Javier Quilez

3.8k total citations
20 papers, 772 citations indexed

About

Javier Quilez is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Javier Quilez has authored 20 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Javier Quilez's work include Genomics and Chromatin Dynamics (7 papers), Genomic variations and chromosomal abnormalities (5 papers) and Genomics and Phylogenetic Studies (5 papers). Javier Quilez is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Genomic variations and chromosomal abnormalities (5 papers) and Genomics and Phylogenetic Studies (5 papers). Javier Quilez collaborates with scholars based in Spain, United States and United Kingdom. Javier Quilez's co-authors include Miguel Beato, François Le Dily, Yasmina Cuartero, Enrique Vidal, Ralph Stadhouders, Thomas Graf, Marc A. Martı́-Renom, Guillaume J. Filion, Audrey Guilmatre and Andrew J. Sharp and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and The EMBO Journal.

In The Last Decade

Javier Quilez

19 papers receiving 763 citations

Peers

Javier Quilez

GENET

PHEOH

Karen L. Artiles United States

Brett D. Keiper United States

Miklós Erdélyi Hungary

Josh Tycko United States

Qunshan Huang China

Christine Strand United States

Duangporn Jamsai Australia

Monique A. Lorson United States

Gregory S. Downs Canada

Angelika Feldmann United Kingdom

Karen L. Artiles United States

Javier Quilez

699 ×1.2

132 ×0.6

GENET

86 ×0.7

46 ×0.5

PHEOH

46 ×0.7

Citations per year, relative to Javier Quilez Javier Quilez (= 1×) peers Karen L. Artiles

Countries citing papers authored by Javier Quilez

Since Specialization

Citations

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

Fields of papers citing papers by Javier Quilez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Quilez

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

All Works

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20 of 20 papers shown

Sapudom, Jiranuwat, Yamanappa Hunashal, Marc Arnoux, et al.. (2025). Hydrogel‐Based Tumor Tissue Microarchitecture Reshapes Dendritic Cell Metabolic Profile and Functions. Advanced Healthcare Materials. 14(12). e2500681–e2500681. 2 indexed citations

Hamed, Ahmed R., et al.. (2024). Whole genome sequencing approaches for taxonomic profiling and evaluation of wastewater quality. Journal of Microbiological Methods. 227. 107051–107051.

Nacht, A. Silvina, Roberto Ferrari, Roser Zaurín, et al.. (2019). C/EBPα mediates the growth inhibitory effect of progestins on breast cancer cells. The EMBO Journal. 38(18). e101426–e101426. 14 indexed citations

Sharma, Priyanka, Antonios Lioutas, Narcís Fernández‐Fuentes, et al.. (2018). Arginine Citrullination at the C-Terminal Domain Controls RNA Polymerase II Transcription. Molecular Cell. 73(1). 84–96.e7. 49 indexed citations

Amat, Ramon, René Böttcher, François Le Dily, et al.. (2018). Rapid reversible changes in compartments and local chromatin organization revealed by hyperosmotic shock. Genome Research. 29(1). 18–28. 34 indexed citations

Stadhouders, Ralph, Enrique Vidal, François Serra, et al.. (2018). Transcription factors orchestrate dynamic interplay between genome topology and gene regulation during cell reprogramming. Nature Genetics. 50(2). 238–249. 236 indexed citations

Dily, François Le, Enrique Vidal, Yasmina Cuartero, et al.. (2018). Hormone-control regions mediate steroid receptor–dependent genome organization. Genome Research. 29(1). 29–39. 46 indexed citations

Vidal, Enrique, François Le Dily, Javier Quilez, et al.. (2018). OneD: increasing reproducibility of Hi-C samples with abnormal karyotypes. Nucleic Acids Research. 46(8). e49–e49. 34 indexed citations

Verde, Gaetano, Roni H. G. Wright, Javier Quilez, et al.. (2018). Unliganded Progesterone Receptor Governs Estrogen Receptor Gene Expression by Regulating DNA Methylation in Breast Cancer Cells. Cancers. 10(10). 371–371. 16 indexed citations

10.

Serres‐Armero, Aitor, Inna Povolotskaya, Javier Quilez, et al.. (2017). Similar genomic proportions of copy number variation within gray wolves and modern dog breeds inferred from whole genome sequencing. BMC Genomics. 18(1). 977–977. 20 indexed citations

11.

Quilez, Javier, Enrique Vidal, François Le Dily, et al.. (2017). Parallel sequencing lives, or what makes large sequencing projects successful. GigaScience. 6(11). 1–6. 4 indexed citations

12.

Nacht, A. Silvina, Andy Pohl, Roser Zaurín, et al.. (2016). Hormone‐induced repression of genes requires BRG 1‐mediated H1.2 deposition at target promoters. The EMBO Journal. 35(16). 1822–1843. 25 indexed citations

13.

Quilez, Javier, Audrey Guilmatre, Paras Garg, et al.. (2016). Polymorphic tandem repeats within gene promoters act as modifiers of gene expression and DNA methylation in humans. Nucleic Acids Research. 44(8). 3750–3762. 100 indexed citations

14.

Brahmachary, Manisha, Audrey Guilmatre, Javier Quilez, et al.. (2014). Digital Genotyping of Macrosatellites and Multicopy Genes Reveals Novel Biological Functions Associated with Copy Number Variation of Large Tandem Repeats. PLoS Genetics. 10(6). e1004418–e1004418. 38 indexed citations

15.

Berglund, Jonas, Javier Quilez, Peter F. Arndt, & Matthew T. Webster. (2014). Germline Methylation Patterns Determine the Distribution of Recombination Events in the Dog Genome. Genome Biology and Evolution. 7(2). 522–530. 17 indexed citations

16.

Ramírez, Óscar, Íñigo Olalde, Jonas Berglund, et al.. (2014). Analysis of structural diversity in wolf-like canids reveals post-domestication variants. BMC Genomics. 15(1). 465–465. 13 indexed citations

17.

Quilez, Javier, Verónica S. Martínez, John Woolliams, et al.. (2012). Genetic Control of Canine Leishmaniasis: Genome-Wide Association Study and Genomic Selection Analysis. PLoS ONE. 7(4). e35349–e35349. 27 indexed citations

18.

Quilez, Javier, A. D. Short, Verónica S. Martínez, et al.. (2011). A selective sweep of >8 Mb on chromosome 26 in the Boxer genome. BMC Genomics. 12(1). 339–339. 32 indexed citations

19.

Martínez, Verónica S., Javier Quilez, Armand Sánchez, et al.. (2011). Canine leishmaniasis: the key points for qPCR result interpretation. Parasites & Vectors. 4(1). 57–57. 61 indexed citations

20.

Quilez, Javier, et al.. (1994). Effect of vitamin C on lipoproteins in healthy adults.. PubMed. 145(1). 13–9. 4 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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