Moataz Reda
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Nanoplatforms for cancer theranostics 8
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- Advanced biosensing and bioanalysis techniques 5
- RNA Interference and Gene Delivery 5
- Co-authors
- Wassana Yantasee (20 shared papers)Worapol Ngamcherdtrakul (19 shared papers)Joe W. Gray (12 shared papers)Shenda Gu (10 shared papers)Thanapon Sangvanich (7 shared papers)David J. Castro (7 shared papers)Daniel S. Bejan (7 shared papers)Jingga Morry (7 shared papers)
- Journals
- Small (3 papers)Advanced Functional Materials (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Moataz Reda
20 papers receiving 763 citations
Moataz Reda's Hit Papers
Peers
Comparison fields: 5 of 76
- Biomaterials 228
- Oncology 175
- Biomedical Engineering 280
- Immunology 132
- Molecular Biology 399
Countries citing papers authored by Moataz Reda
This map shows the geographic impact of Moataz Reda'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 Moataz Reda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moataz Reda more than expected).
Fields of papers citing papers by Moataz Reda
This network shows the impact of papers produced by Moataz Reda. 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 Moataz Reda. The network helps show where Moataz Reda may publish in the future.
Co-authors
The 25 scholars most cited alongside Moataz Reda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 167 | |
| 2 | Development of a nanoparticle-based immunotherapy targeting PD-L1 and PLK1 for lung cancer treatment Hit paper breakdown → | 2022 | 140 |
| 3 | 2021 | 61 | |
| 4 | 2019 | 56 | |
| 5 | 2015 | 56 | |
| 6 | 2018 | 55 | |
| 7 | 2017 | 51 | |
| 8 | 2022 | 42 | |
| 9 | 2016 | 38 | |
| 10 | 2016 | 23 | |
| 11 | 2018 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 6 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2022 | 1 |
About Moataz Reda
Moataz Reda is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Biomaterials and Immunology, having authored 21 papers that have together received 766 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Nanoparticle-Based Drug Delivery (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (3 papers), HER2/EGFR in Cancer Research (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Biomaterials (228 citations), Oncology (175 citations), Biomedical Engineering (280 citations), Immunology (132 citations) and Molecular Biology (399 citations). Moataz Reda has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Wassana Yantasee, Worapol Ngamcherdtrakul, Joe W. Gray, Shenda Gu, Thanapon Sangvanich, David J. Castro, Daniel S. Bejan, Jingga Morry, Shaun M. Goodyear and Natnaree Siriwon. Their work appears in journals such as Small, Advanced Functional Materials, Cancer Research, Molecular Cancer Therapeutics and Scientific Reports.
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.