Laia Richart

756 total citations
12 papers, 262 citations indexed

About

Laia Richart is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Laia Richart has authored 12 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Physiology. Recurrent topics in Laia Richart's work include Genomics and Chromatin Dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). Laia Richart is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). Laia Richart collaborates with scholars based in Spain, France and United States. Laia Richart's co-authors include Francisco X. Real, Raphaël Margueron, Víctor J. Sánchez‐Arévalo Lobo, Enrique Carrillo de Santa Pau, Juan C. Cigudosa, Ana Rio‐Machín, François‐Clément Bidard, Michel Wassef, Isidoro Cobo and Rémy Castellano and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Laia Richart

12 papers receiving 260 citations

Peers

Laia Richart
Andreana Holowatyj United States
Yun‐Cheol Chae South Korea
Freek Manders Netherlands
Laura Hinze Germany
Laura Godfrey United States
Y. Ye China
Andreana Holowatyj United States
Laia Richart
Citations per year, relative to Laia Richart Laia Richart (= 1×) peers Andreana Holowatyj

Countries citing papers authored by Laia Richart

Since Specialization
Citations

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

Fields of papers citing papers by Laia Richart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laia Richart

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

All Works

12 of 12 papers shown
1.
Lynch, Cian J., Laia Richart, & Manuel Serrano. (2024). A pattern emerges in chromatin aging: AP-1 steals the show. Cell Metabolism. 36(8). 1639–1641. 2 indexed citations
2.
Richart, Laia, Marta Kovatcheva, Camille Stephan‐Otto Attolini, et al.. (2024). H4K20me3-Mediated Repression of Inflammatory Genes Is a Characteristic and Targetable Vulnerability of Persister Cancer Cells. Cancer Research. 85(1). 32–51. 6 indexed citations
3.
Richart, Laia, Ambre Petitalot, Megan Burton, et al.. (2024). EZH2 mutations in follicular lymphoma distort H3K27me3 profiles and alter transcriptional responses to PRC2 inhibition. Nature Communications. 15(1). 3452–3452. 11 indexed citations
4.
Richart, Laia, Michel Wassef, Aurélien Dauphin, et al.. (2022). XIST loss impairs mammary stem cell differentiation and increases tumorigenicity through Mediator hyperactivation. Cell. 185(12). 2164–2183.e25. 39 indexed citations
5.
Richart, Laia, Eleonora Lapi, Véra Pancaldi, et al.. (2021). STAG2 loss-of-function affects short-range genomic contacts and modulates the basal-luminal transcriptional program of bladder cancer cells. Nucleic Acids Research. 49(19). 11005–11021. 21 indexed citations
6.
Richart, Laia, François‐Clément Bidard, & Raphaël Margueron. (2021). Enhancer rewiring in tumors: an opportunity for therapeutic intervention. Oncogene. 40(20). 3475–3491. 9 indexed citations
7.
Richart, Laia, Michel Wassef, Julien Wicinski, et al.. (2021). Loss of <i>XIST</i> Impairs Human Mammary Stem Cell Differentiation and Increases Tumorigenicity Through Enhancer and Mediator Complex Hyperactivation. SSRN Electronic Journal. 2 indexed citations
8.
Richart, Laia, Irene Felipe‐Abrio, Pilar Delgado, et al.. (2020). Bptf determines oncogenic addiction in aggressive B-cell lymphomas. Oncogene. 39(25). 4884–4895. 5 indexed citations
9.
Richart, Laia & Raphaël Margueron. (2020). Drugging histone methyltransferases in cancer. Current Opinion in Chemical Biology. 56. 51–62. 35 indexed citations
10.
Lobo, Víctor J. Sánchez‐Arévalo, Luis C. Fernández, Enrique Carrillo de Santa Pau, et al.. (2017). c-Myc downregulation is required for preacinar to acinar maturation and pancreatic homeostasis. Gut. 67(4). 707–718. 20 indexed citations
11.
Richart, Laia, Enrique Carrillo de Santa Pau, Ana Rio‐Machín, et al.. (2016). BPTF is required for c-MYC transcriptional activity and in vivo tumorigenesis. Nature Communications. 7(1). 10153–10153. 89 indexed citations
12.
Richart, Laia, Francisco X. Real, & Víctor J. Sánchez‐Arévalo Lobo. (2016). c-MYC partners with BPTF in human cancer. Molecular & Cellular Oncology. 3(3). e1152346–e1152346. 23 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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