Ayman Khdair
- Biomaterials top 2%
- Biomedical Engineering top 5%
- Molecular Biology
- Materials Chemistry
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Jayanth PanyamMahesh D. ChavanpatilYogesh PatilLinan MaMalathy P.V. ShekharHitesh HandaGuangzhao MaoUdaya S. Toti
- Topics
- Nanoparticle-Based Drug Delivery (6 papers)Advanced Drug Delivery Systems (5 papers)Nanoplatforms for cancer theranostics (5 papers)
- Partner nations
- JordanUnited StatesPalestinian Territory
In The Last Decade
Ayman Khdair
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Biomaterials 554
- Biomedical Engineering 530
- Molecular Biology 374
- Materials Chemistry 230
- Pulmonary and Respiratory Medicine 218
Countries citing papers authored by Ayman Khdair
This map shows the geographic impact of Ayman Khdair'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 Ayman Khdair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayman Khdair more than expected).
Fields of papers citing papers by Ayman Khdair
This network shows the impact of papers produced by Ayman Khdair. 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 Ayman Khdair. The network helps show where Ayman Khdair may publish in the future.
Co-authorship network of co-authors of Ayman Khdair
This figure shows the co-authorship network connecting the top 25 collaborators of Ayman Khdair. A scholar is included among the top collaborators of Ayman Khdair 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 Ayman Khdair. Ayman Khdair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 68 | |
| 3 | 3 | |
| 4 | Antiproliferative Activity of Selected Non-Steroidal Anti-Inflammatory Agents: Role of Iron Complexes | 1 |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 35 | |
| 9 | A Simple and Rapid HPLC-UV Method for the Determination of Umckalin, as an Herbal Marker, in the Cough Syrup of Pelargonium Extract | 1 |
| 10 | 7 | |
| 11 | 20 | |
| 12 | 228 | |
| 13 | 110 | |
| 14 | 186 | |
| 15 | 91 | |
| 16 | 96 | |
| 17 | 80 | |
| 18 | 100 | |
| 19 | 124 |
About Ayman Khdair
Ayman Khdair is a scholar working on Pharmaceutical Science, Biomaterials and Geriatrics and Gerontology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), Advanced Drug Delivery Systems (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Biomaterials (554 citations), Pharmaceutical Science (203 citations) and Biomedical Engineering (530 citations). Ayman Khdair has collaborated with scholars based in Jordan, United States and Palestinian Territory. Frequent co-authors include Jayanth Panyam, Mahesh D. Chavanpatil, Yogesh Patil, Linan Ma, Malathy P.V. Shekhar, Hitesh Handa, Guangzhao Mao, Udaya S. Toti, Q. Ping Dou and Di Chen. Their work appears in journals such as Biomaterials, Journal of Controlled Release and Pharmaceutical 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.