Ayman Sabry

610 total citations
26 papers, 410 citations indexed

About

Ayman Sabry is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Ayman Sabry has authored 26 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Ayman Sabry's work include Genetic and phenotypic traits in livestock (7 papers), Genetic diversity and population structure (4 papers) and Genomics and Phylogenetic Studies (3 papers). Ayman Sabry is often cited by papers focused on Genetic and phenotypic traits in livestock (7 papers), Genetic diversity and population structure (4 papers) and Genomics and Phylogenetic Studies (3 papers). Ayman Sabry collaborates with scholars based in Egypt, Saudi Arabia and Finland. Ayman Sabry's co-authors include Nina Schulman, Mohamed Mohamed Soliman, Adel Alkhedaide, G. Klemetsdal, K. Rönningen, Hossam Attia, Sigbjørn Lien, Hanne Gro Olsen, Dag Inge Våge and Luis Gomez‐Raya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Journal of Dairy Science.

In The Last Decade

Ayman Sabry

25 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayman Sabry Egypt 9 204 119 91 57 51 26 410
J. Bulla Slovakia 17 173 0.8× 81 0.7× 128 1.4× 145 2.5× 71 1.4× 58 671
F. Jı́lek Czechia 19 185 0.9× 167 1.4× 123 1.4× 222 3.9× 106 2.1× 64 998
Xingyong Chen China 16 137 0.7× 65 0.5× 65 0.7× 195 3.4× 10 0.2× 58 701
Fang-Nong Lai China 15 141 0.7× 39 0.3× 126 1.4× 224 3.9× 155 3.0× 17 627
Natascia Cocchia Italy 12 76 0.4× 101 0.8× 68 0.7× 116 2.0× 12 0.2× 45 567
Shanjiang Zhao China 15 76 0.4× 102 0.9× 52 0.6× 205 3.6× 21 0.4× 40 705
Mohammad Dadpasand Iran 13 228 1.1× 168 1.4× 44 0.5× 58 1.0× 20 0.4× 35 444
Liang Qu China 16 269 1.3× 24 0.2× 97 1.1× 124 2.2× 12 0.2× 38 649
L.F. Schütz United States 14 71 0.3× 88 0.7× 152 1.7× 148 2.6× 13 0.3× 44 463
Syed Shanaz India 9 114 0.6× 52 0.4× 56 0.6× 41 0.7× 15 0.3× 45 296

Countries citing papers authored by Ayman Sabry

Since Specialization
Citations

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

Fields of papers citing papers by Ayman Sabry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman Sabry

This figure shows the co-authorship network connecting the top 25 collaborators of Ayman Sabry. A scholar is included among the top collaborators of Ayman Sabry 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 Ayman Sabry. Ayman Sabry 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.
Rani, Preeti, et al.. (2025). Resilient wireless sensor networks in industrial contexts via energy-efficient optimization and trust-based secure routing. Peer-to-Peer Networking and Applications. 18(3). 3 indexed citations
2.
Gulia, Preeti, et al.. (2025). The security and vulnerability issues of blockchain technology: A SWOC analysis. Peer-to-Peer Networking and Applications. 18(4). 2 indexed citations
3.
4.
Sabry, Ayman, et al.. (2022). Neuroprotective effects of onion and garlic root extractsagainst Alzheimer’s disease in rats: antimicrobial,histopathological, and molecular studies. SHILAP Revista de lepidopterología. 103(2). 153–167. 12 indexed citations
5.
Sabry, Ayman, et al.. (2021). Assessment of genetic diversity among Egyptian and Saudi chicken ecotypes and local Egyptian chicken breeds using microsatellite markers. Journal of Environmental Biology. 42(1). 33–39. 2 indexed citations
6.
Sabry, Ayman, et al.. (2021). Genetic Diversity of Indigenous Chicken (Gallus Gallus domesticus) from Ecozones of Egypt and Kingdom of Saudi Arabia. Open Journal of Applied Sciences. 11(6). 775–787. 3 indexed citations
7.
Mazrou, Yasser S. A., et al.. (2020). Comparative molecular genetic diversity between Trichoderma spp. from Egypt and Saudi Arabia. Egyptian Journal of Biological Pest Control. 30(1). 5 indexed citations
8.
Essa, Mohamed A., et al.. (2018). Impact of direct acting antiviral drugs on HCV-related decompensated liver cirrhosis. Journal of Hepatology. 68. S544–S545. 2 indexed citations
9.
Alkhedaide, Adel, et al.. (2016). Protective effect of grape seed extract against cadmium-induced testicular dysfunction. Molecular Medicine Reports. 13(4). 3101–3109. 80 indexed citations
10.
Sabry, Ayman, et al.. (2015). Genetic characterization of local chicken from Taif region in Saudi Arabia using RAPD markers.. International Journal of Biosciences. 6(10). 142–148. 1 indexed citations
11.
Awad, Nabil S., et al.. (2015). Effect of altitude on some male fertility related traits in Saudi ovine and caprine species. Annals of Animal Science. 15(3). 641–653. 2 indexed citations
12.
Sabry, Ayman, et al.. (2015). Molecular Characterization of Some Popular Fish Species in Saudi Arabia. International Journal of Applied Sciences and Biotechnology. 3(2). 359–366. 3 indexed citations
13.
Abdel-Azeem, Ahmed M., Youssuf A. Gherbawy, & Ayman Sabry. (2014). Enzyme profiles and genotyping of Chaetomium globosum isolates from various substrates. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 150(3). 420–428. 23 indexed citations
14.
Sabry, Ayman, et al.. (2013). Najdi, Harri and Aradi Saudi Goat Breeds Possess Genetic Variation Required for Genetic Improvement. 5 indexed citations
15.
Awad, Nabil S., et al.. (2012). Association study between the dopamine-related candidate gene polymorphisms and ADHD among Saudi Arabia population via PCR technique. Molecular Biology Reports. 39(12). 11081–11086. 8 indexed citations
16.
Sabry, Ayman, et al.. (2011). Genetic analysis of somatic cell score in Danish dairy cattle using random regression test-day model. Livestock Science. 140(1-3). 95–102. 5 indexed citations
17.
Lund, Mogens Sandø, Goutam Sahana, L. Andersson‐Eklund, et al.. (2007). Joint Analysis of Quantitative Trait Loci for Clinical Mastitis and Somatic Cell Score on Five Chromosomes in Three Nordic Dairy Cattle Breeds. Journal of Dairy Science. 90(11). 5282–5290. 35 indexed citations
18.
Olsen, Hanne Gro, Luis Gomez‐Raya, Dag Inge Våge, et al.. (2002). A Genome Scan for Quantitative Trait Loci Affecting Milk Production in Norwegian Dairy Cattle. Journal of Dairy Science. 85(11). 3124–3130. 76 indexed citations
19.
Klungland, Helge, Ayman Sabry, B. Heringstad, et al.. (2001). Quantitative trait loci affecting clinical mastitis and somatic cell count in dairy cattle. Mammalian Genome. 12(11). 837–842. 99 indexed citations
20.
Klungland, Helge, Ayman Sabry, B. Heringstad, et al.. (2001). Quantitative trait loci affecting clinical mastitis and somatic cell count in dairy cattle. Mammalian Genome. 12(11). 837–842. 17 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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