Xiaoping Chen

1.7k total citations
45 papers, 1.3k citations indexed

About

Xiaoping Chen is a scholar working on Pharmacology, Hematology and Molecular Biology. According to data from OpenAlex, Xiaoping Chen has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pharmacology, 16 papers in Hematology and 14 papers in Molecular Biology. Recurrent topics in Xiaoping Chen's work include Pharmacogenetics and Drug Metabolism (19 papers), Acute Myeloid Leukemia Research (13 papers) and Drug Transport and Resistance Mechanisms (6 papers). Xiaoping Chen is often cited by papers focused on Pharmacogenetics and Drug Metabolism (19 papers), Acute Myeloid Leukemia Research (13 papers) and Drug Transport and Resistance Mechanisms (6 papers). Xiaoping Chen collaborates with scholars based in China, United States and Germany. Xiaoping Chen's co-authors include Hong‐Hao Zhou, Zhaoqian Liu, Dongsheng Ouyang, Nan He, Zhi‐Rong Tan, Song‐Lin Huang, Yan Shu, Hong‐Hao Zhou, Dongsheng Ouyang and Wei Wang and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Xiaoping Chen

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Chen China 21 574 335 255 245 189 45 1.3k
Gan Zhou China 25 548 1.0× 712 2.1× 241 0.9× 389 1.6× 151 0.8× 85 1.9k
Radhakrishna Baliga United States 20 241 0.4× 721 2.2× 163 0.6× 220 0.9× 234 1.2× 52 2.3k
P.M. Mrozikiewicz Poland 22 498 0.9× 666 2.0× 173 0.7× 403 1.6× 77 0.4× 128 1.8k
Miroslav Dostálek United States 22 367 0.6× 542 1.6× 181 0.7× 226 0.9× 44 0.2× 45 1.6k
Cho‐Ming Loi United States 23 611 1.1× 691 2.1× 145 0.6× 615 2.5× 50 0.3× 44 1.7k
Azza A. K. El‐Sheikh Egypt 22 261 0.5× 447 1.3× 132 0.5× 412 1.7× 43 0.2× 77 1.8k
Mahmoud Mansour Saudi Arabia 20 391 0.7× 302 0.9× 108 0.4× 194 0.8× 55 0.3× 62 1.8k
Stephanie Faucette United States 14 984 1.7× 322 1.0× 98 0.4× 571 2.3× 41 0.2× 26 1.6k
Stanislav Mičuda Czechia 24 209 0.4× 405 1.2× 81 0.3× 472 1.9× 62 0.3× 97 1.5k
Soundararajan Krishnaswamy United States 24 453 0.8× 632 1.9× 98 0.4× 450 1.8× 29 0.2× 34 1.7k

Countries citing papers authored by Xiaoping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Chen. A scholar is included among the top collaborators of Xiaoping Chen 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 Xiaoping Chen. Xiaoping Chen 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.
Chen, Xiaoping, Lihong Sun, & Xinzhong Chen. (2025). Reply to: comparative study of labour analgesia onset with injection of loading dose through epidural needle versus catheter: a prospective, double-blinded, randomised clinical trial. European Journal of Anaesthesiology. 42(8). 763–765. 1 indexed citations
2.
Liu, Yanfeng, Peng Chen, Ge Chen, & Xiaoping Chen. (2023). E2F1 rs3213150 polymorphism influences cytarabine sensitivity and prognosis in patients with acute myeloid leukemia. Annals of Hematology. 102(12). 3345–3355.
3.
Chen, Peng, Yonglong Yang, Ke‐Wei Zhu, et al.. (2021). TBC1D16 predicts chemosensitivity and prognosis in adult acute myeloid leukemia (AML) patients. European Journal of Pharmacology. 895. 173894–173894. 5 indexed citations
4.
Kuang, Wei, Cong Cheng, Xueying Yan, et al.. (2021). Metformin exerts a synergistic effect with venetoclax by downregulating Mcl-1 protein in acute myeloid leukemia. Journal of Cancer. 12(22). 6727–6739. 13 indexed citations
5.
6.
Yuan, Xiaoqing, Ke‐Wei Zhu, Peng Chen, et al.. (2019). Genetic polymorphisms of histone methyltransferase SETD2 predicts prognosis and chemotherapy response in Chinese acute myeloid leukemia patients. Journal of Translational Medicine. 17(1). 101–101. 11 indexed citations
7.
Yuan, Xiaoqing, Peng Chen, Ke‐Wei Zhu, et al.. (2019). Influence of DNMT3A R882 mutations on AML prognosis determined by the allele ratio in Chinese patients. Journal of Translational Medicine. 17(1). 220–220. 24 indexed citations
8.
Long, Mei, Bin Zhang, Siyu Peng, et al.. (2019). Interactions between two-dimensional nanoclay and blood cells in hemostasis. Materials Science and Engineering C. 105. 110081–110081. 38 indexed citations
9.
Yuan, Xiaoqing, Li Peng, Wenjing Zeng, et al.. (2016). DNMT3A R882 Mutations Predict a Poor Prognosis in AML. Medicine. 95(18). e3519–e3519. 42 indexed citations
10.
Wang, Li, Zhe Gao, Xiaoping Chen, et al.. (2016). Efficacy and safety of thrombopoietin receptor agonists in patients with primary immune thrombocytopenia: A systematic review and meta-analysis. Scientific Reports. 6(1). 39003–39003. 47 indexed citations
11.
Zhou, Enhui, Xiaoping Chen, & Jingfei Zhang. (2015). [Adult onset Still's disease with the initial symptom of pharyngalgia: a case report].. PubMed. 29(17). 1569–70.
12.
Gao, Lichen, Yijing He, Jie Tang, et al.. (2013). Genetic Variants of Pregnane X Receptor (PXR) and CYP2B6 Affect the Induction of Bupropion Hydroxylation by Sodium Ferulate. PLoS ONE. 8(6). e62489–e62489. 15 indexed citations
13.
Chen, Xiaoping, et al.. (2012). Modified Technique of Chin Augmentation With MEDPOR for Asian Patients. Aesthetic Surgery Journal. 32(7). 799–803. 18 indexed citations
14.
Yang, Guoping, Xiaoping Chen, Hong Yuan, et al.. (2011). Effects of the CYP Oxidoreductase Ala503Val Polymorphism on CYP3A Activity In Vivo: A Randomized, Open-Label, Crossover Study in Healthy Chinese Men. Clinical Therapeutics. 33(12). 2060–2070. 37 indexed citations
15.
Yu, Bangning, Guo‐Lin Chen, Nan He, et al.. (2003). PHARMACOKINETICS OF CITALOPRAM IN RELATION TO GENETIC POLYMORPHISM OF CYP2C19. Drug Metabolism and Disposition. 31(10). 1255–1259. 70 indexed citations
16.
Zhu, Bing, Zhaoqian Liu, Guo‐Lin Chen, et al.. (2003). The distribution and gender difference of CYP3A activity in Chinese subjects. British Journal of Clinical Pharmacology. 55(3). 264–269. 63 indexed citations
17.
Chen, Xiaoping, Chang-Hong Jiang, Song‐Lin Huang, et al.. (2002). Phenotype distribution and gender-related differences of CYP2E1 activity in a Chinese population. Xenobiotica. 32(11). 1053–1062. 6 indexed citations
18.
Jiang, Zhiping, Yan Shu, Xiaoping Chen, et al.. (2002). The role of CYP2C19 in amitriptyline N-demethylation in Chinese subjects. European Journal of Clinical Pharmacology. 58(2). 109–113. 37 indexed citations
19.
Liu, Zhaoqian, Zeneng Cheng, Song‐Lin Huang, et al.. (2001). Effect of the CYP2C19 oxidation polymorphism on fluoxetine metabolism in Chinese healthy subjects. British Journal of Clinical Pharmacology. 52(1). 96–99. 42 indexed citations
20.
Ouyang, Dongsheng, Peixin Lu, Chang-Hong Jiang, et al.. (2001). Plasma caffeine metabolite ratio (17X/137X) in vivo associated with G-2964A and C734A polymorphisms of human CYP1A2. Pharmacogenetics. 11(5). 429–435. 71 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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