Taravat Ghafourian

2.5k total citations
74 papers, 1.9k citations indexed

About

Taravat Ghafourian is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Spectroscopy. According to data from OpenAlex, Taravat Ghafourian has authored 74 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 22 papers in Pharmaceutical Science and 21 papers in Spectroscopy. Recurrent topics in Taravat Ghafourian's work include Computational Drug Discovery Methods (24 papers), Analytical Chemistry and Chromatography (21 papers) and Crystallization and Solubility Studies (18 papers). Taravat Ghafourian is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Analytical Chemistry and Chromatography (21 papers) and Crystallization and Solubility Studies (18 papers). Taravat Ghafourian collaborates with scholars based in United Kingdom, Iran and United States. Taravat Ghafourian's co-authors include Ali Nokhodchi, Alex A. Freitas, Mohammad Barzegar-Jalali, Javad Shokri, Danielle Newby, D Hassanzadeh, Abolghasem Jouyban, John C. Dearden, M Cronin and Mohammad‐Reza Rashidi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and Carbohydrate Polymers.

In The Last Decade

Taravat Ghafourian

73 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taravat Ghafourian United Kingdom 27 653 437 394 357 348 74 1.9k
Krisztina Takács‐Novák Hungary 28 692 1.1× 302 0.7× 620 1.6× 587 1.6× 816 2.3× 83 2.9k
Oksana Tsinman United States 22 773 1.2× 166 0.4× 387 1.0× 374 1.0× 360 1.0× 28 1.6k
Anuradha Gajjar India 11 596 0.9× 167 0.4× 396 1.0× 435 1.2× 261 0.8× 47 1.9k
Jignasa Savjani India 10 601 0.9× 154 0.4× 366 0.9× 461 1.3× 233 0.7× 28 1.8k
Renu Chadha India 28 636 1.0× 113 0.3× 448 1.1× 916 2.6× 269 0.8× 123 2.5k
Ajaz Hussain United States 22 1.2k 1.8× 137 0.3× 394 1.0× 400 1.1× 371 1.1× 63 2.7k
Teresa Garrigues Spain 24 789 1.2× 198 0.5× 393 1.0× 71 0.2× 200 0.6× 60 1.7k
Sophie Martel Switzerland 21 169 0.3× 224 0.5× 578 1.5× 114 0.3× 382 1.1× 48 1.4k
Ayman El‐Kattan United States 33 577 0.9× 405 0.9× 697 1.8× 86 0.2× 253 0.7× 53 3.2k
Richard J. Prankerd Australia 21 237 0.4× 188 0.4× 392 1.0× 101 0.3× 134 0.4× 67 1.3k

Countries citing papers authored by Taravat Ghafourian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Nokhodchi, Ali, et al.. (2024). Magnetic microscale polymeric nanocomposites in drug delivery: advances and challenges. Drug Discovery Today. 30(1). 104276–104276. 4 indexed citations
2.
Monajjemzadeh, Farnaz, et al.. (2024). Compatibility study of formoterol fumarate-lactose dry powder inhalation formulations: Spray drying, physical mixture and commercial DPIs. Journal of Drug Delivery Science and Technology. 95. 105538–105538. 5 indexed citations
3.
4.
Nokhodchi, Ali, et al.. (2023). In Vitro Dissolution and Permeability Testing of Inhalation Products: Challenges and Advances. Pharmaceutics. 15(3). 983–983. 17 indexed citations
5.
Walker, Paul, et al.. (2023). Risk Assessment of Psychotropic Drugs on Mitochondrial Function Using In Vitro Assays. Biomedicines. 11(12). 3272–3272. 3 indexed citations
6.
Moore, Anthony L., et al.. (2022). Prediction of drug-induced mitochondrial dysfunction using succinate-cytochrome c reductase activity, QSAR and molecular docking. Toxicology. 485. 153412–153412. 16 indexed citations
7.
Lam, Matthew, Taravat Ghafourian, & Ali Nokhodchi. (2020). Liquisolid System and Liqui-Mass System Are Not the Same. AAPS PharmSciTech. 21(3). 105–105. 9 indexed citations
8.
Lam, Matthew, Taravat Ghafourian, & Ali Nokhodchi. (2019). Liqui-Pellet: the Emerging Next-Generation Oral Dosage Form Which Stems from Liquisolid Concept in Combination with Pelletization Technology. AAPS PharmSciTech. 20(6). 231–231. 33 indexed citations
9.
Lam, Matthew, Taravat Ghafourian, & Ali Nokhodchi. (2019). Optimising the release rate of naproxen liqui-pellet: a new technology for emerging novel oral dosage form. Drug Delivery and Translational Research. 10(1). 43–58. 27 indexed citations
10.
Michaelis, Martin, et al.. (2014). Karanjin interferes with ABCB1, ABCC1, and ABCG2. Journal of Pharmacy & Pharmaceutical Sciences. 17(1). 92–92. 25 indexed citations
11.
Löschmann, Nadine, Martin Michaelis, Florian Rothweiler, et al.. (2013). Testing of SNS-032 in a Panel of Human Neuroblastoma Cell Lines with Acquired Resistance to a Broad Range of Drugs. Translational Oncology. 6(6). 685–IN18. 23 indexed citations
12.
Ghafourian, Taravat, et al.. (2013). Estimation of Biliary Excretion of Foreign Compounds Using Properties of Molecular Structure. The AAPS Journal. 16(1). 65–78. 24 indexed citations
13.
Ojo, Oluwafemi Adeleke, et al.. (2013). Evaluation of QSAR and ligand enzyme docking for the identification of ABCB1 substrates. Kent Academic Repository (University of Kent). 1 indexed citations
14.
Jouyban, Abolghasem, et al.. (2009). Solubility prediction of paracetamol in water-glycerol mixtures at 25 and 30 °c using the jouyban-acree model. Figshare. 12 indexed citations
15.
Dastmalchi, Siavoush, Maryam Hamzeh‐Mivehroud, Taravat Ghafourian, & Hossein Hamzeiy. (2007). Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists. Journal of Molecular Graphics and Modelling. 26(5). 834–844. 30 indexed citations
16.
17.
Nokhodchi, Ali, et al.. (2003). The enhancement effect of surfactants on the penetration of lorazepam through rat skin. International Journal of Pharmaceutics. 250(2). 359–369. 127 indexed citations
18.
Ghafourian, Taravat & Mohammad Barzegar-Jalali. (2002). Theoretical modeling of oral absorption of barbiturates. Il Farmaco. 57(7). 565–567. 6 indexed citations
19.
Nokhodchi, Ali, et al.. (2002). The effect of glycyrrhizin on the release rate and skin penetration of diclofenac sodium from topical formulations. Il Farmaco. 57(11). 883–888. 32 indexed citations
20.
Nokhodchi, Ali, et al.. (1999). The role of various surfactants and fillers in controlling the release rate of theophylline from HPMC matrices. Figshare. 9(6). 555–560. 12 indexed citations

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.

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