Danny Rangasamy

2.3k total citations
32 papers, 1.8k citations indexed

About

Danny Rangasamy is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Danny Rangasamy has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Danny Rangasamy's work include Chromosomal and Genetic Variations (16 papers), Genomics and Chromatin Dynamics (12 papers) and CRISPR and Genetic Engineering (8 papers). Danny Rangasamy is often cited by papers focused on Chromosomal and Genetic Variations (16 papers), Genomics and Chromatin Dynamics (12 papers) and CRISPR and Genetic Engineering (8 papers). Danny Rangasamy collaborates with scholars based in Australia, United States and India. Danny Rangasamy's co-authors include David J. Tremethick, Ian K. Greaves, Jun Fan, Karolin Luger, Patricia Ridgway, Jane E. Dahlstrom, Jiansheng Zhou, Jennifer A. Marshall Graves, Paul J. Laybourn and Yunhe Bao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Danny Rangasamy

32 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Rangasamy Australia 19 1.6k 464 159 125 108 32 1.8k
Paolo Mita United States 19 1.1k 0.6× 656 1.4× 109 0.7× 111 0.9× 160 1.5× 27 1.3k
Sonia Verp Switzerland 15 1.6k 1.0× 402 0.9× 266 1.7× 205 1.6× 145 1.3× 19 1.8k
David Scalzo United States 16 1.7k 1.1× 301 0.6× 306 1.9× 73 0.6× 77 0.7× 18 1.9k
Son C. Nguyen United States 20 1.2k 0.7× 336 0.7× 205 1.3× 88 0.7× 74 0.7× 36 1.3k
Svetlana Petruk United States 18 1.3k 0.8× 192 0.4× 174 1.1× 197 1.6× 66 0.6× 27 1.6k
Kristen E. Neely United States 12 2.0k 1.2× 229 0.5× 313 2.0× 131 1.0× 161 1.5× 12 2.2k
Tim R. Hebbes United Kingdom 11 1.8k 1.1× 199 0.4× 273 1.7× 91 0.7× 121 1.1× 13 2.0k
Geneviève Almouzni France 11 878 0.5× 217 0.5× 136 0.9× 44 0.4× 127 1.2× 13 1.0k
Jérôme Déjardin France 21 1.8k 1.1× 408 0.9× 223 1.4× 90 0.7× 72 0.7× 36 2.0k
Henrik Spåhr Sweden 24 2.2k 1.3× 186 0.4× 117 0.7× 191 1.5× 58 0.5× 33 2.3k

Countries citing papers authored by Danny Rangasamy

Since Specialization
Citations

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

Fields of papers citing papers by Danny Rangasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Rangasamy

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Rangasamy. A scholar is included among the top collaborators of Danny Rangasamy 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 Danny Rangasamy. Danny Rangasamy 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.
Ohms, Stephen, et al.. (2021). The Antiviral Drug Efavirenz in Breast Cancer Stem Cell Therapy. Cancers. 13(24). 6232–6232. 2 indexed citations
2.
Board, Philip G., et al.. (2020). Efavirenz as a potential drug for the treatment of triple-negative breast cancers. Clinical & Translational Oncology. 23(2). 353–363. 8 indexed citations
3.
Lenka, Nibedita, et al.. (2014). Exploiting the power of LINE-1 retrotransposon mutagenesis for identification of genes involved in embryonic stem cell differentiation. Stem Cell Reviews and Reports. 10(3). 408–416. 1 indexed citations
4.
Chen, Long, Jane E. Dahlstrom, & Danny Rangasamy. (2014). Differential DNA Methylation Patterns in Endo-siRNAs Mediated Silencing of LINE-1 Retrotransposons. Methods in molecular biology. 1173. 169–180. 1 indexed citations
5.
Ohms, Stephen, et al.. (2014). LINE-1 retrotransposons and let-7 miRNA: partners in the pathogenesis of cancer?. Frontiers in Genetics. 5. 338–338. 10 indexed citations
6.
Xu, Huiling, Yuqian Yan, Siddhartha Deb, et al.. (2014). Cohesin Rad21 Mediates Loss of Heterozygosity and Is Upregulated via Wnt Promoting Transcriptional Dysregulation in Gastrointestinal Tumors. Cell Reports. 9(5). 1781–1797. 32 indexed citations
7.
Patnala, Radhika, S. C. Lee, Jane E. Dahlstrom, et al.. (2013). Inhibition of LINE-1 retrotransposon-encoded reverse transcriptase modulates the expression of cell differentiation genes in breast cancer cells. Breast Cancer Research and Treatment. 143(2). 239–253. 43 indexed citations
8.
9.
Chen, Long, Jane E. Dahlstrom, Sung-Hun Lee, & Danny Rangasamy. (2012). Naturally occurring endo-siRNA silences LINE-1 retrotransposons in human cells through DNA methylation. Epigenetics. 7(7). 758–771. 67 indexed citations
10.
11.
Shannon, M, et al.. (2010). The Impact of CpG Island on Defining Transcriptional Activation of the Mouse L1 Retrotransposable Elements. PLoS ONE. 5(6). e11353–e11353. 25 indexed citations
12.
Rangasamy, Danny. (2010). Histone Variant H2A.Z Can Serve as a New Target for Breast Cancer Therapy. Current Medicinal Chemistry. 17(28). 3155–3161. 39 indexed citations
13.
Lee, Sung-Hun, et al.. (2009). Control of chicken CR1 retrotransposons is independent of Dicer-mediated RNA interference pathway. BMC Biology. 7(1). 53–53. 15 indexed citations
14.
Zhou, Jiansheng, Jun Fan, Danny Rangasamy, & David J. Tremethick. (2007). The nucleosome surface regulates chromatin compaction and couples it with transcriptional repression. Nature Structural & Molecular Biology. 14(11). 1070–1076. 154 indexed citations
15.
Greaves, Ian K., et al.. (2006). The X and Y Chromosomes Assemble into H2A.Z-Containing Facultative Heterochromatin following Meiosis. Molecular and Cellular Biology. 26(19). 7343–7343. 2 indexed citations
16.
Yang, Ming, Danny Rangasamy, Klaus I. Matthaei, et al.. (2006). Inhibition of Arginase I Activity by RNA Interference Attenuates IL-13-Induced Airways Hyperresponsiveness. The Journal of Immunology. 177(8). 5595–5603. 79 indexed citations
17.
Ridgway, Patricia, et al.. (2004). Unique Residues on the H2A.Z Containing Nucleosome Surface Are Important for Xenopus laevis Development. Journal of Biological Chemistry. 279(42). 43815–43820. 67 indexed citations
18.
Fan, Jun, Danny Rangasamy, Karolin Luger, & David J. Tremethick. (2004). H2A.Z Alters the Nucleosome Surface to Promote HP1α-Mediated Chromatin Fiber Folding. Molecular Cell. 16(4). 655–661. 243 indexed citations
19.
Ridgway, Patricia, et al.. (2003). Analysis of Histone Variant H2A.Z Localization and Expression during Early Development. Methods in enzymology on CD-ROM/Methods in enzymology. 375. 239–252. 4 indexed citations
20.
Rangasamy, Danny. (2003). Pericentric heterochromatin becomes enriched with H2A.Z during early mammalian development. The EMBO Journal. 22(7). 1599–1607. 186 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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