Khaled Nasr
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Molecular Biology
- Biomaterials top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- John V. FrangioniHak Soo ChoiPreeti MisraFangbing LiuWenhao LiuMoungi G. BawendiYoshitomo AshitateJeong Heon Lee
- Topics
- EEG and Brain-Computer Interfaces (7 papers)Neuroscience and Neural Engineering (6 papers)Neural dynamics and brain function (6 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionJournal of Neuroscience
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Khaled Nasr
39 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Biomedical Engineering 794
- Materials Chemistry 507
- Molecular Biology 457
- Biomaterials 374
- Radiology, Nuclear Medicine and Imaging 283
Countries citing papers authored by Khaled Nasr
This map shows the geographic impact of Khaled Nasr'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 Khaled Nasr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Nasr more than expected).
Fields of papers citing papers by Khaled Nasr
This network shows the impact of papers produced by Khaled Nasr. 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 Khaled Nasr. The network helps show where Khaled Nasr may publish in the future.
Co-authorship network of co-authors of Khaled Nasr
This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Nasr. A scholar is included among the top collaborators of Khaled Nasr 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 Khaled Nasr. Khaled Nasr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | 8 | |
| 9 | 61 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 44 | |
| 14 | 32 | |
| 15 | 32 | |
| 16 | 325 | |
| 17 | 20 | |
| 18 | Design Considerations for Tumor-Targeted Nanoparticles | 1 |
| 19 | 15 | |
| 20 | Design considerations for tumour-targeted nanoparticlesbreakdown → | 631 |
About Khaled Nasr
Khaled Nasr is a scholar working on Otorhinolaryngology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Biomaterials (374 citations), Biomedical Engineering (794 citations) and Radiology, Nuclear Medicine and Imaging (283 citations). Khaled Nasr has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include John V. Frangioni, Hak Soo Choi, Preeti Misra, Fangbing Liu, Wenhao Liu, Moungi G. Bawendi, Yoshitomo Ashitate, Jeong Heon Lee, Hoon Hyun and Maged Henary. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Neuroscience.
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.