Ivan García-Bassets

4.8k total citations · 2 hit papers
27 papers, 3.6k citations indexed

About

Ivan García-Bassets is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ivan García-Bassets has authored 27 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Oncology. Recurrent topics in Ivan García-Bassets's work include Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (7 papers) and RNA modifications and cancer (7 papers). Ivan García-Bassets is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (7 papers) and RNA modifications and cancer (7 papers). Ivan García-Bassets collaborates with scholars based in United States, Spain and China. Ivan García-Bassets's co-authors include Michael G. Rosenfeld, Christopher K. Glass, Kenneth A. Ohgi, David W. Rose, Bong‐Gun Ju, Xiang‐Dong Fu, Victoria V. Lunyak, Valentina Perissi, Christopher Benner and Dong Wang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ivan García-Bassets

27 papers receiving 3.6k citations

Hit Papers

A Topoisomerase IIß-Mediated dsDNA Break Required for Reg... 2006 2026 2012 2019 2006 2011 200 400 600

Peers

Ivan García-Bassets
Eric Metzger Germany
John Easton United States
Joseph D. Fondell United States
Christine B. Yoo United States
Eric Metzger Germany
Ivan García-Bassets
Citations per year, relative to Ivan García-Bassets Ivan García-Bassets (= 1×) peers Eric Metzger

Countries citing papers authored by Ivan García-Bassets

Since Specialization
Citations

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

Fields of papers citing papers by Ivan García-Bassets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan García-Bassets. 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 Ivan García-Bassets. The network helps show where Ivan García-Bassets may publish in the future.

Co-authorship network of co-authors of Ivan García-Bassets

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan García-Bassets. A scholar is included among the top collaborators of Ivan García-Bassets 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 Ivan García-Bassets. Ivan García-Bassets 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.
Ferrero, Giulio, Maria Dafne Cardamone, Francesca Luca, et al.. (2025). Nonproteolytic ubiquitination regulates chromatin occupancy by the NCoR/SMRT/HDAC3 corepressor complex in MCF-7 breast cancer cells. Proceedings of the National Academy of Sciences. 122(18). e2502805122–e2502805122. 1 indexed citations
2.
Oh, Soohwan, Jiaofang Shao, Joydeep Mitra, et al.. (2021). Enhancer release and retargeting activates disease-susceptibility genes. Nature. 595(7869). 735–740. 85 indexed citations
3.
Pinsach‐Abuin, Mel·lina, Bernat del Olmo, Jesús Matés, et al.. (2021). Analysis of Brugada syndrome loci reveals that fine-mapping clustered GWAS hits enhances the annotation of disease-relevant variants. Cell Reports Medicine. 2(4). 100250–100250. 4 indexed citations
4.
Ma, Qi, Feng Yang, Carlos Mackintosh, et al.. (2020). Super-Enhancer Redistribution as a Mechanism of Broad Gene Dysregulation in Repeatedly Drug-Treated Cancer Cells. Cell Reports. 31(3). 107532–107532. 26 indexed citations
5.
Teng, Shuaishuai, Yang Eric Li, Ming Yang, et al.. (2019). Tissue-specific transcription reprogramming promotes liver metastasis of colorectal cancer. Cell Research. 30(1). 34–49. 79 indexed citations
6.
Pinsach‐Abuin, Mel·lina, Carlos Mackintosh, Oriol Llorà-Batlle, et al.. (2016). Transcriptional regulation of the sodium channel gene ( SCN5A ) by GATA4 in human heart. Journal of Molecular and Cellular Cardiology. 102. 74–82. 24 indexed citations
7.
Telese, Francesca, Amir Gamliel, Dorota Skowronska‐Krawczyk, Ivan García-Bassets, & Michael G. Rosenfeld. (2013). “Seq-ing” Insights into the Epigenetics of Neuronal Gene Regulation. Neuron. 77(4). 606–623. 59 indexed citations
9.
Benner, Christopher, et al.. (2013). Decoding a Signature-Based Model of Transcription Cofactor Recruitment Dictated by Cardinal Cis-Regulatory Elements in Proximal Promoter Regions. PLoS Genetics. 9(11). e1003906–e1003906. 34 indexed citations
10.
Almenar‐Queralt, Angels, Sonia N. Kim, Christopher Benner, et al.. (2013). Presenilins Regulate Neurotrypsin Gene Expression and Neurotrypsin-dependent Agrin Cleavage via Cyclic AMP Response Element-binding Protein (CREB) Modulation. Journal of Biological Chemistry. 288(49). 35222–35236. 12 indexed citations
11.
García-Bassets, Ivan & Dong Wang. (2012). Cistrome plasticity and mechanisms of cistrome reprogramming. Cell Cycle. 11(17). 3199–3210. 8 indexed citations
12.
Escoubet‐Lozach, Laure, Christopher Benner, Minna U. Kaikkonen, et al.. (2011). Mechanisms Establishing TLR4-Responsive Activation States of Inflammatory Response Genes. PLoS Genetics. 7(12). e1002401–e1002401. 113 indexed citations
13.
Wang, Dong, Ivan García-Bassets, Christopher Benner, et al.. (2011). Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA. Nature. 474(7351). 390–394. 655 indexed citations breakdown →
14.
Liu, Wen, Bogdan Tanasă, Oksana V. Tyurina, et al.. (2010). PHF8 mediates histone H4 lysine 20 demethylation events involved in cell cycle progression. Nature. 466(7305). 508–512. 322 indexed citations
15.
Hu, Qidong, Young‐Soo Kwon, Esperanza Núñez, et al.. (2008). Enhancing nuclear receptor-induced transcription requires nuclear motor and LSD1-dependent gene networking in interchromatin granules. Proceedings of the National Academy of Sciences. 105(49). 19199–19204. 231 indexed citations
16.
Kwon, Young‐Soo, Ivan García-Bassets, Kasey R. Hutt, et al.. (2007). Sensitive ChIP-DSL technology reveals an extensive estrogen receptor α-binding program on human gene promoters. Proceedings of the National Academy of Sciences. 104(12). 4852–4857. 101 indexed citations
17.
García-Bassets, Ivan, Young‐Soo Kwon, Francesca Telese, et al.. (2007). Histone Methylation-Dependent Mechanisms Impose Ligand Dependency for Gene Activation by Nuclear Receptors. Cell. 128(3). 505–518. 367 indexed citations
18.
Toyo‐oka, Kazuhito, Shinji Hirotsune, Zirong Li, et al.. (2006). Mnt-Deficient Mammary Glands Exhibit Impaired Involution and Tumors with Characteristics of Myc Overexpression. Cancer Research. 66(11). 5565–5573. 28 indexed citations
19.
Zhu, Ping, Sung Hee Baek, Kenneth A. Ohgi, et al.. (2006). Macrophage/Cancer Cell Interactions Mediate Hormone Resistance by a Nuclear Receptor Derepression Pathway. Cell. 124(3). 615–629. 217 indexed citations
20.
García-Bassets, Ivan, M. Ortiz-Lombardı́a, Sara Pagans, et al.. (1999). The identification of nuclear proteins that bind the homopyrimidine strand of d(GATC)n DNA sequences, but not the homopurine strand. Nucleic Acids Research. 27(16). 3267–3275. 12 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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