Moe Elbadawi
- Biomedical Engineering top 5%
- Automotive Engineering top 2%
- Molecular Biology
- Mechanical Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Abdul W. BasitSimon GaisfordJun Jie OngÁlvaro GoyanesLaura E. McCoubreyThomas D. PollardMine OrluFrancesca K. H. Gavins
- Topics
- 3D Printing in Biomedical Research (15 papers)Innovative Microfluidic and Catalytic Techniques Innovation (12 papers)Additive Manufacturing and 3D Printing Technologies (10 papers)
- Partner nations
- United KingdomSpainSaudi Arabia
In The Last Decade
Moe Elbadawi
38 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Biomedical Engineering 821
- Automotive Engineering 500
- Molecular Biology 320
- Mechanical Engineering 166
- Computational Theory and Mathematics 154
Countries citing papers authored by Moe Elbadawi
This map shows the geographic impact of Moe Elbadawi'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 Moe Elbadawi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moe Elbadawi more than expected).
Fields of papers citing papers by Moe Elbadawi
This network shows the impact of papers produced by Moe Elbadawi. 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 Moe Elbadawi. The network helps show where Moe Elbadawi may publish in the future.
Co-authorship network of co-authors of Moe Elbadawi
This figure shows the co-authorship network connecting the top 25 collaborators of Moe Elbadawi. A scholar is included among the top collaborators of Moe Elbadawi 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 Moe Elbadawi. Moe Elbadawi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 42 | |
| 7 | 30 | |
| 8 | 13 | |
| 9 | 23 | |
| 10 | 72 | |
| 11 | 6 | |
| 12 | 49 | |
| 13 | 128 | |
| 14 | 82 | |
| 15 | 32 | |
| 16 | 116 | |
| 17 | 59 | |
| 18 | 92 | |
| 19 | 1 | |
| 20 | Mechanical and physical properties of particleboards made from Ailanthus wood and UF resin fortified by Acacias tannins blend | 19 |
About Moe Elbadawi
Moe Elbadawi is a scholar working on Health Informatics, Biophysics and Automotive Engineering, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (15 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). The work is most often cited by research in Health Informatics (70 citations), Automotive Engineering (500 citations) and Biomedical Engineering (821 citations). Moe Elbadawi has collaborated with scholars based in United Kingdom, Spain and Saudi Arabia. Frequent co-authors include Abdul W. Basit, Simon Gaisford, Jun Jie Ong, Álvaro Goyanes, Laura E. McCoubrey, Thomas D. Pollard, Mine Orlu, Francesca K. H. Gavins, Atheer Awad and Sarah J. Trenfield. Their work appears in journals such as Advanced Functional Materials, Advanced Drug Delivery Reviews and Journal of Controlled Release.
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.