Razan Sheta

604 total citations
22 papers, 367 citations indexed

About

Razan Sheta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Razan Sheta has authored 22 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Razan Sheta's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Galectins and Cancer Biology (5 papers). Razan Sheta is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Galectins and Cancer Biology (5 papers). Razan Sheta collaborates with scholars based in Canada, United States and United Kingdom. Razan Sheta's co-authors include Dimcho Bachvarov, Abid Oueslati, Maxime Teixeira, Magdalena Bachvarova, Marie‐Claude Renaud, Alexandra Sebastianelli, Marie Plante, Jean‐Pierre Grégoire, Stéphane Gobeil and Christine R. Gonzales and has published in prestigious journals such as Scientific Reports, Journal of Cell Science and International Journal of Molecular Sciences.

In The Last Decade

Razan Sheta

20 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Razan Sheta Canada 10 253 111 57 50 46 22 367
Katharina Baum Germany 10 197 0.8× 66 0.6× 38 0.7× 37 0.7× 43 0.9× 19 303
Elisa Arthofer United States 8 294 1.2× 114 1.0× 41 0.7× 24 0.5× 50 1.1× 13 455
Kiran Kodali United States 10 272 1.1× 46 0.4× 79 1.4× 43 0.9× 37 0.8× 12 399
Maayan Salton Israel 11 666 2.6× 115 1.0× 80 1.4× 41 0.8× 40 0.9× 19 766
Eun‐Jung Ann South Korea 13 345 1.4× 46 0.4× 49 0.9× 41 0.8× 26 0.6× 21 441
Cornelia E. Zorca Canada 10 236 0.9× 42 0.4× 40 0.7× 35 0.7× 49 1.1× 15 356
Nickolay V. Kukekov United States 6 258 1.0× 39 0.4× 44 0.8× 60 1.2× 39 0.8× 7 357
Diana Aguilar‐Morante Spain 14 220 0.9× 57 0.5× 36 0.6× 18 0.4× 33 0.7× 16 329
Laura A. Tollini United States 7 237 0.9× 96 0.9× 34 0.6× 33 0.7× 16 0.3× 9 355
Agata Charzyńska Poland 10 162 0.6× 76 0.7× 30 0.5× 23 0.5× 42 0.9× 17 334

Countries citing papers authored by Razan Sheta

Since Specialization
Citations

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

Fields of papers citing papers by Razan Sheta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Razan Sheta

This figure shows the co-authorship network connecting the top 25 collaborators of Razan Sheta. A scholar is included among the top collaborators of Razan Sheta 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 Razan Sheta. Razan Sheta 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.
2.
Sheta, Razan, et al.. (2025). Interplay between lipid droplets and alpha-synuclein: implication in Parkinson’s disease pathogenesis. Frontiers in Molecular Neuroscience. 18. 1681039–1681039.
3.
Sheta, Razan, et al.. (2024). Behavioral analysis of motor and non-motor impairment in rodent models of Parkinson's disease. Frontiers in Aging Neuroscience. 16. 1464706–1464706. 4 indexed citations
4.
5.
Khan, Mehtab, Razan Sheta, Stéphanie Jean, et al.. (2023). Aggregation of alpha-synuclein disrupts mitochondrial metabolism and induce mitophagy via cardiolipin externalization. Cell Death and Disease. 14(11). 729–729. 35 indexed citations
6.
Teixeira, Maxime, et al.. (2023). Optogenetic-mediated induction and monitoring of α-synuclein aggregation in cellular models of Parkinson’s disease. STAR Protocols. 4(4). 102738–102738. 1 indexed citations
7.
Sheta, Razan, et al.. (2023). Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons. STAR Protocols. 4(3). 102486–102486. 7 indexed citations
8.
9.
Sheta, Razan, Maxime Teixeira, Aurélie de Rus Jacquet, et al.. (2022). Combining NGN2 programming and dopaminergic patterning for a rapid and efficient generation of hiPSC-derived midbrain neurons. Scientific Reports. 12(1). 17176–17176. 9 indexed citations
10.
11.
Sheta, Razan, Magdalena Bachvarova, Elizabeth A. Macdonald, et al.. (2019). The polypeptide GALNT6 Displays Redundant Functions upon Suppression of its Closest Homolog GALNT3 in Mediating Aberrant O-Glycosylation, Associated with Ovarian Cancer Progression. International Journal of Molecular Sciences. 20(9). 2264–2264. 18 indexed citations
12.
Sheta, Razan, Magdalena Bachvarova, Marie Plante, et al.. (2017). Altered expression of different GalNAc-transferases is associated with disease progression and poor prognosis in women with high-grade serous ovarian cancer. International Journal of Oncology. 51(6). 1887–1897. 27 indexed citations
13.
Sheta, Razan, Magdalena Bachvarova, Marie Plante, et al.. (2017). Suppression of the grainyhead transcription factor 2 gene (GRHL2) inhibits the proliferation, migration, invasion and mediates cell cycle arrest of ovarian cancer cells. Cell Cycle. 16(7). 693–706. 29 indexed citations
14.
Sheta, Razan, Zhi‐Qiang Wang, Magdalena Bachvarova, et al.. (2017). Hic-5 regulates epithelial to mesenchymal transition in ovarian cancer cells in a TGFβ1-independent manner. Oncotarget. 8(47). 82506–82530. 12 indexed citations
15.
Sheta, Razan, Florence Roux‐Dalvai, Christina M. Woo, et al.. (2016). Proteomic dataset for altered glycoprotein expression upon GALNT3 knockdown in ovarian cancer cells. Data in Brief. 8. 342–349. 6 indexed citations
16.
Sheta, Razan, Christina M. Woo, Florence Roux‐Dalvai, et al.. (2016). A metabolic labeling approach for glycoproteomic analysis reveals altered glycoprotein expression upon GALNT3 knockdown in ovarian cancer cells. Journal of Proteomics. 145. 91–102. 22 indexed citations
17.
Ounzain, Samir, Rudi Micheletti, Frédéric Burdet, et al.. (2014). Functional importance of cardiac enhancer-associated noncoding RNAs in heart development and disease. Journal of Molecular and Cellular Cardiology. 76. 55–70. 96 indexed citations
18.
Sheta, Razan & Dimcho Bachvarov. (2014). Role of aberrant glycosylation in ovarian cancer dissemination. Biomedical Reviews. 25(0). 83–83. 5 indexed citations
19.
Srivastava, Deepak P., Pamela Arstikaitis, Razan Sheta, et al.. (2009). Myosin-Va-interacting protein, RILPL2, controls cell shape and neuronal morphogenesis via Rac signaling. Journal of Cell Science. 122(20). 3810–3821. 29 indexed citations
20.
Sheta, Razan, et al.. (2002). Intestinal absorption and biodistribution of cosalane and its amino acid conjugates: novel anti-HIV agents. International Journal of Pharmaceutics. 231(2). 197–211. 3 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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