Shiva Irani
- Biomaterials top 0.5%
- Biomedical Engineering top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Mohammad Taghi KhorasaniMojgan ZandiSeyed Mohammad AtyabiHadi BakhshiHamid MirzadehFereshteh SharifiMohamad Pezeshki‐ModaressReza Mirfakhraie
- Topics
- Electrospun Nanofibers in Biomedical Applications (45 papers)Bone Tissue Engineering Materials (33 papers)MicroRNA in disease regulation (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEMacromolecules
- Partner nations
- IranGermanyUnited States
In The Last Decade
Shiva Irani
191 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 122
- Biomaterials 1.2k
- Biomedical Engineering 1.2k
- Molecular Biology 918
- Cancer Research 387
- Surgery 310
Countries citing papers authored by Shiva Irani
This map shows the geographic impact of Shiva Irani'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 Shiva Irani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiva Irani more than expected).
Fields of papers citing papers by Shiva Irani
This network shows the impact of papers produced by Shiva Irani. 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 Shiva Irani. The network helps show where Shiva Irani may publish in the future.
Co-authorship network of co-authors of Shiva Irani
This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Irani. A scholar is included among the top collaborators of Shiva Irani 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 Shiva Irani. Shiva Irani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 85 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | Electrospun biocompatible Gelatin-Chitosan/Polycaprolactone/Hydroxyapatite nanocomposite scaffold for bone tissue engineering | 6 |
| 12 | 39 | |
| 13 | 6 | |
| 14 | 26 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | Synthesis and Surface Modification of Polycaprolactone Nanofibers for Tissue Engineering | 4 |
| 19 | Design, construction and expression of recombinant vector containing the rabies virus nucleoprotein gene | 0 |
| 20 | Investigation of solvent effect and NMR shielding tensors of p53 tumor-suppressor gene in drug design | 1 |
About Shiva Irani
Shiva Irani is a scholar working on Biomaterials, Cancer Research and Virology, having authored 203 papers that have together received 3.1k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (45 papers), Bone Tissue Engineering Materials (33 papers) and MicroRNA in disease regulation (23 papers). The work is most often cited by research in Biomaterials (1.2k citations), Biomedical Engineering (1.2k citations) and Cancer Research (387 citations). Shiva Irani has collaborated with scholars based in Iran, Germany and United States. Frequent co-authors include Mohammad Taghi Khorasani, Mojgan Zandi, Seyed Mohammad Atyabi, Hadi Bakhshi, Hamid Mirzadeh, Fereshteh Sharifi, Mohamad Pezeshki‐Modaress, Reza Mirfakhraie, Abdolreza Ardeshirylajimi and Ehsan Seyedjafari. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Macromolecules.
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.