Hany E. Marei
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Pluripotent Stem Cells Research 3
- Extracellular vesicles in disease 2
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- 3D Printing in Biomedical Research 3
- Co-authors
- Anwarul Hasan (10 shared papers)Carlo Cenciarelli (12 shared papers)Giacomo Pozzoli (3 shared papers)Mohd Faizal Abdullah (1 shared paper)Nureddin Ashammakhi (1 shared paper)Alireza Dolatshahi‐Pirouz (1 shared paper)Goran M. Stojanović (1 shared paper)Muhammad Umar Aslam Khan (1 shared paper)
In The Last Decade
Hany E. Marei
19 papers receiving 578 citations
Hany E. Marei's Hit Papers
Peers
Comparison fields: 5 of 75
- Rehabilitation 61
- Biomaterials 131
- Molecular Medicine 43
- Oncology 180
- Cancer Research 44
Countries citing papers authored by Hany E. Marei
This map shows the geographic impact of Hany E. Marei'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 Hany E. Marei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hany E. Marei more than expected).
Fields of papers citing papers by Hany E. Marei
This network shows the impact of papers produced by Hany E. Marei. 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 Hany E. Marei. The network helps show where Hany E. Marei may publish in the future.
Co-authors
The 25 scholars most cited alongside Hany E. Marei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cancer immunotherapy with immune checkpoint inhibitors (ICIs): potential, mechanisms of resistance, and strategies for reinvigorating T cell responsiveness when resistance is acquired Hit paper breakdown → | 2023 | 158 |
| 2 | 2023 | 94 | |
| 3 | 2022 | 92 | |
| 4 | 2017 | 47 | |
| 5 | 2021 | 40 | |
| 6 | 2023 | 33 | |
| 7 | 2022 | 31 | |
| 8 | 2017 | 25 | |
| 9 | 2025 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 10 | |
| 12 | Xeno-free trans-differentiation of adipose tissue-derived mesenchymal stem cells into glial and neuronal cells. | 2019 | 10 |
| 13 | 2022 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2025 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2009 | 1 |
About Hany E. Marei
Hany E. Marei is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Genetics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 583 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), CAR-T cell therapy research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), MicroRNA in disease regulation (3 papers), 3D Printing in Biomedical Research (3 papers), Wound Healing and Treatments (2 papers), Extracellular vesicles in disease (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Rehabilitation (61 citations), Biomaterials (131 citations), Molecular Medicine (43 citations), Oncology (180 citations) and Cancer Research (44 citations). Hany E. Marei has collaborated with scholars based in Egypt, Qatar and Italy. Frequent co-authors include Anwarul Hasan, Carlo Cenciarelli, Giacomo Pozzoli, Mohd Faizal Abdullah, Nureddin Ashammakhi, Alireza Dolatshahi‐Pirouz, Goran M. Stojanović, Muhammad Umar Aslam Khan, Stefano Giannetti and Armando Felsani. Their work appears in journals such as Cancer Cell International, International Journal of Biological Macromolecules, Biomedicines, Arabian Journal of Chemistry and Cell and Tissue Research.
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.