Deanna C. Tremblay

693 total citations
10 papers, 548 citations indexed

About

Deanna C. Tremblay is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Deanna C. Tremblay has authored 10 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Oncology. Recurrent topics in Deanna C. Tremblay's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Extracellular vesicles in disease (3 papers) and Viral-associated cancers and disorders (3 papers). Deanna C. Tremblay is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Extracellular vesicles in disease (3 papers) and Viral-associated cancers and disorders (3 papers). Deanna C. Tremblay collaborates with scholars based in United States and Canada. Deanna C. Tremblay's co-authors include Brian P. Chadwick, Dingani Nkosi, David G. Meckes, Stephanie N. Hurwitz, Shawn C. Moseley, Xia Liu, Sara B. York, Nathalie G. Bérubé, Kristin D. Kernohan and Yan Jiang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Virology.

In The Last Decade

Deanna C. Tremblay

10 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deanna C. Tremblay United States 10 464 211 110 65 63 10 548
Yeong C. Kim United States 13 440 0.9× 229 1.1× 147 1.3× 44 0.7× 83 1.3× 24 666
Alexandra P. Lewis United States 9 457 1.0× 327 1.5× 151 1.4× 121 1.9× 50 0.8× 13 824
Fanglin Wei United States 10 327 0.7× 331 1.6× 46 0.4× 48 0.7× 45 0.7× 12 532
King L. Hung United States 8 588 1.3× 169 0.8× 78 0.7× 40 0.6× 112 1.8× 13 692
John Bernat United States 11 582 1.3× 205 1.0× 72 0.7× 82 1.3× 26 0.4× 28 951
Marta Gai Italy 13 337 0.7× 77 0.4× 58 0.5× 18 0.3× 92 1.5× 25 549
Ryan J. Cecchi United States 5 770 1.7× 143 0.7× 40 0.4× 56 0.9× 76 1.2× 7 865
Joel L. Frandsen United States 10 517 1.1× 366 1.7× 28 0.3× 51 0.8× 99 1.6× 13 659
Hiroko Koike-Yusa United Kingdom 5 929 2.0× 163 0.8× 121 1.1× 41 0.6× 86 1.4× 5 1000
Emma Haapaniemi Finland 4 829 1.8× 260 1.2× 34 0.3× 42 0.6× 146 2.3× 6 934

Countries citing papers authored by Deanna C. Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Deanna C. Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deanna C. Tremblay. 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 Deanna C. Tremblay. The network helps show where Deanna C. Tremblay may publish in the future.

Co-authorship network of co-authors of Deanna C. Tremblay

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

All Works

10 of 10 papers shown
1.
Nkosi, Dingani, Lauren A. Howell, Stephanie N. Hurwitz, et al.. (2018). Transmembrane Domains Mediate Intra- and Extracellular Trafficking of Epstein-Barr Virus Latent Membrane Protein 1. Journal of Virology. 92(17). 25 indexed citations
2.
Hurwitz, Stephanie N., Dingani Nkosi, Lauren A. Howell, et al.. (2018). The interactome of EBV LMP1 evaluated by proximity-based BioID approach. Virology. 516. 55–70. 35 indexed citations
3.
Hurwitz, Stephanie N., Dingani Nkosi, Sara B. York, et al.. (2017). CD63 Regulates Epstein-Barr Virus LMP1 Exosomal Packaging, Enhancement of Vesicle Production, and Noncanonical NF-κB Signaling. Journal of Virology. 91(5). 165 indexed citations
4.
Moseley, Shawn C., et al.. (2012). The macrosatellite DXZ4 mediates CTCF-dependent long-range intrachromosomal interactions on the human inactive X chromosome. Human Molecular Genetics. 21(20). 4367–4377. 64 indexed citations
6.
Moseley, Shawn C., et al.. (2011). YY1 associates with the macrosatellite DXZ4 on the inactive X chromosome and binds with CTCF to a hypomethylated form in some male carcinomas. Nucleic Acids Research. 40(4). 1596–1608. 17 indexed citations
7.
Tremblay, Deanna C., Shawn C. Moseley, & Brian P. Chadwick. (2011). Variation in Array Size, Monomer Composition and Expression of the Macrosatellite DXZ4. PLoS ONE. 6(4). e18969–e18969. 20 indexed citations
8.
Tremblay, Deanna C., et al.. (2010). Expression, tandem repeat copy number variation and stability of four macrosatellite arrays in the human genome. BMC Genomics. 11(1). 632–632. 32 indexed citations
9.
Kernohan, Kristin D., Yan Jiang, Deanna C. Tremblay, et al.. (2010). ATRX Partners with Cohesin and MeCP2 and Contributes to Developmental Silencing of Imprinted Genes in the Brain. Developmental Cell. 18(2). 191–202. 136 indexed citations
10.
Levy, Michael A., Andrew D. Fernandes, Deanna C. Tremblay, Claudia Seah, & Nathalie G. Bérubé. (2008). The SWI/SNF protein ATRX co-regulates pseudoautosomal genes that have translocated to autosomes in the mouse genome. BMC Genomics. 9(1). 468–468. 19 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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