Pranav Shah

1.5k total citations
43 papers, 790 citations indexed

About

Pranav Shah is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology. According to data from OpenAlex, Pranav Shah has authored 43 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 16 papers in Pharmacology and 13 papers in Molecular Biology. Recurrent topics in Pranav Shah's work include Computational Drug Discovery Methods (17 papers), Pharmacogenetics and Drug Metabolism (13 papers) and Drug Transport and Resistance Mechanisms (10 papers). Pranav Shah is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Pharmacogenetics and Drug Metabolism (13 papers) and Drug Transport and Resistance Mechanisms (10 papers). Pranav Shah collaborates with scholars based in United States, India and Japan. Pranav Shah's co-authors include Xin Xu, Romi Ghose, Tao Guo, Elias Carvalho Padilha, Adarsh Gandhi, Ðắc-Trung Nguyễn, Anton Simeonov, Amy Q. Wang, Vishal B. Siramshetty and Edward H. Kerns and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The FASEB Journal.

In The Last Decade

Pranav Shah

42 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranav Shah United States 17 377 199 178 175 97 43 790
Lili Chen China 15 365 1.0× 145 0.7× 162 0.9× 145 0.8× 50 0.5× 35 862
Rowan Stringer Switzerland 17 232 0.6× 99 0.5× 216 1.2× 267 1.5× 40 0.4× 23 874
Stuart W. Paine United Kingdom 18 270 0.7× 263 1.3× 237 1.3× 306 1.7× 187 1.9× 61 993
Alex. M. Weir United Kingdom 2 424 1.1× 371 1.9× 95 0.5× 151 0.9× 92 0.9× 2 956
Huidong Yu China 18 489 1.3× 300 1.5× 172 1.0× 91 0.5× 155 1.6× 37 1.0k
Praveen M. Bahadduri United States 9 247 0.7× 130 0.7× 235 1.3× 126 0.7× 82 0.8× 10 728
Angelo Pugliese United States 16 586 1.6× 211 1.1× 145 0.8× 136 0.8× 181 1.9× 23 1.1k
Bianca M. Liederer United States 20 547 1.5× 119 0.6× 370 2.1× 125 0.7× 117 1.2× 44 1.3k
Temitope Isaac Adelusi Nigeria 16 427 1.1× 218 1.1× 74 0.4× 64 0.4× 166 1.7× 45 851
Lili Xi China 16 348 0.9× 144 0.7× 108 0.6× 60 0.3× 73 0.8× 56 758

Countries citing papers authored by Pranav Shah

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Shah. A scholar is included among the top collaborators of Pranav Shah 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 Pranav Shah. Pranav Shah 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.
Zhang, Li, Ruili Huang, A. Asthana, et al.. (2025). Investigating blood–brain barrier penetration and neurotoxicity of natural products for central nervous system drug development. Scientific Reports. 15(1). 7431–7431. 3 indexed citations
2.
3.
Shah, Pranav, Vishal B. Siramshetty, Ewy A. Mathé, & Xin Xu. (2024). Developing Robust Human Liver Microsomal Stability Prediction Models: Leveraging Inter-Species Correlation with Rat Data. Pharmaceutics. 16(10). 1257–1257. 1 indexed citations
4.
Vora, Amisha, et al.. (2024). PLGA Nanoparticles Based Mucoadhesive Nasal In Situ Gel for Enhanced Brain Delivery of Topiramate. AAPS PharmSciTech. 25(7). 205–205. 7 indexed citations
5.
Siramshetty, Vishal B., Xin Xu, & Pranav Shah. (2023). Artificial Intelligence in ADME Property Prediction. Methods in molecular biology. 2714. 307–327. 7 indexed citations
6.
Farrell, Aidan D., et al.. (2023). Common Pathology With Atypical Presentation: Acute Cholangitis. Cureus. 15(6). e40747–e40747. 1 indexed citations
7.
Yasgar, Adam, Richard T. Eastman, Ruili Huang, et al.. (2023). Quantitative Bioactivity Signatures of Dietary Supplements and Natural Products. ACS Pharmacology & Translational Science. 6(5). 683–701. 2 indexed citations
8.
Padilha, Elias Carvalho, Mengbi Yang, Pranav Shah, et al.. (2023). In vitro and in vivo pharmacokinetic characterization, chiral conversion and PBPK scaling towards human PK simulation of S-MRI-1867, a drug candidate for Hermansky-Pudlak syndrome pulmonary fibrosis. Biomedicine & Pharmacotherapy. 168. 115178–115178. 3 indexed citations
9.
10.
Wang, Amy Q., Elias Carvalho Padilha, Mengbi Yang, et al.. (2022). Preclinical Pharmacokinetics and In Vitro Properties of GS-441524, a Potential Oral Drug Candidate for COVID-19 Treatment. Frontiers in Pharmacology. 13. 918083–918083. 16 indexed citations
11.
Siramshetty, Vishal B., J. W. Williams, Ðắc-Trung Nguyễn, et al.. (2021). Validating ADME QSAR Models Using Marketed Drugs. SLAS DISCOVERY. 26(10). 1326–1336. 27 indexed citations
12.
Zhu, Hu, Olivia W. Lee, Pranav Shah, et al.. (2019). Identification of Activators of Human Fumarate Hydratase by Quantitative High-Throughput Screening. SLAS DISCOVERY. 25(1). 43–56. 5 indexed citations
13.
Yang, Shyh‐Ming, Natalia J. Martinez, Adam Yasgar, et al.. (2018). Discovery of Orally Bioavailable, Quinoline-Based Aldehyde Dehydrogenase 1A1 (ALDH1A1) Inhibitors with Potent Cellular Activity. Journal of Medicinal Chemistry. 61(11). 4883–4903. 70 indexed citations
14.
Yang, Shyh‐Ming, Daniel J. Urban, Makoto Yoshioka, et al.. (2018). Discovery and lead identification of quinazoline-based BRD4 inhibitors. Bioorganic & Medicinal Chemistry Letters. 28(21). 3483–3488. 13 indexed citations
15.
Sun, Hongmao, Edward H. Kerns, Zhengyin Yan, et al.. (2017). Highly predictive and interpretable models for PAMPA permeability. Bioorganic & Medicinal Chemistry. 25(3). 1266–1276. 81 indexed citations
16.
Shah, Pranav, Edward H. Kerns, Ðắc-Trung Nguyễn, et al.. (2016). An Automated High-Throughput Metabolic Stability Assay Using an Integrated High-Resolution Accurate Mass Method and Automated Data Analysis Software. Drug Metabolism and Disposition. 44(10). 1653–1661. 35 indexed citations
17.
Shah, Pranav, Ozozoma Omoluabi, Bhagavatula Moorthy, & Romi Ghose. (2015). Role of Adaptor Protein Toll-Like Interleukin Domain Containing Adaptor Inducing Interferon β in Toll-Like Receptor 3- and 4-Mediated Regulation of Hepatic Drug Metabolizing Enzyme and Transporter Genes. Drug Metabolism and Disposition. 44(1). 61–67. 10 indexed citations
18.
Shah, Pranav, et al.. (2015). Impact of obesity on accumulation of the toxic irinotecan metabolite, SN-38, in mice. Life Sciences. 139. 132–138. 9 indexed citations
19.
Guo, Tao, et al.. (2012). CYP3A‐dependent drug metabolism is reduced in bacterial inflammation in mice. British Journal of Pharmacology. 166(7). 2176–2187. 26 indexed citations
20.
Ghose, Romi, Ozozoma Omoluabi, Adarsh Gandhi, et al.. (2011). Role of high-fat diet in regulation of gene expression of drug metabolizing enzymes and transporters. Life Sciences. 89(1-2). 57–64. 92 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lili Chen Breakdown of academic impact, for papers by Rowan Stringer Breakdown of academic impact, for papers by Stuart W. Paine Breakdown of academic impact, for papers by Alex. M. Weir Breakdown of academic impact, for papers by Huidong Yu Breakdown of academic impact, for papers by Praveen M. Bahadduri Breakdown of academic impact, for papers by Angelo Pugliese Breakdown of academic impact, for papers by Bianca M. Liederer Breakdown of academic impact, for papers by Temitope Isaac Adelusi Breakdown of academic impact, for papers by Lili Xi
Rankless by CCL
2026