Avtar Roopra

4.7k total citations
55 papers, 2.5k citations indexed

About

Avtar Roopra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Avtar Roopra has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Oncology. Recurrent topics in Avtar Roopra's work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Avtar Roopra is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Avtar Roopra collaborates with scholars based in United States, United Kingdom and Italy. Avtar Roopra's co-authors include Barry Schoenike, Noel J. Buckley, Romena Qazi, John F. Morrison, Timothy J. Daley, Ian Wood, Thomas P. Sutula, Carl E. Stafstrom, Jeffrey C. Ockuly and Raymond Dingledine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Avtar Roopra

53 papers receiving 2.4k citations

Peers

Avtar Roopra
Daniel P. Seeburg United States
Lisa Chakrabarti United Kingdom
Matthew R. Sarkisian United States
Jason D. Berndt United States
Liviu Aron United States
Anne Schänzer Germany
Christopher Grunseich United States
Jacqueline A. Sluijs Netherlands
Dawna Armstrong United States
Teruyuki Tanaka Japan
Daniel P. Seeburg United States
Avtar Roopra
Citations per year, relative to Avtar Roopra Avtar Roopra (= 1×) peers Daniel P. Seeburg

Countries citing papers authored by Avtar Roopra

Since Specialization
Citations

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

Fields of papers citing papers by Avtar Roopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avtar Roopra

This figure shows the co-authorship network connecting the top 25 collaborators of Avtar Roopra. A scholar is included among the top collaborators of Avtar Roopra 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 Avtar Roopra. Avtar Roopra 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.
Schoenike, Barry, Claudia Espinosa‐García, Felipe Paredes, et al.. (2025). Disease modification upon 2 weeks of tofacitinib treatment in a mouse model of chronic epilepsy. Science Translational Medicine. 17(790). eadt0527–eadt0527. 1 indexed citations
2.
3.
Fakhraldeen, Saja A., Scott M. Berry, David J. Beebe, et al.. (2022). Enhanced immunoprecipitation techniques for the identification of RNA-binding protein partners: IGF2BP1 interactions in mammary epithelial cells. Journal of Biological Chemistry. 298(3). 101649–101649. 3 indexed citations
4.
Wan, Jun, et al.. (2020). p53 Is Not Required for High CIN to Induce Tumor Suppression. Molecular Cancer Research. 19(1). 112–123. 14 indexed citations
5.
Kiernan, Elizabeth, et al.. (2020). Prior Hypoxia Exposure Enhances Murine Microglial Inflammatory Gene Expression in vitro Without Concomitant H3K4me3 Enrichment. Frontiers in Cellular Neuroscience. 14. 535549–535549. 5 indexed citations
6.
Kiernan, Elizabeth, et al.. (2020). Sex- and Region-Specific Differences in the Transcriptomes of Rat Microglia from the Brainstem and Cervical Spinal Cord. Journal of Pharmacology and Experimental Therapeutics. 375(1). 210–222. 10 indexed citations
7.
Damaschke, Nathan, Joseph Gawdzik, Bing Yang, et al.. (2020). CTCF loss mediates unique DNA hypermethylation landscapes in human cancers. Clinical Epigenetics. 12(1). 80–80. 35 indexed citations
8.
Schoenike, Barry, Heidi L. Grabenstatter, Margaret Johnson, et al.. (2019). A systems approach identifies Enhancer of Zeste Homolog 2 (EZH2) as a protective factor in epilepsy. PLoS ONE. 14(12). e0226733–e0226733. 14 indexed citations
9.
O’Riordan, Kenneth J., et al.. (2019). Histone deacetylase inhibitors restore normal hippocampal synaptic plasticity and seizure threshold in a mouse model of Tuberous Sclerosis Complex. Scientific Reports. 9(1). 5266–5266. 27 indexed citations
10.
Dingledine, Raymond, Douglas A. Coulter, Brita Fritsch, et al.. (2017). Transcriptional profile of hippocampal dentate granule cells in four rat epilepsy models. Scientific Data. 4(1). 170061–170061. 44 indexed citations
11.
Gunsalus, Kearney T. W., Matthew P. Wagoner, Kassondra Meyer, et al.. (2012). Induction of the RNA Regulator LIN28A Is Required for the Growth and Pathogenesis of RESTless Breast Tumors. Cancer Research. 72(13). 3207–3216. 13 indexed citations
12.
Wagoner, Matthew P. & Avtar Roopra. (2012). A REST derived gene signature stratifies glioblastomas into chemotherapy resistant and responsive disease. BMC Genomics. 13(1). 686–686. 15 indexed citations
13.
Stafstrom, Carl E., Jeffrey C. Ockuly, Lauren J. Murphree, et al.. (2009). Anticonvulsant and antiepileptic actions of 2‐deoxy‐D‐glucose in epilepsy models. Annals of Neurology. 65(4). 435–447. 129 indexed citations
14.
Jang, Sung‐Wook, Scott E. LeBlanc, Avtar Roopra, Lawrence Wrabetz, & John Svaren. (2006). In vivo detection of Egr2 binding to target genes during peripheral nerve myelination. Journal of Neurochemistry. 98(5). 1678–1687. 58 indexed citations
15.
Roopra, Avtar, Romena Qazi, Barry Schoenike, Timothy J. Daley, & John F. Morrison. (2004). Localized Domains of G9a-Mediated Histone Methylation Are Required for Silencing of Neuronal Genes. Molecular Cell. 14(6). 727–738. 238 indexed citations
16.
Garriga-Canut, Mireia, Avtar Roopra, & Noel J. Buckley. (2001). The Basic Helix-Loop-Helix Protein, SHARP-1, Represses Transcription by a Histone Deacetylase-dependent and Histone Deacetylase-independent Mechanism. Journal of Biological Chemistry. 276(18). 14821–14828. 33 indexed citations
17.
Roopra, Avtar, Ian Wood, & Noel J. Buckley. (2000). Transcriptional repression by the neuron-restrictive silencer factor (REST/NRSF) is mediated via the Sin3/histone deacetylase complex.. European Journal of Neuroscience. 12. 346–346. 1 indexed citations
18.
Wood, Ian, Meeta Mistry, Avtar Roopra, & Noel J. Buckley. (2000). The neuron restrictive silencer factor, REST/NRSF remodels chromatin and represses transcription in neurons. European Journal of Neuroscience. 12. 11–11. 1 indexed citations
19.
Garriga-Canut, Mireia, Ian Wood, Avtar Roopra, & Noel J. Buckley. (2000). The M1 muscarinic receptor gene is regulated by SHARP-1. A bHLH protein in concert with single stranded-binding proteins.. European Journal of Neuroscience. 12. 10–10. 1 indexed citations
20.
Green, Andrew, Avtar Roopra, & Mark D. Vaudin. (1990). Direct single stranded sequencing from agarose of polymerase chain reaction products. Nucleic Acids Research. 18(20). 6163–6164. 21 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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