Ahmad Vaez
Impact in
- Rehabilitation top 0.2%
- Wound Healing and Treatments
- Biomaterials top 0.5%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
Papers in
-
- Graphene and Nanomaterials Applications 15
- Bone Tissue Engineering Materials 10
- Nanoplatforms for cancer theranostics 9
- Biomaterials 27
- Electrospun Nanofibers in Biomedical Applications 20
- Silk-based biomaterials and applications 9
- Co-authors
- Saeed Farzamfar (20 shared papers)Majid Salehi (24 shared papers)Arian Ehterami (18 shared papers)Hadi Samadian (9 shared papers)Hamed Sahrapeyma (10 shared papers)Sadegh Ghorbani (7 shared papers)Milad Abbasi (29 shared papers)Arash Goodarzi (7 shared papers)
In The Last Decade
Ahmad Vaez
69 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 124
- Rehabilitation 704
- Biomaterials 1.2k
- Molecular Medicine 168
- Biomedical Engineering 882
- Pharmaceutical Science 85
Countries citing papers authored by Ahmad Vaez
This map shows the geographic impact of Ahmad Vaez'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 Ahmad Vaez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmad Vaez more than expected).
Fields of papers citing papers by Ahmad Vaez
This network shows the impact of papers produced by Ahmad Vaez. 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 Ahmad Vaez. The network helps show where Ahmad Vaez may publish in the future.
Co-authors
The 25 scholars most cited alongside Ahmad Vaez, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 224 | |
| 2 | 2018 | 182 | |
| 3 | 2019 | 152 | |
| 4 | 2017 | 139 | |
| 5 | 2018 | 112 | |
| 6 | 2022 | 100 | |
| 7 | 2023 | 81 | |
| 8 | 2020 | 81 | |
| 9 | 2020 | 74 | |
| 10 | 2020 | 71 | |
| 11 | 2017 | 68 | |
| 12 | 2019 | 63 | |
| 13 | 2017 | 60 | |
| 14 | 2024 | 55 | |
| 15 | 2017 | 55 | |
| 16 | 2023 | 51 | |
| 17 | 2023 | 47 | |
| 18 | 2022 | 45 | |
| 19 | 2019 | 44 | |
| 20 | 2022 | 43 |
About Ahmad Vaez
Ahmad Vaez is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Rehabilitation and Surgery, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (20 papers), Wound Healing and Treatments (16 papers), Graphene and Nanomaterials Applications (15 papers), MXene and MAX Phase Materials (12 papers), Bone Tissue Engineering Materials (10 papers), Silk-based biomaterials and applications (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Nerve injury and regeneration (7 papers). The work is most often cited by research in Rehabilitation (704 citations), Biomaterials (1.2k citations), Molecular Medicine (168 citations), Biomedical Engineering (882 citations) and Pharmaceutical Science (85 citations). Ahmad Vaez has collaborated with scholars based in Iran, India and Malaysia. Frequent co-authors include Saeed Farzamfar, Majid Salehi, Arian Ehterami, Hadi Samadian, Hamed Sahrapeyma, Sadegh Ghorbani, Milad Abbasi, Arash Goodarzi, Mahdi Naseri‐Nosar and Hesam Kamyab. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules, Applied Physics A, Journal of Bioactive and Compatible Polymers and Sensing and Bio-Sensing 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.