Wafa’ T. Al-Jamal
- Biomedical Engineering top 2%
- Biomaterials top 0.5%
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Pharmaceutical Science top 2%
- Co-authors
- Kostas KostarelosKhuloud T. Al‐JamalJulie WangZahraa S. Al-AhmadyCalvin C.L. CheungJeroen Van den BosscheBowen TianNoelia Rubio
- Topics
- Nanoparticle-Based Drug Delivery (28 papers)RNA Interference and Gene Delivery (22 papers)Nanoplatforms for cancer theranostics (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- United KingdomItalyChina
In The Last Decade
Wafa’ T. Al-Jamal
64 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Biomedical Engineering 1.4k
- Biomaterials 1.4k
- Molecular Biology 1.3k
- Materials Chemistry 680
- Pharmaceutical Science 198
Countries citing papers authored by Wafa’ T. Al-Jamal
This map shows the geographic impact of Wafa’ T. Al-Jamal'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 Wafa’ T. Al-Jamal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wafa’ T. Al-Jamal more than expected).
Fields of papers citing papers by Wafa’ T. Al-Jamal
This network shows the impact of papers produced by Wafa’ T. Al-Jamal. 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 Wafa’ T. Al-Jamal. The network helps show where Wafa’ T. Al-Jamal may publish in the future.
Co-authorship network of co-authors of Wafa’ T. Al-Jamal
This figure shows the co-authorship network connecting the top 25 collaborators of Wafa’ T. Al-Jamal. A scholar is included among the top collaborators of Wafa’ T. Al-Jamal 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 Wafa’ T. Al-Jamal. Wafa’ T. Al-Jamal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 21 | |
| 6 | 44 | |
| 7 | 44 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 58 | |
| 11 | 28 | |
| 12 | 54 | |
| 13 | 25 | |
| 14 | 153 | |
| 15 | 48 | |
| 16 | 102 | |
| 17 | 92 | |
| 18 | 33 | |
| 19 | 40 | |
| 20 | 20 |
About Wafa’ T. Al-Jamal
Wafa’ T. Al-Jamal is a scholar working on Biomaterials, Biomedical Engineering and Molecular Biology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (28 papers), RNA Interference and Gene Delivery (22 papers) and Nanoplatforms for cancer theranostics (18 papers). The work is most often cited by research in Biomaterials (1.4k citations), Pharmaceutical Science (198 citations) and Biomedical Engineering (1.4k citations). Wafa’ T. Al-Jamal has collaborated with scholars based in United Kingdom, Italy and China. Frequent co-authors include Kostas Kostarelos, Khuloud T. Al‐Jamal, Julie Wang, Zahraa S. Al-Ahmady, Calvin C.L. Cheung, Jeroen Van den Bossche, Bowen Tian, Noelia Rubio, Sara Pereira and Andrew Cakebread. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.