Misha Bilenky

11.2k total citations · 1 hit paper
31 papers, 2.4k citations indexed

About

Misha Bilenky is a scholar working on Molecular Biology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Misha Bilenky has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Misha Bilenky's work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (11 papers) and Acute Myeloid Leukemia Research (5 papers). Misha Bilenky is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (11 papers) and Acute Myeloid Leukemia Research (5 papers). Misha Bilenky collaborates with scholars based in Canada, United States and United Kingdom. Misha Bilenky's co-authors include Martin Hirst, Steven J.M. Jones, Marco A. Marra, Gordon Robertson, Nina Thiessen, Yongjun Zhao, Obi L. Griffith, Thomas Zeng, M Snyder and Ghia Euskirchen and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Misha Bilenky

30 papers receiving 2.4k citations

Hit Papers

Genome-wide profiles of STAT1 DNA association using chrom... 2007 2026 2013 2019 2007 250 500 750 1000

Peers

Misha Bilenky
J. Kim United States
Luis A. Parada Argentina
Till Bartke Germany
Vinod Pant United States
Xiaole Shirley Liu United States
Elisa Oricchio United States
J. Kim United States
Misha Bilenky
Citations per year, relative to Misha Bilenky Misha Bilenky (= 1×) peers J. Kim

Countries citing papers authored by Misha Bilenky

Since Specialization
Citations

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

Fields of papers citing papers by Misha Bilenky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misha Bilenky

This figure shows the co-authorship network connecting the top 25 collaborators of Misha Bilenky. A scholar is included among the top collaborators of Misha Bilenky 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 Misha Bilenky. Misha Bilenky 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.
Cole, Grace, Jeremy Parker, Eric Yung, et al.. (2023). Meis1 establishes the pre-hemogenic endothelial state prior to Runx1 expression. Nature Communications. 14(1). 4537–4537. 10 indexed citations
2.
Jenkins, Catherine E., Qi Cao, Jasper Wong, et al.. (2023). RUNX1 colludes with NOTCH1 to reprogram chromatin in T cell acute lymphoblastic leukemia. iScience. 26(6). 106795–106795. 3 indexed citations
3.
Lorzadeh, Alireza, Colin A. Hammond, David J. H. F. Knapp, et al.. (2022). Polycomb contraction differentially regulates terminal human hematopoietic differentiation programs. BMC Biology. 20(1). 104–104. 5 indexed citations
4.
Bilenky, Misha, Alastair Davies, Ruth Isserlin, et al.. (2021). Distinct DNA methylation patterns associated with treatment resistance in metastatic castration resistant prostate cancer. Scientific Reports. 11(1). 6630–6630. 12 indexed citations
5.
Carles, Annaïck, Genny Trigo‐Gonzalez, Qi Cao, et al.. (2020). The Pathognomonic FOXL2 C134W Mutation Alters DNA-Binding Specificity. Cancer Research. 80(17). 3480–3491. 19 indexed citations
6.
Pellacani, Davide, Naoto Nakamichi, Colin A. Hammond, et al.. (2020). MYC-induced human acute myeloid leukemia requires a continuing IL-3/GM-CSF costimulus. Blood. 136(24). 2764–2773. 18 indexed citations
7.
Sloma, Ivan, Philip Beer, Christophe Desterke, et al.. (2020). Epigenetic and functional changes imposed by NUP98-HOXA9 in a genetically engineered model of chronic myeloid leukemia progression. Haematologica. 106(3). 881–885. 1 indexed citations
8.
Thakur, Avinash, Jasper Wong, Evan Y. Wang, et al.. (2019). Hepatocyte Nuclear Factor 4‐Alpha Is Essential for the Active Epigenetic State at Enhancers in Mouse Liver. Hepatology. 70(4). 1360–1376. 51 indexed citations
9.
Ebata, Kevin, Kathryn Mesh, Shichong Liu, et al.. (2017). Vitamin C induces specific demethylation of H3K9me2 in mouse embryonic stem cells via Kdm3a/b. Epigenetics & Chromatin. 10(1). 36–36. 50 indexed citations
10.
Chaturvedi, Anuhar, Misha Bilenky, Qi Cao, et al.. (2017). Vitamin C-induced epigenomic remodelling in IDH1 mutant acute myeloid leukaemia. Leukemia. 32(1). 11–20. 59 indexed citations
11.
Pellacani, Davide, Misha Bilenky, Nagarajan Kannan, et al.. (2016). Analysis of Normal Human Mammary Epigenomes Reveals Cell-Specific Active Enhancer States and Associated Transcription Factor Networks. Cell Reports. 17(8). 2060–2074. 59 indexed citations
12.
Lorzadeh, Alireza, Misha Bilenky, Colin A. Hammond, et al.. (2016). Nucleosome Density ChIP-Seq Identifies Distinct Chromatin Modification Signatures Associated with MNase Accessibility. Cell Reports. 17(8). 2112–2124. 30 indexed citations
13.
Nguyen, Long, Davide Pellacani, Sylvain Lefort, et al.. (2015). Barcoding reveals complex clonal dynamics of de novo transformed human mammary cells. Nature. 528(7581). 267–271. 86 indexed citations
14.
Cusulin, Carlo, Charles Chesnelong, Pinaki Bose, et al.. (2015). Precursor States of Brain Tumor Initiating Cell Lines Are Predictive of Survival in Xenografts and Associated with Glioblastoma Subtypes. Stem Cell Reports. 5(1). 1–9. 44 indexed citations
15.
Lowdon, Rebecca F., Bo Zhang, Misha Bilenky, et al.. (2014). Regulatory network decoded from epigenomes of surface ectoderm-derived cell types. Nature Communications. 5(1). 5442–5442. 18 indexed citations
16.
Alder, Olivia, Rebecca Cullum, Sam Lee, et al.. (2014). Hippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation. Cell Reports. 9(1). 261–271. 85 indexed citations
17.
Maksakova, Irina A., Preeti Goyal, Jörn Bullwinkel, et al.. (2011). H3K9me3-binding proteins are dispensable for SETDB1/H3K9me3-dependent retroviral silencing. Epigenetics & Chromatin. 4(1). 12–12. 35 indexed citations
18.
Rebollo, Rita, Mohammad M. Karimi, Misha Bilenky, et al.. (2011). Retrotransposon-Induced Heterochromatin Spreading in the Mouse Revealed by Insertional Polymorphisms. PLoS Genetics. 7(9). e1002301–e1002301. 112 indexed citations
19.
Huang, Yongsheng, Kajal Sitwala, Joel C. Bronstein, et al.. (2011). Identification and characterization of Hoxa9 binding sites in hematopoietic cells. Blood. 119(2). 388–398. 137 indexed citations
20.
Robertson, Gordon, Martin Hirst, Matthew N. Bainbridge, et al.. (2007). Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing. Nature Methods. 4(8). 651–657. 1023 indexed citations breakdown →

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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