Aarti Patel

885 total citations
11 papers, 171 citations indexed

About

Aarti Patel is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Aarti Patel has authored 11 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Aarti Patel's work include Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Inhalation and Respiratory Drug Delivery (2 papers). Aarti Patel is often cited by papers focused on Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Inhalation and Respiratory Drug Delivery (2 papers). Aarti Patel collaborates with scholars based in United Kingdom, United States and China. Aarti Patel's co-authors include Jackie C. Bloomer, Shannon Dallas, Lei Zhang, Raymond Evers, Leslie J. Dickmann, Jane R. Kenny, Odette A. Fahmi, Eugenia Kraynov, J. Greg Slatter and Thuy Tran and has published in prestigious journals such as Journal of Medicinal Chemistry, Clinical Pharmacokinetics and Drug Metabolism and Disposition.

In The Last Decade

Aarti Patel

10 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aarti Patel United Kingdom 7 79 47 44 19 18 11 171
William D. Hedrich United States 8 73 0.9× 101 2.1× 64 1.5× 12 0.6× 18 1.0× 13 261
X.‐Y. Zhou China 10 90 1.1× 41 0.9× 84 1.9× 17 0.9× 19 1.1× 47 306
Anna Lundahl Sweden 10 106 1.3× 101 2.1× 83 1.9× 26 1.4× 39 2.2× 18 316
Carmen M. Dumaual United States 9 111 1.4× 78 1.7× 116 2.6× 19 1.0× 45 2.5× 9 368
Erio Barale-Thomas United States 8 37 0.5× 27 0.6× 75 1.7× 19 1.0× 10 0.6× 13 283
Kara Pearson United States 8 62 0.8× 23 0.5× 107 2.4× 33 1.7× 28 1.6× 15 311
Sharin E. Roth United States 12 105 1.3× 48 1.0× 88 2.0× 18 0.9× 19 1.1× 14 314
Nao Yoneda Japan 11 114 1.4× 62 1.3× 123 2.8× 8 0.4× 13 0.7× 29 288
Olivier Luttringer Switzerland 8 107 1.4× 89 1.9× 88 2.0× 41 2.2× 21 1.2× 13 330
Ian Mongrain Canada 10 66 0.8× 51 1.1× 101 2.3× 10 0.5× 14 0.8× 25 305

Countries citing papers authored by Aarti Patel

Since Specialization
Citations

This map shows the geographic impact of Aarti Patel'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 Aarti Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aarti Patel more than expected).

Fields of papers citing papers by Aarti Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aarti Patel. 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 Aarti Patel. The network helps show where Aarti Patel may publish in the future.

Co-authorship network of co-authors of Aarti Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Aarti Patel. A scholar is included among the top collaborators of Aarti Patel 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 Aarti Patel. Aarti Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Duong, Janna K., et al.. (2022). A physiologically based pharmacokinetic model of clopidogrel in populations of European and Japanese ancestry: An evaluation of CYP2C19 activity. Pharmacology Research & Perspectives. 10(2). e00946–e00946. 8 indexed citations
5.
Patel, Aarti, Robert Wilson, Andrew W. Harrell, et al.. (2020). Drug Interactions for Low-Dose Inhaled Nemiralisib: A Case Study Integrating Modeling, In Vitro, and Clinical Investigations. Drug Metabolism and Disposition. 48(4). 307–316. 6 indexed citations
6.
Taylor, S., Emmanuel H. Demont, James R. Gray, et al.. (2015). Navigating CYP1A Induction and Arylhydrocarbon Receptor Agonism in Drug Discovery. A Case History with S1P 1 Agonists. Journal of Medicinal Chemistry. 58(20). 8236–8256. 13 indexed citations
7.
Hilpert, Jan, Kai Wu, Gary S. Collins, et al.. (2014). An adaptive design to investigate the effect of ketoconazole on pharmacokinetics of GSK239512 in healthy male volunteers. The Journal of Clinical Pharmacology. 55(5). 505–511. 5 indexed citations
8.
Generaux, Grant T., et al.. (2013). Impact of Physiologically Based Pharmacokinetic Modeling and Simulation in Drug Development. Drug Metabolism and Disposition. 41(12). 1994–2003. 29 indexed citations
9.
Evers, Raymond, Shannon Dallas, Leslie J. Dickmann, et al.. (2013). Critical Review of Preclinical Approaches to Investigate Cytochrome P450–Mediated Therapeutic Protein Drug-Drug Interactions and Recommendations for Best Practices: A White Paper. Drug Metabolism and Disposition. 41(9). 1598–1609. 60 indexed citations
10.
Taylor, S., James R. Gray, Robert Willis, et al.. (2012). The utility of pharmacokinetic–pharmacodynamic modeling in the discovery and optimization of selective S1P1agonists. Xenobiotica. 42(7). 671–686. 4 indexed citations
11.
Riches, Zoe, Jackie C. Bloomer, Aarti Patel, A. Nolan, & Michael W.H. Coughtrie. (2009). Assessment of cryopreserved human hepatocytes as a model system to investigate sulfation and glucuronidation and to evaluate inhibitors of drug conjugation. Xenobiotica. 39(5). 374–381. 26 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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