S-M Huang

2.5k total citations
16 papers, 1.8k citations indexed

About

S-M Huang is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, S-M Huang has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 8 papers in Pediatrics, Perinatology and Child Health and 4 papers in Oncology. Recurrent topics in S-M Huang's work include Pharmacogenetics and Drug Metabolism (9 papers), Pharmaceutical studies and practices (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). S-M Huang is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Pharmaceutical studies and practices (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). S-M Huang collaborates with scholars based in United States, Sweden and United Kingdom. S-M Huang's co-authors include Lawrence J. Lesko, R Temple, Douglas C. Throckmorton, Robert Temple, Malcolm Rowland, Ping Zhao, Vikram Sinha, KM Giacomini, Christian Wagner and Vicky Hsu and has published in prestigious journals such as British Journal of Pharmacology, Clinical Pharmacology & Therapeutics and The Pharmacogenomics Journal.

In The Last Decade

S-M Huang

16 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S-M Huang United States 15 685 611 534 322 221 16 1.8k
Jack Cook United States 24 496 0.7× 486 0.8× 465 0.9× 303 0.9× 235 1.1× 77 1.8k
Isabelle Ragueneau‐Majlessi United States 21 570 0.8× 607 1.0× 600 1.1× 256 0.8× 181 0.8× 46 1.6k
Thorsten Lehr Germany 30 632 0.9× 528 0.9× 283 0.5× 470 1.5× 309 1.4× 120 3.8k
J. Kevin Hicks United States 26 990 1.4× 431 0.7× 532 1.0× 665 2.1× 223 1.0× 64 2.3k
Larry M. Tremaine United States 24 932 1.4× 731 1.2× 381 0.7× 319 1.0× 275 1.2× 48 1.8k
Thomas M. Polasek Australia 25 678 1.0× 340 0.6× 260 0.5× 289 0.9× 274 1.2× 69 1.6k
Akihiro Hisaka Japan 21 516 0.8× 495 0.8× 242 0.5× 295 0.9× 251 1.1× 91 1.5k
Christopher R. Gibson United States 17 731 1.1× 558 0.9× 251 0.5× 418 1.3× 179 0.8× 44 1.7k
Hirotoshi Echizen Japan 28 1.2k 1.8× 550 0.9× 337 0.6× 373 1.2× 387 1.8× 100 3.0k
E D Kharasch United States 14 1.4k 2.0× 387 0.6× 569 1.1× 286 0.9× 343 1.6× 25 2.1k

Countries citing papers authored by S-M Huang

Since Specialization
Citations

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

Fields of papers citing papers by S-M Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S-M Huang. 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 S-M Huang. The network helps show where S-M Huang may publish in the future.

Co-authorship network of co-authors of S-M Huang

This figure shows the co-authorship network connecting the top 25 collaborators of S-M Huang. A scholar is included among the top collaborators of S-M Huang 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 S-M Huang. S-M Huang 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.
Wagner, Christian, Ping Zhao, Y. Pan, et al.. (2015). Application of Physiologically Based Pharmacokinetic (PBPK) Modeling to Support Dose Selection: Report of an FDA Public Workshop on PBPK. CPT Pharmacometrics & Systems Pharmacology. 4(4). 226–230. 217 indexed citations
2.
Vieira, Manuela de Lima Toccafondo, Myeong‐Jin Kim, Vikram Sinha, et al.. (2014). PBPK Model Describes the Effects of Comedication and Genetic Polymorphism on Systemic Exposure of Drugs That Undergo Multiple Clearance Pathways. Clinical Pharmacology & Therapeutics. 95(5). 550–557. 53 indexed citations
3.
Khin, Ni A., Pei–Ming Yang, Hung Hung, et al.. (2013). Regulatory and Scientific Issues Regarding Use of Foreign Data in Support of New Drug Applications in the United States: An FDA Perspective. Clinical Pharmacology & Therapeutics. 94(2). 230–242. 25 indexed citations
4.
Kalvass, J. Cory, et al.. (2013). Why Clinical Modulation of Efflux Transport at the Human Blood–Brain Barrier Is Unlikely: The ITC Evidence-Based Position. Clinical Pharmacology & Therapeutics. 94(1). 80–94. 149 indexed citations
5.
Huang, S-M & Malcolm Rowland. (2012). The Role of Physiologically Based Pharmacokinetic Modeling in Regulatory Review. Clinical Pharmacology & Therapeutics. 91(3). 542–549. 111 indexed citations
6.
Morrissey, Kari M., et al.. (2012). The UCSF-FDA TransPortal: A Public Drug Transporter Database. Clinical Pharmacology & Therapeutics. 92(5). 545–546. 126 indexed citations
7.
Zhao, Ping, et al.. (2012). Predicting Drug Interaction Potential With a Physiologically Based Pharmacokinetic Model: A Case Study of Telithromycin, a Time-Dependent CYP3A Inhibitor. Clinical Pharmacology & Therapeutics. 91(4). 700–708. 36 indexed citations
8.
Leong, Rupert W., et al.. (2012). Regulatory Experience With Physiologically Based Pharmacokinetic Modeling for Pediatric Drug Trials. Clinical Pharmacology & Therapeutics. 91(5). 926–931. 147 indexed citations
9.
Huang, S-M, et al.. (2011). Marital Status and Risk for Late Life Depression: A Meta-Analysis of the Published Literature. Journal of International Medical Research. 39(4). 1142–1154. 105 indexed citations
10.
Loh, Christine, et al.. (2009). Disruption of nNOS‐PSD95 protein–protein interaction inhibits acute thermal hyperalgesia and chronic mechanical allodynia in rodents. British Journal of Pharmacology. 158(2). 494–506. 89 indexed citations
11.
Huang, S-M, Li Zhang, & KM Giacomini. (2009). The International Transporter Consortium: A Collaborative Group of Scientists From Academia, Industry, and the FDA. Clinical Pharmacology & Therapeutics. 87(1). 32–36. 55 indexed citations
12.
Huang, S-M, Robert Temple, Shifu Xiao, Lei Zhang, & Lawrence J. Lesko. (2009). When to Conduct a Renal Impairment Study During Drug Development: US Food and Drug Administration Perspective. Clinical Pharmacology & Therapeutics. 86(5). 475–479. 68 indexed citations
13.
Huang, S-M & Robert Temple. (2008). Is This the Drug or Dose for You?: Impact and Consideration of Ethnic Factors in Global Drug Development, Regulatory Review, and Clinical Practice. Clinical Pharmacology & Therapeutics. 84(3). 287–294. 109 indexed citations
14.
Huang, S-M, R Temple, Douglas C. Throckmorton, & Lawrence J. Lesko. (2007). Drug Interaction Studies: Study Design, Data Analysis, and Implications for Dosing and Labeling. Clinical Pharmacology & Therapeutics. 81(2). 298–304. 469 indexed citations
15.
Frueh, Felix W., et al.. (2005). The need for education in pharmacogenomics: a regulatory perspective. The Pharmacogenomics Journal. 5(4). 218–220. 24 indexed citations
16.
Liu, CL, et al.. (2001). ROUTE-INFORMATION MANAGEMENT AND PROVISION FOR PUBLIC TRANSPORTATION SYSTEMS. 1 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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