Akmal A. El-Ghor

643 total citations
25 papers, 497 citations indexed

About

Akmal A. El-Ghor is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Akmal A. El-Ghor has authored 25 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Akmal A. El-Ghor's work include Nanoparticles: synthesis and applications (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Heavy Metal Exposure and Toxicity (3 papers). Akmal A. El-Ghor is often cited by papers focused on Nanoparticles: synthesis and applications (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Heavy Metal Exposure and Toxicity (3 papers). Akmal A. El-Ghor collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Akmal A. El-Ghor's co-authors include Salwa Sabet, Hanan R. H. Mohamed, Soheir M. El Nahas, Amany A. Tohamy, Haidan M. El-Shorbagy, Ahmed Galal, Heba Bassiony, Mohamed S. Hassanane, Mona Mostafa Mohamed and Taher A. Salah El-Din and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Akmal A. El-Ghor

24 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akmal A. El-Ghor Egypt 13 111 106 91 90 60 25 497
Bertrand H. Rihn France 16 106 1.0× 227 2.1× 94 1.0× 92 1.0× 80 1.3× 34 770
Jeong‐Hwan Che South Korea 12 212 1.9× 106 1.0× 121 1.3× 73 0.8× 49 0.8× 22 554
Xialu Lin China 13 164 1.5× 167 1.6× 114 1.3× 62 0.7× 49 0.8× 21 584
Kyoko Sakamoto Japan 14 74 0.7× 279 2.6× 108 1.2× 162 1.8× 32 0.5× 33 757
Xin Bing China 16 62 0.6× 254 2.4× 114 1.3× 95 1.1× 60 1.0× 34 724
Yanqiu Zhu China 12 111 1.0× 225 2.1× 63 0.7× 75 0.8× 43 0.7× 20 609
Yasuko Mizuta Japan 11 51 0.5× 95 0.9× 108 1.2× 92 1.0× 36 0.6× 25 358
Qiang Ju China 18 143 1.3× 192 1.8× 25 0.3× 71 0.8× 19 0.3× 57 1.3k
Yue Gao China 16 106 1.0× 337 3.2× 29 0.3× 64 0.7× 50 0.8× 41 734

Countries citing papers authored by Akmal A. El-Ghor

Since Specialization
Citations

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

Fields of papers citing papers by Akmal A. El-Ghor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akmal A. El-Ghor. 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 Akmal A. El-Ghor. The network helps show where Akmal A. El-Ghor may publish in the future.

Co-authorship network of co-authors of Akmal A. El-Ghor

This figure shows the co-authorship network connecting the top 25 collaborators of Akmal A. El-Ghor. A scholar is included among the top collaborators of Akmal A. El-Ghor 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 Akmal A. El-Ghor. Akmal A. El-Ghor 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.
Mohamed, Hanan R. H., et al.. (2023). Suppression of tumor growth and apoptosis induction by pomegranate seed nano-emulsion in mice bearing solid Ehrlich carcinoma cells. Scientific Reports. 13(1). 5525–5525. 7 indexed citations
2.
El-Ghor, Akmal A., et al.. (2023). Comparative analysis of Acomys cahirinus and Mus musculus responses to genotoxicity, oxidative stress, and inflammation. Scientific Reports. 13(1). 3989–3989. 2 indexed citations
3.
El-Shorbagy, Haidan M., et al.. (2022). Association of PRLR, IGF1, and LEP genes polymorphism with milk production and litter size in Egyptian Zaraibi goat. Tropical Animal Health and Production. 54(5). 321–321. 12 indexed citations
4.
El-Ghor, Akmal A., et al.. (2022). Association of new SNPs at DGAT1 gene with milk quality in Egyptian Zaraibi goat breed. Animal Biotechnology. 34(7). 2499–2504. 2 indexed citations
5.
El-Ghor, Akmal A., et al.. (2020). DGAT1 polymorphism in Egyptian Zaraibi goat breed and their association with milk yield and composition. SHILAP Revista de lepidopterología. 81(1). 7 indexed citations
6.
Mohamed, Hanan R. H., et al.. (2020). Induction of fetal abnormalities and genotoxicity by molybdenum nanoparticles in pregnant female mice and fetuses. Environmental Science and Pollution Research. 27(19). 23950–23962. 17 indexed citations
7.
Mohamed, Hanan R. H., et al.. (2019). Estimation of genomic instability and mutation induction by graphene oxide nanoparticles in mice liver and brain tissues. Environmental Science and Pollution Research. 27(1). 264–278. 18 indexed citations
8.
El-Shorbagy, Haidan M., et al.. (2019). <p>Apoptosis and oxidative stress as relevant mechanisms of antitumor activity and genotoxicity of ZnO-NPs alone and in combination with N-acetyl cysteine in tumor-bearing mice</p>. International Journal of Nanomedicine. Volume 14. 3911–3928. 39 indexed citations
9.
El-Shorbagy, Haidan M., et al.. (2018). magnetite nanoparticles induced fetal skeletal abnormalities dna damage and down regulation of pax 1 and tgfb2 genes in white albino rats. 1 indexed citations
10.
Ibrahim, Ayman M., et al.. (2018). Fibulin-2 is required for basement membrane integrity of mammary epithelium. Scientific Reports. 8(1). 14139–14139. 28 indexed citations
11.
Sabet, Salwa, et al.. (2018). Bone marrow derived-mesenchymal stem cells downregulate IL17A dependent IL6/STAT3 signaling pathway in CCl4-induced rat liver fibrosis. PLoS ONE. 13(10). e0206130–e0206130. 30 indexed citations
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14.
Bassiony, Heba, Salwa Sabet, Taher A. Salah El-Din, Mona Mostafa Mohamed, & Akmal A. El-Ghor. (2014). Magnetite Nanoparticles Inhibit Tumor Growth and Upregulate the Expression of P53/P16 in Ehrlich Solid Carcinoma Bearing Mice. PLoS ONE. 9(11). e111960–e111960. 31 indexed citations
15.
Hussien, Nahed Ahmed, et al.. (2013). Antiproliferative and apoptotic effects of grape seed extract on human colon cancer cell line HCT116.. 7(3). 206–215. 4 indexed citations
16.
Hassanane, Mohamed S., et al.. (2012). Genotoxic evaluation for the tricyclic antidepressant drug, amitriptyline. Drug and Chemical Toxicology. 35(4). 450–455. 20 indexed citations
17.
Kassem, Abdel Meguid, et al.. (2011). Mutational Hotspots in the Mitochondrial D-Loop Region of Cancerous and Precancerous Colorectal Lesions in Egyptian Patients. DNA and Cell Biology. 30(11). 899–906. 18 indexed citations
18.
El-Ghor, Akmal A., et al.. (2011). Lead acetate and arsenic trioxide induce instability of microsatellites at three different fragile sites (6q21, 9q32–9q33 and 15p14) within the genome of the rat. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 726(2). 195–199. 7 indexed citations
19.
El-Ghor, Akmal A., et al.. (2010). Microsatellite instability at three microsatellite loci (D6mit3, D9mit2 and D15Mgh1) located in different common fragile sites of rats exposed to cadmium. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 696(2). 160–166. 13 indexed citations
20.
Tohamy, Amany A., et al.. (2003). β-Glucan inhibits the genotoxicity of cyclophosphamide, adriamycin and cisplatin. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 541(1-2). 45–53. 60 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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