Mona Shehata

2.0k total citations
24 papers, 1.3k citations indexed

About

Mona Shehata is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mona Shehata has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Genetics. Recurrent topics in Mona Shehata's work include Cancer Cells and Metastasis (9 papers), Genomics and Chromatin Dynamics (4 papers) and Single-cell and spatial transcriptomics (3 papers). Mona Shehata is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Genomics and Chromatin Dynamics (4 papers) and Single-cell and spatial transcriptomics (3 papers). Mona Shehata collaborates with scholars based in United Kingdom, Australia and Egypt. Mona Shehata's co-authors include Julia Stingl, Carlos Caldas, Michael Prater, Jennifer A. Byrne, Susan Fanayan, I. Alasdair Russell, Reiner Schulte, Rajshekhar R. Giraddi, Christine J. Watson and Rose Boutros and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Clinical Cancer Research.

In The Last Decade

Mona Shehata

24 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Shehata United Kingdom 16 768 526 269 197 160 24 1.3k
Rachel A. Altura United States 25 1.3k 1.7× 590 1.1× 189 0.7× 270 1.4× 122 0.8× 48 1.9k
Angela Celetti Italy 27 1.0k 1.3× 561 1.1× 221 0.8× 115 0.6× 89 0.6× 44 1.5k
Miaofen G. Hu United States 16 675 0.9× 466 0.9× 259 1.0× 128 0.6× 75 0.5× 28 1.2k
Cara C. Bertozzi United States 6 479 0.6× 337 0.6× 237 0.9× 129 0.7× 139 0.9× 8 958
C. Pennington United Kingdom 3 510 0.7× 438 0.8× 329 1.2× 135 0.7× 79 0.5× 4 1.1k
Liat Drucker Israel 20 537 0.7× 320 0.6× 203 0.8× 109 0.6× 248 1.6× 71 1.1k
David F. Allison United States 14 1.2k 1.5× 235 0.4× 203 0.8× 144 0.7× 115 0.7× 16 1.4k
Reyno Delrosario United States 17 1.1k 1.5× 655 1.2× 372 1.4× 128 0.6× 50 0.3× 20 1.7k
Gabriel Bretones Spain 16 761 1.0× 323 0.6× 181 0.7× 130 0.7× 68 0.4× 24 1.1k
Abdullah Mahmood Ali United States 20 1.5k 1.9× 244 0.5× 309 1.1× 116 0.6× 319 2.0× 60 2.0k

Countries citing papers authored by Mona Shehata

Since Specialization
Citations

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

Fields of papers citing papers by Mona Shehata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Shehata

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Shehata. A scholar is included among the top collaborators of Mona Shehata 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 Mona Shehata. Mona Shehata 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.
Gray, G. Kenneth, Li Ren Kong, Komal Gupta, et al.. (2023). A transcriptional response to replication stress selectively expands a subset of Brca2-mutant mammary epithelial cells. Nature Communications. 14(1). 5206–5206. 3 indexed citations
2.
Renaudin, Xavier, et al.. (2021). BRCA2 deficiency reveals that oxidative stress impairs RNaseH1 function to cripple mitochondrial DNA maintenance. Cell Reports. 36(5). 109478–109478. 27 indexed citations
3.
Schulte, Reiner, et al.. (2021). High-throughput surface marker screen on primary human breast tissues reveals further cellular heterogeneity. Breast Cancer Research. 23(1). 66–66. 8 indexed citations
4.
Bach, Karsten, Sara Pensa, Katarzyna Kania, et al.. (2021). Time-resolved single-cell analysis of Brca1 associated mammary tumourigenesis reveals aberrant differentiation of luminal progenitors. Nature Communications. 12(1). 1502–1502. 35 indexed citations
5.
Shehata, Mona, Hye‐Yeon Kim, Ravi N. Vellanki, et al.. (2019). Identifying the murine mammary cell target of metformin exposure. Communications Biology. 2(1). 192–192. 5 indexed citations
6.
Shehata, Mona, et al.. (2018). Proliferative heterogeneity of murine epithelial cells in the adult mammary gland. Communications Biology. 1(1). 111–111. 18 indexed citations
7.
Tarulli, Gerard A., Geraldine Laven‐Law, Mona Shehata, et al.. (2018). Androgen Receptor Signalling Promotes a Luminal Phenotype in Mammary Epithelial Cells. Journal of Mammary Gland Biology and Neoplasia. 24(1). 99–108. 7 indexed citations
8.
Shehata, Mona & Julia Stingl. (2016). Purification of Distinct Subsets of Epithelial Cells from Normal Human Breast Tissue. Methods in molecular biology. 1501. 261–276. 4 indexed citations
9.
Wilson, Nicola K., David G. Kent, Florian Buettner, et al.. (2015). Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations. Cell stem cell. 16(6). 712–724. 320 indexed citations
10.
Giraddi, Rajshekhar R., Mona Shehata, Mercedes Gallardo, et al.. (2015). Stem and progenitor cell division kinetics during postnatal mouse mammary gland development. Nature Communications. 6(1). 8487–8487. 59 indexed citations
11.
Saad, Mohamed I., et al.. (2015). Similar and Additive Effects of Ovariectomy and Diabetes on Insulin Resistance and Lipid Metabolism. Biochemistry Research International. 2015. 1–8. 52 indexed citations
12.
Prater, Michael, Valérie Petit, I. Alasdair Russell, et al.. (2014). Mammary stem cells have myoepithelial cell properties. Nature Cell Biology. 16(10). 942–950. 172 indexed citations
13.
Shehata, Mona, Renée van Amerongen, Amber L. Zeeman, Rajshekhar R. Giraddi, & Julia Stingl. (2014). The influence of tamoxifen on normal mouse mammary gland homeostasis. Breast Cancer Research. 16(4). 411–411. 34 indexed citations
14.
Prater, Michael, Mona Shehata, Christine J. Watson, & Julia Stingl. (2012). Enzymatic Dissociation, Flow Cytometric Analysis, and Culture of Normal Mouse Mammary Tissue. Methods in molecular biology. 946. 395–409. 30 indexed citations
15.
Madrid, Ricardo, Juan Aranda, Alejo Rodriguez-Fraticelli, et al.. (2010). The Formin INF2 Regulates Basolateral-to-Apical Transcytosis and Lumen Formation in Association with Cdc42 and MAL2. Developmental Cell. 18(5). 814–827. 73 indexed citations
16.
Shehata, Mona, Ivan Bièche, Rose Boutros, et al.. (2008). Nonredundant Functions for Tumor Protein D52-Like Proteins Support Specific Targeting of TPD52. Clinical Cancer Research. 14(16). 5050–5060. 52 indexed citations
17.
Shehata, Mona & Maher A. Kamel. (2008). Protective effect of antioxidant adjuvant treatment with hormone replacement therapy against cardiovascular diseases in ovariectomized rats.. PubMed. 42(2-3). 69–75. 10 indexed citations
18.
Shehata, Mona, et al.. (2008). Tumor Protein D52 Overexpression and Gene Amplification in Cancers from a Mosaic of Microarrays. Critical Reviews™ in Oncogenesis. 14(1). 33–55. 19 indexed citations
19.
Boutros, Rose, Susan Fanayan, Mona Shehata, & Jennifer A. Byrne. (2004). The tumor protein D52 family: many pieces, many puzzles. Biochemical and Biophysical Research Communications. 325(4). 1115–1121. 73 indexed citations
20.
Hussein, Ahmed, et al.. (2001). Computerized anal vector manometric analysis in patients treated by tailored lateral spincterotomy for anal fissure. Techniques in Coloproctology. 4(3). 143–149. 1 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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