Chung‐Ping Yu

1.3k total citations
53 papers, 1.0k citations indexed

About

Chung‐Ping Yu is a scholar working on Oncology, Pharmacology and Pharmacology. According to data from OpenAlex, Chung‐Ping Yu has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 16 papers in Pharmacology and 13 papers in Pharmacology. Recurrent topics in Chung‐Ping Yu's work include Drug Transport and Resistance Mechanisms (16 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Phytochemistry and biological activity of medicinal plants (7 papers). Chung‐Ping Yu is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Phytochemistry and biological activity of medicinal plants (7 papers). Chung‐Ping Yu collaborates with scholars based in Taiwan, United States and South Korea. Chung‐Ping Yu's co-authors include Yu‐Chi Hou, Shiuan-Pey Lin, Pei-Dawn Lee Chao, Shang-Yuan Tsai, Paul Vouros, Yow‐Wen Hsieh, Jennie García‐Olivares, Stefan Schwabe, Chi‐Sheng Shia and Eric Yang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Chung‐Ping Yu

52 papers receiving 987 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chung‐Ping Yu Taiwan 19 283 264 151 151 139 53 1.0k
Yang Lu China 23 250 0.9× 462 1.8× 211 1.4× 98 0.6× 30 0.2× 105 1.5k
А. А. Спасов Russia 24 196 0.7× 828 3.1× 110 0.7× 156 1.0× 57 0.4× 357 2.6k
Fernando de Andrés Spain 20 335 1.2× 165 0.6× 147 1.0× 39 0.3× 79 0.6× 53 919
Luana Heimfarth Brazil 23 151 0.5× 606 2.3× 51 0.3× 170 1.1× 55 0.4× 79 1.8k
D. R. Krishna India 20 325 1.1× 277 1.0× 213 1.4× 121 0.8× 45 0.3× 77 1.4k
Ronghua Zhu China 20 182 0.6× 346 1.3× 121 0.8× 46 0.3× 132 0.9× 66 1.2k
Dongsheng Ouyang China 24 492 1.7× 459 1.7× 186 1.2× 160 1.1× 55 0.4× 59 1.3k
Fei Tang China 20 166 0.6× 301 1.1× 89 0.6× 59 0.4× 198 1.4× 41 1.4k
Francesca Bugamelli Italy 21 217 0.8× 219 0.8× 34 0.2× 132 0.9× 162 1.2× 43 1.1k
S. L. Bodhankar India 18 183 0.6× 246 0.9× 33 0.2× 318 2.1× 115 0.8× 57 1.2k

Countries citing papers authored by Chung‐Ping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Ping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Ping Yu. 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 Chung‐Ping Yu. The network helps show where Chung‐Ping Yu may publish in the future.

Co-authorship network of co-authors of Chung‐Ping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Ping Yu. A scholar is included among the top collaborators of Chung‐Ping Yu 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 Chung‐Ping Yu. Chung‐Ping Yu 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.
Yu, Chung‐Ping, Peiying Li, Szu‐Yu Chen, et al.. (2024). An acute herb-drug interaction of Magnoliae Officinalis Cortex with methotrexate via inhibiting multidrug resistance-associated protein 2. Journal of Food and Drug Analysis. 32(1). 108–117.
2.
3.
Findling, Robert L., Azmi Nasser, Stefan Schwabe, et al.. (2021). Viloxazine in the Management of CNS Disorders: A Historical Overview and Current Status. CNS Drugs. 35(6). 643–653. 40 indexed citations
4.
Yu, Chung‐Ping, et al.. (2020). Resveratrol stereoselectively affected (±)warfarin pharmacokinetics and enhanced the anticoagulation effect. Scientific Reports. 10(1). 15910–15910. 18 indexed citations
5.
Yu, Chung‐Ping, et al.. (2020). <p>New Insights into the Mechanism of Action of Viloxazine: Serotonin and Norepinephrine Modulating Properties</p>. Journal of Experimental Pharmacology. Volume 12. 285–300. 69 indexed citations
6.
Robb, Adelaide S., Stefan Schwabe, Gianpiera Ceresoli‐Borroni, et al.. (2019). A proposed anti-maladaptive aggression agent classification: improving our approach to treating impulsive aggression. Postgraduate Medicine. 131(2). 129–137. 8 indexed citations
7.
Yu, Chung‐Ping, et al.. (2018). In vitro pharmacological characterization of SPN-810M (molindone). Journal of Experimental Pharmacology. Volume 10. 65–73. 4 indexed citations
8.
White, Tacey, et al.. (2018). Reproductive toxicology studies supporting the safety of molindone, a dopamine receptor antagonist. Birth Defects Research. 110(16). 1250–1262. 1 indexed citations
9.
Lin, Shiuan-Pey, et al.. (2017). Transporter-mediated interaction of indican and methotrexate in rats. Journal of Food and Drug Analysis. 26(2). S133–S140. 12 indexed citations
10.
Yu, Chung‐Ping, et al.. (2017). R- and S-Warfarin Were Transported by Breast Cancer Resistance Protein: From In Vitro to Pharmacokinetic-Pharmacodynamic Studies. Journal of Pharmaceutical Sciences. 106(5). 1419–1425. 14 indexed citations
11.
Yu, Chung‐Ping, et al.. (2015). Rhubarb decreased the systemic exposure of cyclosporine, a probe substrate of P-glycoprotein and CYP 3A. Xenobiotica. 46(8). 677–682. 14 indexed citations
12.
Hsieh, Yow‐Wen, Shih‐ying Yang, Yu‐Hsuan Peng, et al.. (2014). Oral intake of curcumin markedly activated CYP 3A4: in vivo and ex-vivo studies. Scientific Reports. 4(1). 6587–6587. 47 indexed citations
13.
Peng, Yu‐Hsuan, Shiuan-Pey Lin, Chung‐Ping Yu, et al.. (2014). Serum Concentrations of Anthraquinones after Intake of Folium Sennae and Potential Modulation on P-glycoprotein. Planta Medica. 80(15). 1291–1297. 13 indexed citations
14.
Yu, Chung‐Ping, et al.. (2013). Potential modulation on P-glycoprotein and CYP3A by soymilk and miso: In vivo and ex-vivo studies. Food Chemistry. 149. 25–30. 10 indexed citations
15.
16.
Gabriel, Kara I., Chung‐Ping Yu, Jill Osborn, & Joanne Weinberg. (2006). Prenatal ethanol exposure alters sensitivity to the effects of corticotropin-releasing factor (CRF) on behavior in the elevated plus-maze. Psychoneuroendocrinology. 31(9). 1046–1056. 22 indexed citations
17.
Kim, Jiyoung, Seung‐Beom Hong, Woo‐Jin Jung, et al.. (2006). Comparison of isoflavones composition in seed, embryo, cotyledon and seed coat of cooked-with-rice and vegetable soybean (Glycine max L.) varieties. Food Chemistry. 102(3). 738–744. 49 indexed citations
18.
Andrews, Christine L., Feng Li, Eric Yang, Chung‐Ping Yu, & Paul Vouros. (2005). Incorporation of a nanosplitter interface into an LC‐MS‐RD system to facilitate drug metabolism studies. Journal of Mass Spectrometry. 41(1). 43–49. 11 indexed citations
19.
Wen, Kuo‐Ching, et al.. (2004). Presystemic Metabolism of Anthraquinone Polyphenols in Rhubarb. 9(2). 87–95. 1 indexed citations
20.
Yu, Chung‐Ping, et al.. (1998). ‘Tweaked’ GammaPlan for Target Volume Measurement in Non-Fiducial Based Images: A Simple Routine for Follow-Up Assessment. Stereotactic and Functional Neurosurgery. 70(Suppl. 1). 243–248. 4 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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