Varun Narendra

2.6k total citations · 1 hit paper
21 papers, 1.7k citations indexed

About

Varun Narendra is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Varun Narendra has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Hematology. Recurrent topics in Varun Narendra's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Varun Narendra is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Varun Narendra collaborates with scholars based in United States, Netherlands and Mexico. Varun Narendra's co-authors include Danny Reinberg, Esteban O. Mazzoni, Jane A. Skok, Pedro P. Rocha, Ramya Raviram, Roberto Bonasio, Disi An, Ozgur Oksuz, Toshinori Iwahara and Edgar González-Buendía and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Varun Narendra

19 papers receiving 1.7k citations

Hit Papers

CTCF establishes discrete functional chromatin domains at... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Varun Narendra United States 15 1.4k 230 199 185 143 21 1.7k
Christelle Cayrou France 22 2.3k 1.7× 225 1.0× 192 1.0× 275 1.5× 165 1.2× 27 2.6k
Jason P. Smith United States 19 544 0.4× 82 0.4× 135 0.7× 155 0.8× 130 0.9× 46 1.0k
Attila Németh Germany 21 1.5k 1.1× 122 0.5× 224 1.1× 156 0.8× 144 1.0× 50 1.8k
Marianna Nicoletta Rossi Italy 15 560 0.4× 258 1.1× 106 0.5× 40 0.2× 160 1.1× 27 902
Michael Klutstein Israel 15 1.1k 0.8× 146 0.6× 134 0.7× 133 0.7× 242 1.7× 34 1.4k
Allison Piovesan Italy 17 984 0.7× 85 0.4× 74 0.4× 261 1.4× 264 1.8× 40 1.6k
Roberta Franks United States 21 1.1k 0.8× 407 1.8× 32 0.2× 256 1.4× 124 0.9× 31 1.7k
Chi‐Ju Chen Taiwan 17 610 0.5× 433 1.9× 41 0.2× 82 0.4× 53 0.4× 27 1.2k
Takayuki Ohshima Japan 21 1.0k 0.8× 240 1.0× 27 0.1× 142 0.8× 135 0.9× 45 1.7k
Xun Lan China 28 2.0k 1.5× 259 1.1× 135 0.7× 363 2.0× 327 2.3× 71 2.7k

Countries citing papers authored by Varun Narendra

Since Specialization
Citations

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

Fields of papers citing papers by Varun Narendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Narendra

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Narendra. A scholar is included among the top collaborators of Varun Narendra 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 Varun Narendra. Varun Narendra 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.
Narendra, Varun, Tandrila Das, Tom Devine, et al.. (2025). Independent mechanisms of inflammation and myeloid bias in VEXAS syndrome. Nature. 649(8099). 1273–1281.
2.
Millman, Scott E., Almudena Chaves Perez, Sudha Janaki‐Raman, et al.. (2025). α-Ketoglutarate dehydrogenase is a therapeutic vulnerability in acute myeloid leukemia. Blood. 145(13). 1422–1436. 4 indexed citations
3.
Wuest, Alexandra, Alvin Hsu, Varun Narendra, et al.. (2024). High-throughput evaluation of genetic variants with prime editing sensor libraries. Nature Biotechnology. 43(10). 1648–1662. 27 indexed citations
4.
Huang, Pin‐Yao, Hyunwoo Cho, Varun Narendra, et al.. (2022). CRISPR and biochemical screens identify MAZ as a cofactor in CTCF-mediated insulation at Hox clusters. Nature Genetics. 54(2). 202–212. 44 indexed citations
5.
Millman, Scott E., Almudena Chaves Perez, John P. Morris, et al.. (2022). Ogdh Is a Genetic Vulnerability and Therapeutic Target in Acute Myeloid Leukemia. Blood. 140(Supplement 1). 5846–5847. 1 indexed citations
6.
Jee, Justin, Aaron J. Stonestrom, Sean M. Devlin, et al.. (2021). Oncologic immunomodulatory agents in patients with cancer and COVID-19. Scientific Reports. 11(1). 4814–4814. 10 indexed citations
7.
Stahl, Maximilian, Varun Narendra, Justin Jee, et al.. (2021). Neutropenia in adult acute myeloid leukemia patients represents a powerful risk factor for COVID-19 related mortality. Leukemia & lymphoma. 62(8). 1940–1948. 7 indexed citations
9.
Jee, Justin, Michael B. Foote, Melissa Lumish, et al.. (2020). Chemotherapy and COVID-19 Outcomes in Patients With Cancer. Journal of Clinical Oncology. 38(30). 3538–3546. 173 indexed citations
10.
Oksuz, Ozgur, Varun Narendra, Chul‐Hwan Lee, et al.. (2018). Capturing the Onset of PRC2-Mediated Repressive Domain Formation. Molecular Cell. 70(6). 1149–1162.e5. 182 indexed citations
11.
Narendra, Varun, et al.. (2016). CTCF-mediated topological boundaries during development foster appropriate gene regulation. Genes & Development. 30(24). 2657–2662. 113 indexed citations
12.
Tu, Shengjiang, Varun Narendra, Masashi Yamaji, et al.. (2016). Co-repressor CBFA2T2 regulates pluripotency and germline development. Nature. 534(7607). 387–390. 48 indexed citations
13.
Lecona, Emilio, Varun Narendra, & Danny Reinberg. (2015). USP7 Cooperates with SCML2 To Regulate the Activity of PRC1. Molecular and Cellular Biology. 35(7). 1157–1168. 44 indexed citations
14.
Narendra, Varun, Pedro P. Rocha, Disi An, et al.. (2015). CTCF establishes discrete functional chromatin domains at the Hox clusters during differentiation. Science. 347(6225). 1017–1021. 400 indexed citations breakdown →
15.
Tee, Wee‐Wei, Steven S. Shen, Ozgur Oksuz, Varun Narendra, & Danny Reinberg. (2014). Erk1/2 Activity Promotes Chromatin Features and RNAPII Phosphorylation at Developmental Promoters in Mouse ESCs. Cell. 156(4). 678–690. 125 indexed citations
16.
Saldaña-Meyer, Ricardo, Edgar González-Buendía, Georgina Guerrero, et al.. (2014). CTCF regulates the human p53 gene through direct interaction with its natural antisense transcript, Wrap53. Genes & Development. 28(7). 723–734. 162 indexed citations
17.
Bonasio, Roberto, Emilio Lecona, Varun Narendra, et al.. (2014). Interactions with RNA direct the Polycomb group protein SCML2 to chromatin where it represses target genes. eLife. 3. e02637–e02637. 39 indexed citations
18.
Beck, David B., Varun Narendra, William J. Drury, et al.. (2014). In Vivo Proximity Labeling for the Detection of Protein–Protein and Protein–RNA Interactions. Journal of Proteome Research. 13(12). 6135–6143. 20 indexed citations
19.
Statnikov, Alexander, Mikael Henaff, Varun Narendra, et al.. (2013). A comprehensive evaluation of multicategory classification methods for microbiomic data. Microbiome. 1(1). 11–11. 152 indexed citations
20.
Narendra, Varun, et al.. (2010). A comprehensive assessment of methods for de-novo reverse-engineering of genome-scale regulatory networks. Genomics. 97(1). 7–18. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026