Intestinal Cell Differentiation and Early Stages of Malignant Progression. PLoS ONE. 10(5). e0123263–e0123263. 13 indexed citations
6.
Muñoz, Mar, Daniele V. F. Tauriello, Anna Merlos‐Suárez, et al.. (2013). Long range epigenetic silencing is a trans‐species mechanism that results in cancer specific deregulation by overriding the chromatin domains of normal cells. Molecular Oncology. 7(6). 1129–1141. 11 indexed citations
7.
Mayor, Regina, Mar Muñoz, Marcel W. Coolen, et al.. (2011). Dynamics of bivalent chromatin domains upon drug induced reactivation and resilencing in cancer cells. Epigenetics. 6(9). 1138–1148. 8 indexed citations
8.
Rodríguez, Jairo, et al.. (2008). Bivalent domains enforce transcriptional memory of DNA methylated genes in cancer cells. Proceedings of the National Academy of Sciences. 105(50). 19809–19814. 85 indexed citations
9.
Rodríguez, Jairo, Laura Vives, Mireia Jordà, et al.. (2007). Genome-wide tracking of unmethylated DNA Alu repeats in normal and cancer cells. Nucleic Acids Research. 36(3). 770–784. 83 indexed citations
10.
Frigola, Jordi, Mar Muñoz, Susan J. Clark, et al.. (2005). Hypermethylation of the prostacyclin synthase (PTGIS) promoter is a frequent event in colorectal cancer and associated with aneuploidy. Oncogene. 24(49). 7320–7326. 42 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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