Mohamed I. Elashry

702 total citations
32 papers, 528 citations indexed

About

Mohamed I. Elashry is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Mohamed I. Elashry has authored 32 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Surgery. Recurrent topics in Mohamed I. Elashry's work include Muscle Physiology and Disorders (16 papers), Mesenchymal stem cell research (10 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Mohamed I. Elashry is often cited by papers focused on Muscle Physiology and Disorders (16 papers), Mesenchymal stem cell research (10 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Mohamed I. Elashry collaborates with scholars based in Germany, Egypt and United Kingdom. Mohamed I. Elashry's co-authors include Stefan Arnhold, Sabine Wenisch, Ketan Patel, Antonios Matsakas, Anthony Otto, Manuela Heimann, Raymond Macharia, Keith Foster, George Dickson and Florian Geburek and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Physiology-Endocrinology and Metabolism and International Journal of Biological Macromolecules.

In The Last Decade

Mohamed I. Elashry

32 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed I. Elashry Germany 14 367 153 131 92 83 32 528
Michael J. Petrany United States 7 535 1.5× 123 0.8× 82 0.6× 82 0.9× 68 0.8× 8 621
Claire Latroche France 9 454 1.2× 158 1.0× 126 1.0× 51 0.6× 174 2.1× 12 647
Manuel Schmidt Germany 8 379 1.0× 122 0.8× 76 0.6× 48 0.5× 101 1.2× 11 495
Suchitra D. Gopinath India 8 475 1.3× 166 1.1× 110 0.8× 72 0.8× 113 1.4× 11 604
Meryem B. Baghdadi France 8 435 1.2× 97 0.6× 75 0.6× 61 0.7× 166 2.0× 8 565
Małgorzata Zimowska Poland 15 401 1.1× 78 0.5× 99 0.8× 73 0.8× 180 2.2× 23 581
Maximilien Bencze France 10 485 1.3× 130 0.8× 114 0.9× 57 0.6× 156 1.9× 18 583
Alessio Rotini Italy 8 316 0.9× 80 0.5× 87 0.7× 36 0.4× 81 1.0× 11 423
Regan‐Heng Zhang Canada 6 605 1.6× 186 1.2× 194 1.5× 41 0.4× 209 2.5× 6 813
Roseline Yao France 5 723 2.0× 179 1.2× 195 1.5× 79 0.9× 231 2.8× 5 849

Countries citing papers authored by Mohamed I. Elashry

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed I. Elashry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed I. Elashry. 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 Mohamed I. Elashry. The network helps show where Mohamed I. Elashry may publish in the future.

Co-authorship network of co-authors of Mohamed I. Elashry

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed I. Elashry. A scholar is included among the top collaborators of Mohamed I. Elashry 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 Mohamed I. Elashry. Mohamed I. Elashry 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.
Elashry, Mohamed I., et al.. (2025). Determination of the miRNA profile of extracellular vesicles from equine mesenchymal stem cells after different treatments. Stem Cell Research & Therapy. 16(1). 162–162. 1 indexed citations
2.
Elashry, Mohamed I., Vanessa Schneider, Manuela Heimann, Sabine Wenisch, & Stefan Arnhold. (2025). CRISPR/Cas9-Targeted Myostatin Deletion Improves the Myogenic Differentiation Parameters for Muscle-Derived Stem Cells in Mice. Journal of Developmental Biology. 13(1). 5–5. 2 indexed citations
3.
Elashry, Mohamed I., et al.. (2024). Extracellular Vesicles: A Novel Diagnostic Tool and Potential Therapeutic Approach for Equine Osteoarthritis. Current Issues in Molecular Biology. 46(11). 13078–13104. 1 indexed citations
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Elashry, Mohamed I., et al.. (2024). Effect of storage conditions on the quality of equine and canine mesenchymal stem cell derived nanoparticles including extracellular vesicles for research and therapy. SHILAP Revista de lepidopterología. 19(1). 80–80. 2 indexed citations
6.
Glenske, Kristina, Stefan Arnhold, Christian Heiß, et al.. (2024). Morphological and Immunohistochemical Characterization of Bone Structure and Cell–Cell Communication in a Rat Osteoporosis Model. SHILAP Revista de lepidopterología. 3(2). 93–109. 1 indexed citations
7.
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Hammam, Olfat, et al.. (2023). Comparative Study of DNA ploidy and BRAF Immunohistochemistry between Colonic Adenocarcinoma and Inflammatory Colonic Lesions. Asian Pacific Journal of Cancer Prevention. 24(4). 1389–1400. 3 indexed citations
9.
Elashry, Mohamed I., et al.. (2022). The effect of hypoxia on myogenic differentiation and multipotency of the skeletal muscle-derived stem cells in mice. Stem Cell Research & Therapy. 13(1). 56–56. 23 indexed citations
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Glenske, Kristina, Gerhard Schüler, Stefan Arnhold, et al.. (2019). Effects of testosterone and 17β-estradiol on osteogenic and adipogenic differentiation capacity of human bone-derived mesenchymal stromal cells of postmenopausal women. Bone Reports. 11. 100226–100226. 9 indexed citations
13.
Elashry, Mohamed I., et al.. (2019). Exosomes isolation and identification from equine mesenchymal stem cells. BMC Veterinary Research. 15(1). 42–42. 67 indexed citations
14.
Elashry, Mohamed I., et al.. (2019). Influence of mechanical fluid shear stress on the osteogenic differentiation protocols for Equine adipose tissue-derived mesenchymal stem cells. Acta Histochemica. 121(3). 344–353. 23 indexed citations
15.
Arnhold, Stefan, et al.. (2018). Biological macromolecules and mesenchymal stem cells: Basic research for regenerative therapies in veterinary medicine. International Journal of Biological Macromolecules. 123. 889–899. 13 indexed citations
16.
Elashry, Mohamed I., Manuela Heimann, Sabine Wenisch, Ketan Patel, & Stefan Arnhold. (2017). Multipotency of skeletal muscle stem cells on their native substrate and the expression of Connexin 43 during adoption of adipogenic and osteogenic fate. Acta Histochemica. 119(8). 786–794. 3 indexed citations
17.
Elashry, Mohamed I., et al.. (2017). Osteogenic differentiation of equine adipose tissue derived mesenchymal stem cells using CaCl2. Research in Veterinary Science. 117. 45–53. 10 indexed citations
18.
Elashry, Mohamed I., Antonios Matsakas, Sabine Wenisch, Stefan Arnhold, & Ketan Patel. (2017). The effect of caloric restriction on the forelimb skeletal muscle fibers of the hypertrophic myostatin null mice. Acta Histochemica. 119(5). 582–591. 9 indexed citations
19.
El‐Fattah, Ahmed Musaad Abd, et al.. (2013). Esthesioneuroblastoma: Mansoura University Hospitals’ experience with multimodality therapy in 10years. Egyptian Journal of Ear Nose Throat and Allied Sciences. 14(1). 17–22. 1 indexed citations
20.
Elashry, Mohamed I., et al.. (2011). Axon and muscle spindle hyperplasia in the myostatin null mouse. Journal of Anatomy. 218(2). 173–184. 12 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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