Taravat Ghafourian
- Pharmaceutical Science top 0.5%
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Materials Chemistry top 10%
- Spectroscopy top 2%
- Co-authors
- Ali NokhodchiMohammad Barzegar-JalaliAlex A. FreitasJavad ShokriDanielle NewbyD HassanzadehAbolghasem JouybanJohn C. Dearden
- Topics
- Computational Drug Discovery Methods (24 papers)Analytical Chemistry and Chromatography (21 papers)Crystallization and Solubility Studies (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Controlled ReleaseCarbohydrate Polymers
- Partner nations
- United KingdomIranUnited States
In The Last Decade
Taravat Ghafourian
73 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 153
- Pharmaceutical Science 653
- Computational Theory and Mathematics 437
- Molecular Biology 394
- Materials Chemistry 357
- Spectroscopy 348
Countries citing papers authored by Taravat Ghafourian
This map shows the geographic impact of Taravat Ghafourian'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 Taravat Ghafourian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taravat Ghafourian more than expected).
Fields of papers citing papers by Taravat Ghafourian
This network shows the impact of papers produced by Taravat Ghafourian. 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 Taravat Ghafourian. The network helps show where Taravat Ghafourian may publish in the future.
Co-authorship network of co-authors of Taravat Ghafourian
This figure shows the co-authorship network connecting the top 25 collaborators of Taravat Ghafourian. A scholar is included among the top collaborators of Taravat Ghafourian 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 Taravat Ghafourian. Taravat Ghafourian 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 | 4 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 27 | |
| 10 | 33 | |
| 11 | 23 | |
| 12 | 24 | |
| 13 | 34 | |
| 14 | Solubility prediction of paracetamol in water-glycerol mixtures at 25 and 30 °c using the jouyban-acree model | 12 |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 96 | |
| 18 | 2 | |
| 19 | 32 | |
| 20 | The role of various surfactants and fillers in controlling the release rate of theophylline from HPMC matrices | 12 |
About Taravat Ghafourian
Taravat Ghafourian is a scholar working on Pharmaceutical Science, Filtration and Separation and Computational Theory and Mathematics, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Analytical Chemistry and Chromatography (21 papers) and Crystallization and Solubility Studies (18 papers). The work is most often cited by research in Pharmaceutical Science (653 citations), Filtration and Separation (161 citations) and Computational Theory and Mathematics (437 citations). Taravat Ghafourian has collaborated with scholars based in United Kingdom, Iran and United States. Frequent co-authors include Ali Nokhodchi, Mohammad Barzegar-Jalali, Alex A. Freitas, Javad Shokri, Danielle Newby, D Hassanzadeh, Abolghasem Jouyban, John C. Dearden, M Cronin and Mohammad‐Reza Rashidi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and Carbohydrate Polymers.
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.