Guoxin Hu

3.7k total citations
174 papers, 3.0k citations indexed

About

Guoxin Hu is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Guoxin Hu has authored 174 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Pharmacology, 41 papers in Oncology and 33 papers in Molecular Biology. Recurrent topics in Guoxin Hu's work include Pharmacogenetics and Drug Metabolism (79 papers), Drug Transport and Resistance Mechanisms (25 papers) and Hormonal Regulation and Hypertension (19 papers). Guoxin Hu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (79 papers), Drug Transport and Resistance Mechanisms (25 papers) and Hormonal Regulation and Hypertension (19 papers). Guoxin Hu collaborates with scholars based in China, United States and Hong Kong. Guoxin Hu's co-authors include Ren‐Shan Ge, Qingquan Lian, Da‐Peng Dai, Jian‐Ping Cai, Dianne O. Hardy, Shuanghu Wang, Guorong Chen, Xiaokun Li, Jianping Cai and Ren-ai Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Guoxin Hu

172 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoxin Hu China 30 863 763 623 429 384 174 3.0k
Nobumitsu Hanioka Japan 29 1.3k 1.5× 953 1.2× 687 1.1× 162 0.4× 837 2.2× 144 3.3k
Radim Vrzal Czechia 27 590 0.7× 748 1.0× 263 0.4× 208 0.5× 481 1.3× 80 2.2k
Thomas F. Kalhorn United States 29 710 0.8× 918 1.2× 131 0.2× 716 1.7× 562 1.5× 53 3.6k
Markku Pasanen Finland 37 1.9k 2.2× 1.3k 1.7× 667 1.1× 221 0.5× 932 2.4× 138 4.8k
Yuji Ishii Japan 29 791 0.9× 1.0k 1.3× 562 0.9× 92 0.2× 601 1.6× 169 2.8k
Petr Pávek Czechia 41 1.2k 1.4× 1.5k 1.9× 383 0.6× 495 1.2× 1.6k 4.2× 159 5.2k
Jorge Goldstein United States 34 2.2k 2.6× 1.0k 1.4× 648 1.0× 396 0.9× 1.1k 2.9× 88 4.6k
Shinsaku Naito Japan 27 966 1.1× 966 1.3× 87 0.1× 211 0.5× 1.0k 2.7× 82 3.1k
Yvonne Will United States 37 1.0k 1.2× 2.6k 3.4× 97 0.2× 283 0.7× 639 1.7× 84 5.3k
Richard Weaver United Kingdom 36 1.7k 2.0× 1.2k 1.5× 209 0.3× 144 0.3× 1.2k 3.2× 86 3.9k

Countries citing papers authored by Guoxin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Guoxin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxin Hu. A scholar is included among the top collaborators of Guoxin Hu 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 Guoxin Hu. Guoxin Hu 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.
Hu, Yingying, et al.. (2024). Functional assessment of CYP3A4 and CYP2C19 genetic polymorphisms on the metabolism of clothianidin in vitro. Chemico-Biological Interactions. 399. 111154–111154. 1 indexed citations
2.
Zhang, Li‐Qun, Xinyue Li, Lianguo Chen, et al.. (2024). Genetic variants, haplotype determination, and function of novel alleles of CYP2B6 in a Han Chinese population. Heliyon. 10(7). e28952–e28952. 1 indexed citations
3.
Chen, Qi, Yulin Ye, Die Hu, et al.. (2023). Delivery of hydroxycamptothecin via sonoporation: An effective therapy for liver fibrosis. Journal of Controlled Release. 358. 319–332. 16 indexed citations
4.
Li, Qingqing, Jing Wang, Yuxin Shen, et al.. (2023). The impacts of CYP3A4 genetic polymorphism and drug interactions on the metabolism of lurasidone. Biomedicine & Pharmacotherapy. 168. 115833–115833. 5 indexed citations
5.
Li, Mengfang, Qingqing Li, Dan Lin, et al.. (2023). The variability in CYP3A4 activity determines the metabolic kinetic characteristics of ketamine. Toxicology. 500. 153682–153682. 1 indexed citations
6.
Li, Xiangyü, Jing Wang, Xiaoyu Xu, et al.. (2023). Functional evaluation of CYP2C19 and CYP3A4 gene polymorphism on ibuprofen metabolism. Toxicology and Applied Pharmacology. 475. 116653–116653. 3 indexed citations
7.
Li, Yaqin, Guoxin Hu, Furong Huang, et al.. (2023). MAT1A Suppression by the CTBP1/HDAC1/HDAC2 Transcriptional Complex Induces Immune Escape and Reduces Ferroptosis in Hepatocellular Carcinoma. Laboratory Investigation. 103(8). 100180–100180. 12 indexed citations
8.
Hu, Xiaoqin, et al.. (2022). The effect of CYP3A4 genetic polymorphism and drug interaction on the metabolism of istradefylline. Chemico-Biological Interactions. 366. 110123–110123. 7 indexed citations
9.
Chen, Mengchun, et al.. (2020). Determination of parecoxib and valdecoxib in rat plasma by UPLC-MS/MS and its application to pharmacokinetics studies. BMC Pharmacology and Toxicology. 21(1). 27–27. 2 indexed citations
10.
Chen, Bingbing, Xiaodan Zhang, Jian Wen, et al.. (2019). Effects of 26 Recombinant CYP3A4 Variants on Brexpiprazole Metabolism. Chemical Research in Toxicology. 33(1). 172–180. 13 indexed citations
11.
Li, Xiangyü, et al.. (2019). Effects of 24 CYP2D6 variants found in Chinese population on the metabolism of clonidine in vitro. Chemico-Biological Interactions. 313. 108840–108840. 3 indexed citations
12.
Zhou, X.‐Y., Zhe Chen, Pengfei Tang, et al.. (2017). Determination of lesinurad in rat plasma by a UHPLC–MS/MS assay. Chemistry Central Journal. 11(1). 121–121. 6 indexed citations
13.
Hu, Xiaoxia, et al.. (2016). A rapid and sensitive UHPLC–MS/MS assay for the determination of trelagliptin in rat plasma and its application to a pharmacokinetic study. Journal of Chromatography B. 1033-1034. 166–171. 10 indexed citations
14.
Dai, Da‐Peng, et al.. (2015). In vitrofunctional analysis of 24 novel CYP2C19 variants recently found in the Chinese Han population. Xenobiotica. 45(11). 1030–1035. 14 indexed citations
15.
16.
Sun, Wei, Lei Zhou, Ruimin Chen, et al.. (2015). Determination and pharmacokinetic study of pirfenidone in rat plasma by UPLC–MS/MS. Journal of Chromatography B. 981-982. 14–18. 10 indexed citations
17.
Wang, Zhe, Wei Sun, Li Wang, et al.. (2014). Inhibitory effects of curcumin on activity of cytochrome P450 2C9 enzyme in human and 2C11 in rat liver microsomes. Drug Development and Industrial Pharmacy. 41(4). 613–616. 43 indexed citations
18.
Sun, Wei, Zhe Wang, Xiaodan Zhang, et al.. (2014). The effect of clopidogrel on pharmacokinetics of ivabradine and its metabolite in rats. Drug Development and Industrial Pharmacy. 41(9). 1512–1517. 6 indexed citations
19.
Li, Linxi, Tiao Bu, Danyan Zhu, et al.. (2014). In utero exposure to diisononyl phthalate caused testicular dysgenesis of rat fetal testis. Toxicology Letters. 232(2). 466–474. 67 indexed citations
20.
Guo, Jingjing, Xiaohuan Yuan, Li Qiu, et al.. (2012). Inhibition of human and rat 11β-hydroxysteroid dehydrogenases activities by bisphenol A. Toxicology Letters. 215(2). 126–130. 47 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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