Margret Shirinian

920 total citations
29 papers, 459 citations indexed

About

Margret Shirinian is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Margret Shirinian has authored 29 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Immunology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Margret Shirinian's work include Invertebrate Immune Response Mechanisms (7 papers), Epigenetics and DNA Methylation (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Margret Shirinian is often cited by papers focused on Invertebrate Immune Response Mechanisms (7 papers), Epigenetics and DNA Methylation (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Margret Shirinian collaborates with scholars based in Lebanon, Sweden and Canada. Margret Shirinian's co-authors include Nada Jabado, Caroline Grabbe, Karine Jacob, Ali Bazarbachi, Erin J. Walker, Cynthia Hawkins, Cindy Zhang, Uri Tabori, Iris Fried and Peter B. Dirks and has published in prestigious journals such as Molecular Cell, PLoS ONE and Journal of Virology.

In The Last Decade

Margret Shirinian

29 papers receiving 456 citations

Peers

Margret Shirinian
Jack M. Su United States
Anthony Pawson Canada
Peter Verheesen Netherlands
Phuong Cao Thi Ngoc Singapore
Juliane Menezes Portugal
Juraj Hlavatý Austria
R. van Driel Australia
Magdalena Krupa United States
Karin P.S. Langenberg Netherlands
G Rechavi Israel
Jack M. Su United States
Margret Shirinian
Citations per year, relative to Margret Shirinian Margret Shirinian (= 1×) peers Jack M. Su

Countries citing papers authored by Margret Shirinian

Since Specialization
Citations

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

Fields of papers citing papers by Margret Shirinian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margret Shirinian

This figure shows the co-authorship network connecting the top 25 collaborators of Margret Shirinian. A scholar is included among the top collaborators of Margret Shirinian 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 Margret Shirinian. Margret Shirinian 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.
Umapathy, Ganesh, Patricia Mendoza-García, Andreas Schlösser, et al.. (2024). The Alk receptor tyrosine kinase regulates Sparkly, a novel activity regulating neuropeptide precursor in the Drosophila central nervous system. eLife. 12. 1 indexed citations
2.
Rahal, Elias A., et al.. (2024). The molecular signature of BCR::ABL and BCR::ABL in a Drosophila melanogaster chronic myeloid leukemia model. iScience. 27(4). 109538–109538. 1 indexed citations
3.
Umapathy, Ganesh, Patricia Mendoza-García, Andreas Schlösser, et al.. (2023). The Alk receptor tyrosine kinase regulates Sparkly, a novel activity regulating neuropeptide precursor in the Drosophila central nervous system. eLife. 12. 1 indexed citations
4.
Shirinian, Margret, et al.. (2023). Insights in orthodontic genetic and epigenetic knowledge and its translation in clinical practice. Seminars in Orthodontics. 29(3). 260–263. 1 indexed citations
5.
Hugosson, Fredrik, Joy N. Ismail, Tenzin Gayden, et al.. (2022). Drosophila Tet Is Required for Maintaining Glial Homeostasis in Developing and Adult Fly Brains. eNeuro. 9(2). ENEURO.0418–21.2022. 4 indexed citations
6.
Hashash, Jana G., et al.. (2022). Expression of the methylcytosine dioxygenase ten-eleven translocation-2 and connexin 43 in inflammatory bowel disease and colorectal cancer. World Journal of Gastroenterology. 28(40). 5845–5864. 10 indexed citations
7.
Fayad, Antoine Abou, et al.. (2021). Drosophila melanogaster as a Model System to Assess the Effect of Epstein-Barr Virus DNA on Inflammatory Gut Diseases. Frontiers in Immunology. 12. 586930–586930. 14 indexed citations
8.
Chen, Carol, Ashot S. Harutyunyan, Xiao Chen, et al.. (2021). Histone H3.3 K27M and K36M mutations de-repress transposable elements through perturbation of antagonistic chromatin marks. Molecular Cell. 81(23). 4876–4890.e7. 29 indexed citations
9.
Ismail, Joy N., et al.. (2020). Ten-eleven translocation proteins and their role beyond DNA demethylation – what we can learn from the fly. Epigenetics. 15(11). 1139–1150. 6 indexed citations
10.
11.
Ismail, Joy N., et al.. (2019). Drosophila Tet Is Expressed in Midline Glia and Is Required for Proper Axonal Development. Frontiers in Cellular Neuroscience. 13. 252–252. 14 indexed citations
12.
Shirinian, Margret, et al.. (2018). Epstein-Barr Virus DNA Enhances Diptericin Expression and Increases Hemocyte Numbers in Drosophila melanogaster via the Immune Deficiency Pathway. Frontiers in Microbiology. 9. 1268–1268. 10 indexed citations
13.
Hleihel, Rita, Ingrid Dacklin, Zeina Dassouki, et al.. (2018). The HTLV-1 oncoprotein Tax is modified by the ubiquitin related modifier 1 (Urm1). Retrovirology. 15(1). 33–33. 12 indexed citations
14.
Shirinian, Margret, Zakaria Kambris, Caroline Grabbe, et al.. (2015). A Transgenic Drosophila melanogaster Model To Study Human T-Lymphotropic Virus Oncoprotein Tax-1-Driven Transformation In Vivo. Journal of Virology. 89(15). 8092–8095. 21 indexed citations
15.
Shirinian, Margret, et al.. (2013). Tax-1 and Tax-2 similarities and differences: focus on post-translational modifications and NF-κB activation. Frontiers in Microbiology. 4. 231–231. 26 indexed citations
16.
Hawkins, Cynthia, Erin J. Walker, Nequesha S. Mohamed, et al.. (2011). BRAF-KIAA1549 Fusion Predicts Better Clinical Outcome in Pediatric Low-Grade Astrocytoma. Clinical Cancer Research. 17(14). 4790–4798. 176 indexed citations
17.
Al-Halabi, H., André Nantel, Álmos Klekner, et al.. (2010). Preponderance of sonic hedgehog pathway activation characterizes adult medulloblastoma. Acta Neuropathologica. 121(2). 229–239. 32 indexed citations
18.
Shirinian, Margret, Caroline Grabbe, Milica Popović, et al.. (2010). The Rap1 Guanine Nucleotide Exchange Factor C3G Is Required for Preservation of Larval Muscle Integrity in Drosophila melanogaster. PLoS ONE. 5(3). e9403–e9403. 12 indexed citations
19.
Wolfstetter, Georg, Margret Shirinian, Caroline Grabbe, et al.. (2009). Fusion of circular and longitudinal muscles in Drosophila is independent of the endoderm but further visceral muscle differentiation requires a close contact between mesoderm and endoderm. Mechanisms of Development. 126(8-9). 721–736. 29 indexed citations
20.
Shirinian, Margret, Gaurav K. Varshney, Christina E. Lorén, Caroline Grabbe, & Ruth H. Palmer. (2007). Drosophila Anaplastic Lymphoma Kinase regulates Dpp signalling in the developing embryonic gut. Differentiation. 75(5). 418–426. 14 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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