Rana Mroue

1.7k total citations
10 papers, 715 citations indexed

About

Rana Mroue is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Rana Mroue has authored 10 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Rana Mroue's work include Connexins and lens biology (4 papers), Cancer Cells and Metastasis (3 papers) and Cell Adhesion Molecules Research (2 papers). Rana Mroue is often cited by papers focused on Connexins and lens biology (4 papers), Cancer Cells and Metastasis (3 papers) and Cell Adhesion Molecules Research (2 papers). Rana Mroue collaborates with scholars based in United States, Lebanon and Spain. Rana Mroue's co-authors include Mina J. Bissell, Marwan El‐Sabban, Rabih Talhouk, Hashem A. Dbouk, Hidetoshi Mori, Kandice Tanner, Alexandre Bruni‐Cardoso, Douglas Brownfield, Virginia A. Spencer and Celeste M. Nelson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Developmental Biology.

In The Last Decade

Rana Mroue

9 papers receiving 708 citations

Peers

Rana Mroue

MB

CB

BE

ONCOL

IA

Weiyang Jin China

Sevi Durdu Germany

Damien Garbett United States

Toru Hiratsuka Japan

Shailaja Seetharaman France

Nieves Movilla Spain

Roberto Villaseñor Switzerland

Pierre‐Olivier Strale France

Fabian Oceguera-Yañez Japan

Vasudha Srivastava United States

Weiyang Jin China

Rana Mroue

320 ×0.8

MB

254 ×1.1

CB

149 ×0.8

BE

219 ×1.4

ONCOL

108 ×1.7

IA

Citations per year, relative to Rana Mroue Rana Mroue (= 1×) peers Weiyang Jin

Countries citing papers authored by Rana Mroue

Since Specialization

Citations

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

Fields of papers citing papers by Rana Mroue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rana Mroue

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

All Works

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10 of 10 papers shown

1.

Shanahan, Fergus, Logan Brooks, Eva Lin, et al.. (2024). Computational Modeling of Drug Response Identifies Mutant-Specific Constraints for Dosing panRAF and MEK Inhibitors in Melanoma. Cancers. 16(16). 2914–2914.

2.

Taylur, P., Anita Izrael-Tomasevic, Rana Mroue, et al.. (2023). AzidoTMT Enables Direct Enrichment and Highly Multiplexed Quantitation of Proteome-Wide Functional Residues. Journal of Proteome Research. 22(7). 2218–2231. 6 indexed citations

3.

Mroue, Rana, Brian Z. Huang, Steve Braunstein, Ari J. Firestone, & Jean L. Nakamura. (2015). Monoallelic Loss of the Imprinted Gene Grb10 Promotes Tumor Formation in Irradiated Nf1+/- Mice. PLoS Genetics. 11(5). e1005235–e1005235. 11 indexed citations

4.

Mroue, Rana, Jamie L. Inman, Joni D. Mott, Irina Budunova, & Mina J. Bissell. (2014). Asymmetric expression of connexins between luminal epithelial- and myoepithelial- cells is essential for contractile function of the mammary gland. Developmental Biology. 399(1). 15–26. 26 indexed citations

5.

Mroue, Rana & Mina J. Bissell. (2012). Three-Dimensional Cultures of Mouse Mammary Epithelial Cells. Methods in molecular biology. 945. 221–250. 87 indexed citations

6.

Tanner, Kandice, Hidetoshi Mori, Rana Mroue, Alexandre Bruni‐Cardoso, & Mina J. Bissell. (2012). Coherent angular motion in the establishment of multicellular architecture of glandular tissues. Proceedings of the National Academy of Sciences. 109(6). 1973–1978. 152 indexed citations

7.

Mroue, Rana, Marwan El‐Sabban, & Rabih Talhouk. (2011). Connexins and the gap in context. Integrative Biology. 3(4). 255–255. 26 indexed citations

8.

Dbouk, Hashem A., Rana Mroue, Marwan El‐Sabban, & Rabih Talhouk. (2009). Connexins: a myriad of functions extending beyond assembly of gap junction channels. Cell Communication and Signaling. 7(1). 4–4. 208 indexed citations

9.

Talhouk, Rabih, Rana Mroue, Mayssa H. Mokalled, et al.. (2008). Heterocellular interaction enhances recruitment of α and β-catenins and ZO-2 into functional gap-junction complexes and induces gap junction-dependant differentiation of mammary epithelial cells. Experimental Cell Research. 314(18). 3275–3291. 49 indexed citations

10.

Alcaraz, Jordi, Ren Xu, Hidetoshi Mori, et al.. (2008). Laminin and biomimetic extracellular elasticity enhance functional differentiation in mammary epithelia. The EMBO Journal. 27(21). 2829–2838. 150 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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