Farshad Moradi Kashkooli
- Biomedical Engineering top 1%
- Biomaterials top 1%
- Mechanical Engineering top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Molecular Biology
- Co-authors
- M. SoltaniMohammad SouriS.A.M. MehryanMohammad GhalambazKobra GharaliMohammad Kiani ShahvandiMichael C. KoliosAli J. Chamkha
- Topics
- Nanoparticle-Based Drug Delivery (27 papers)Ultrasound and Hyperthermia Applications (17 papers)Nanoplatforms for cancer theranostics (12 papers)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Farshad Moradi Kashkooli
78 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Biomedical Engineering 1.6k
- Biomaterials 898
- Mechanical Engineering 851
- Renewable Energy, Sustainability and the Environment 502
- Molecular Biology 390
Countries citing papers authored by Farshad Moradi Kashkooli
This map shows the geographic impact of Farshad Moradi Kashkooli'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 Farshad Moradi Kashkooli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farshad Moradi Kashkooli more than expected).
Fields of papers citing papers by Farshad Moradi Kashkooli
This network shows the impact of papers produced by Farshad Moradi Kashkooli. 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 Farshad Moradi Kashkooli. The network helps show where Farshad Moradi Kashkooli may publish in the future.
Co-authorship network of co-authors of Farshad Moradi Kashkooli
This figure shows the co-authorship network connecting the top 25 collaborators of Farshad Moradi Kashkooli. A scholar is included among the top collaborators of Farshad Moradi Kashkooli 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 Farshad Moradi Kashkooli. Farshad Moradi Kashkooli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 24 | |
| 8 | 4 | |
| 9 | 114 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 39 | |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 34 | |
| 16 | 128 | |
| 17 | 39 | |
| 18 | 31 | |
| 19 | 2 | |
| 20 | 59 |
About Farshad Moradi Kashkooli
Farshad Moradi Kashkooli is a scholar working on Modeling and Simulation, Biomaterials and Biomedical Engineering, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (27 papers), Ultrasound and Hyperthermia Applications (17 papers) and Nanoplatforms for cancer theranostics (12 papers). The work is most often cited by research in Biomaterials (898 citations), Biomedical Engineering (1.6k citations) and Modeling and Simulation (160 citations). Farshad Moradi Kashkooli has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include M. Soltani, Mohammad Souri, S.A.M. Mehryan, M. Soltani, Mohammad Ghalambaz, Kobra Gharali, Mohammad Kiani Shahvandi, Michael C. Kolios, Ali J. Chamkha and Jatin Nathwani. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Cancer 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.