Ta C. Wu

1.1k total citations
8 papers, 789 citations indexed

About

Ta C. Wu is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, Ta C. Wu has authored 8 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Pharmacology. Recurrent topics in Ta C. Wu's work include Drug Transport and Resistance Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Ta C. Wu is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Ta C. Wu collaborates with scholars based in United States, Sweden and Belgium. Ta C. Wu's co-authors include Win L. Chiou, Sang M. Chung, Satjit Brar, Nam Atiqur Rahman, Eva Gil Berglund, K S Reynolds, Julie Bullock, Rajanikanth Madabushi, Pengfei Song and Ping Zhao and has published in prestigious journals such as Pharmaceutical Research, Clinical Pharmacology & Therapeutics and International Journal of Clinical Pharmacology and Therapeutics.

In The Last Decade

Ta C. Wu

8 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ta C. Wu United States	8	310	301	186	168	128	8	789
L J Lesko United States	12	191 0.6×	278 0.9×	162 0.9×	113 0.7×	168 1.3×	21	956
K S Reynolds United States	6	273 0.9×	290 1.0×	167 0.9×	55 0.3×	121 0.9×	8	707
Leslie Z. Benet United States	16	330 1.1×	308 1.0×	277 1.5×	101 0.6×	146 1.1×	26	1.0k
Pradeep Sharma United Kingdom	20	468 1.5×	290 1.0×	259 1.4×	172 1.0×	201 1.6×	45	1.0k
Oliver Hatley United Kingdom	16	297 1.0×	324 1.1×	145 0.8×	206 1.2×	206 1.6×	27	952
Xavier Boulenc France	15	303 1.0×	336 1.1×	94 0.5×	109 0.6×	198 1.5×	19	814
Jingjing Yu United States	12	306 1.0×	349 1.2×	198 1.1×	64 0.4×	160 1.3×	23	852
Kirstin Thelen Germany	20	324 1.0×	386 1.3×	259 1.4×	248 1.5×	191 1.5×	26	1.3k
Aki T. Heikkinen Finland	18	317 1.0×	236 0.8×	114 0.6×	211 1.3×	215 1.7×	34	819
Vikash K. Sinha Belgium	11	338 1.1×	520 1.7×	91 0.5×	93 0.6×	178 1.4×	12	878

Countries citing papers authored by Ta C. Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ta C. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta C. Wu. 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 Ta C. Wu. The network helps show where Ta C. Wu may publish in the future.

Co-authorship network of co-authors of Ta C. Wu

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

All Works

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8 of 8 papers shown

Zhao, Ping, Joseph A. Grillo, Julie Bullock, et al.. (2010). Applications of Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation During Regulatory Review. Clinical Pharmacology & Therapeutics. 89(2). 259–267. 402 indexed citations

Chung, Sang M., Eun Jeong Park, Steven M. Swanson, Ta C. Wu, & Win L. Chiou. (2001). Profound effect of plasma protein binding on the polarized transport of furosemide and verapamil in the Caco-2 model.. Pharmaceutical Research. 18(4). 544–547. 14 indexed citations

Chiou, Win L., et al.. (2001). A comprehensive account on the role of efflux transporters in the gastrointestinal absorption of 13 commonly used substrate drugs in humans. International Journal of Clinical Pharmacology and Therapeutics. 39(3). 93–101. 80 indexed citations

Chiou, Win L., et al.. (2001). Use of the erythromycin breath test for in vivo assessments of cytochrome P4503A activity and dosage individualization. Clinical Pharmacology & Therapeutics. 70(4). 305–310. 73 indexed citations

Chiou, Win L., et al.. (2000). Similarity in the linear and non-linear oral absorption of drugs between human and rat. International Journal of Clinical Pharmacology and Therapeutics. 38(11). 532–539. 33 indexed citations

Chiou, Win L., Sang M. Chung, & Ta C. Wu. (2000). Potential Role of P-Glycoprotein in Affecting Hepatic Metabolism of Drugs. Pharmaceutical Research. 17(8). 903–905. 33 indexed citations

Chiou, Win L., et al.. (2000). Evaluation of Using Dog as an Animal Model to Study the Fraction of Oral Dose Absorbed of 43 Drugs in Humans. Pharmaceutical Research. 17(2). 135–140. 124 indexed citations

Chiou, Win L., Sang M. Chung, & Ta C. Wu. (2000). Apparent Lack of Effect of P-Glycoprotein on the Gastrointestinal Absorption of a Substrate, Tacrolimus, in Normal Mice. Pharmaceutical Research. 17(2). 205–208. 30 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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