Ming‐Liang Tan

409 total citations
16 papers, 313 citations indexed

About

Ming‐Liang Tan is a scholar working on Oncology, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, Ming‐Liang Tan has authored 16 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Pharmaceutical Science. Recurrent topics in Ming‐Liang Tan's work include Drug Transport and Resistance Mechanisms (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Ming‐Liang Tan is often cited by papers focused on Drug Transport and Resistance Mechanisms (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Ming‐Liang Tan collaborates with scholars based in United States, United Kingdom and Canada. Ming‐Liang Tan's co-authors include Gang Chen, Ping‐Chung Leung, Chun‐Hay Ko, Shiew‐Mei Huang, Aleksandra Galetin, Liang Zhao, Thomas D. Nolin, Andrew Babiskin, Ping Zhao and Micheline Piquette‐Miller and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Ethnopharmacology and Pharmaceutical Research.

In The Last Decade

Ming‐Liang Tan

16 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Liang Tan United States 8 96 94 84 80 58 16 313
Rossen Koytchev Bulgaria 14 45 0.5× 69 0.7× 62 0.7× 39 0.5× 87 1.5× 45 568
Yanrong Ma China 12 62 0.6× 73 0.8× 91 1.1× 122 1.5× 44 0.8× 49 374
Shilei Yang China 11 42 0.4× 41 0.4× 69 0.8× 102 1.3× 30 0.5× 23 329
Ida Robertsen Norway 16 34 0.4× 100 1.1× 85 1.0× 61 0.8× 120 2.1× 38 661
Michael Looby Switzerland 12 34 0.4× 35 0.4× 59 0.7× 43 0.5× 72 1.2× 23 432
Dinko Rekić Sweden 11 17 0.2× 69 0.7× 78 0.9× 57 0.7× 57 1.0× 29 451
Chantal Barin‐Le Guellec France 14 40 0.4× 79 0.8× 128 1.5× 115 1.4× 114 2.0× 36 545
R A Branch United States 13 62 0.6× 167 1.8× 92 1.1× 182 2.3× 42 0.7× 30 606
Thanka Johnson India 10 23 0.2× 36 0.4× 34 0.4× 92 1.1× 12 0.2× 54 442
Sjoerd P. van Marle Switzerland 8 15 0.2× 87 0.9× 76 0.9× 108 1.4× 38 0.7× 8 533

Countries citing papers authored by Ming‐Liang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Liang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Liang Tan. 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 Ming‐Liang Tan. The network helps show where Ming‐Liang Tan may publish in the future.

Co-authorship network of co-authors of Ming‐Liang Tan

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

All Works

16 of 16 papers shown
1.
Walenga, Ross, Khondoker Alam, James F. Clarke, et al.. (2025). Regulatory and Industry Perspective on the Model Master File Framework for Locally Acting Drug Products. Pharmaceutical Research. 42(5). 773–784. 1 indexed citations
2.
3.
Tan, Ming‐Liang, Zongming Gao, Andrew Babiskin, et al.. (2023). Use of physiologically‐based pharmacokinetic modeling to understand the effect of omeprazole administration on the pharmacokinetics of oral extended‐release nifedipine. CPT Pharmacometrics & Systems Pharmacology. 13(2). 247–256. 3 indexed citations
4.
Babiskin, Andrew, Fang Wu, Ming‐Liang Tan, et al.. (2023). Regulatory utility of mechanistic modeling to support alternative bioequivalence approaches: A workshop overview. CPT Pharmacometrics & Systems Pharmacology. 12(5). 619–623. 10 indexed citations
5.
Zhao, Liang, Dajun Sun, Ming‐Liang Tan, et al.. (2023). Effect of Omeprazole Administration on the Pharmacokinetics of Oral Extended‐Release Nifedipine in Healthy Subjects. Clinical Pharmacology & Therapeutics. 114(5). 1134–1141. 4 indexed citations
6.
German, Carrie, Zhijian J. Chen, Andrzej Przekwas, et al.. (2023). Computational Model of In Vivo Corneal Pharmacokinetics and Pharmacodynamics of Topically Administered Ophthalmic Drug Products. Pharmaceutical Research. 40(4). 961–975. 4 indexed citations
7.
Gum, Glenwood G., Spundana Malla, Charles Bon, et al.. (2023). Topical pharmacokinetics of brinzolamide suspensions in rabbits and variability analysis for sample size and design considerations. International Journal of Pharmaceutics. 642. 123183–123183. 5 indexed citations
8.
Tan, Ming‐Liang, Sajeev Chandran, Khondoker Alam, et al.. (2023). Mechanistic modeling of ophthalmic, nasal, injectable, and implant generic drug products: A workshop summary report. CPT Pharmacometrics & Systems Pharmacology. 12(5). 631–638. 3 indexed citations
9.
Tan, Ming‐Liang, et al.. (2022). Clinical Ocular Exposure Extrapolation for Ophthalmic Solutions Using PBPK Modeling and Simulation. Pharmaceutical Research. 40(2). 431–447. 9 indexed citations
10.
Tan, Ming‐Liang, et al.. (2020). Physiologically Based Pharmacokinetic Model to Support Ophthalmic Suspension Product Development. The AAPS Journal. 22(2). 26–26. 25 indexed citations
11.
Lukáčová, Viera, Ming‐Liang Tan, Andrew Babiskin, et al.. (2020). Ocular Physiologically Based Pharmacokinetic Modeling for Ointment Formulations. Pharmaceutical Research. 37(12). 245–245. 16 indexed citations
12.
Tan, Ming‐Liang, et al.. (2020). Physiologically Based Pharmacokinetic Modeling Approach to Identify the Drug–Drug Interaction Mechanism of Nifedipine and a Proton Pump Inhibitor, Omeprazole. European Journal of Drug Metabolism and Pharmacokinetics. 46(1). 41–51. 9 indexed citations
13.
Tan, Ming‐Liang, Ping Zhao, Lei Zhang, et al.. (2018). Use of Physiologically Based Pharmacokinetic Modeling to Evaluate the Effect of Chronic Kidney Disease on the Disposition of HepaticCYP2C8 andOATP1B Drug Substrates. Clinical Pharmacology & Therapeutics. 105(3). 719–729. 51 indexed citations
14.
Chen, Gang & Ming‐Liang Tan. (2017). Effect of green tea polyphenols on uric acid level in potassium oxonate-induced hyperuricemic mice and mechanism. Zhongguo yaolixue tongbao. 33(2). 218–222. 1 indexed citations
15.
Tan, Ming‐Liang, Kenta Yoshida, Ping Zhao, et al.. (2017). Effect of Chronic Kidney Disease on Nonrenal Elimination Pathways: A Systematic Assessment of CYP1A2, CYP2C8, CYP2C9, CYP2C19, and OATP. Clinical Pharmacology & Therapeutics. 103(5). 854–867. 65 indexed citations
16.
Chen, Gang, et al.. (2015). Green tea polyphenols decreases uric acid level through xanthine oxidase and renal urate transporters in hyperuricemic mice. Journal of Ethnopharmacology. 175. 14–20. 103 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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