Xingxing Diao

2.1k total citations
70 papers, 1.7k citations indexed

About

Xingxing Diao is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Xingxing Diao has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Pharmacology and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Xingxing Diao's work include Forensic Toxicology and Drug Analysis (18 papers), Alcohol Consumption and Health Effects (16 papers) and Cannabis and Cannabinoid Research (12 papers). Xingxing Diao is often cited by papers focused on Forensic Toxicology and Drug Analysis (18 papers), Alcohol Consumption and Health Effects (16 papers) and Cannabis and Cannabinoid Research (12 papers). Xingxing Diao collaborates with scholars based in China, United States and Sweden. Xingxing Diao's co-authors include Marilyn A. Huestis, Karl B. Scheidweiler, Dafang Zhong, Ariane Wohlfarth, Jérémy Carlier, Marilyn A. Huestis, Xiaoyan Chen, Cen Xie, Shaokun Pang and Robert Kronstrand and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and British Journal of Pharmacology.

In The Last Decade

Xingxing Diao

68 papers receiving 1.7k citations

Peers

Xingxing Diao
Elizabeth M. Laurenzana United States
Federica Vacondio Italy
Sachiko Tanaka Japan
João Paulo Capela Portugal
Martin Kaczocha United States
Teresa Cunha‐Oliveira Portugal
Kay Ahn United States
J. Guy Breitenbucher United States
Jason E. Savage United States
Tamihide Matsunaga Japan
Elizabeth M. Laurenzana United States
Xingxing Diao
Citations per year, relative to Xingxing Diao Xingxing Diao (= 1×) peers Elizabeth M. Laurenzana

Countries citing papers authored by Xingxing Diao

Since Specialization
Citations

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

Fields of papers citing papers by Xingxing Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingxing Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Xingxing Diao. A scholar is included among the top collaborators of Xingxing Diao 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 Xingxing Diao. Xingxing Diao 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.
Zheng, Shaojun, Xiaoyan Gao, Xingxing Diao, & Nai‐Dong Chen. (2025). Dendrobium huoshanense improves atherosclerosis in high-fat-induced ApoE mice by regulating gut microbiota and serum metabolite profiles. Phytomedicine. 145. 156964–156964. 1 indexed citations
2.
Li, Sheng, et al.. (2025). Prunus mume Alleviates Hyperuricemic Renal Injury: Insights From Network Pharmacology and Experimental Models. Biomedical Chromatography. 39(4). e70035–e70035.
3.
Zhong, Dafang, et al.. (2024). In vitro and In vivo Drug Metabolism Analysis of BPI-460372 - A Covalent TEAD1/3/4 Inhibitor. Current Drug Metabolism. 25(10). 754–768. 3 indexed citations
4.
Yu, Jinghua, et al.. (2023). A validated LC-MS/MS method for the quantification of bevacizumab in rat, cynomolgus monkey, and human serum. Journal of Pharmaceutical and Biomedical Analysis. 235. 115590–115590. 5 indexed citations
5.
Wang, Weiqiang, Jing Luo, Shu Wei Yan, et al.. (2023). Metabolism investigation of the peptide-drug conjugate LN005 in rats using UHPLC HRMS. Journal of Pharmaceutical and Biomedical Analysis. 238. 115860–115860. 3 indexed citations
6.
Zhang, Hua, Shu Yan, Sheng Ma, et al.. (2023). A mass balance study of [14C]SHR6390 (dalpiciclib), a selective and potent CDK4/6 inhibitor in humans. Frontiers in Pharmacology. 14. 1116073–1116073. 5 indexed citations
7.
Wu, Feifei, Huiyu Li, Qi An, et al.. (2023). Discovery of 7H-Pyrrolo[2,3-d]pyrimidine Derivatives as potent hematopoietic progenitor kinase 1 (HPK1) inhibitors. European Journal of Medicinal Chemistry. 254. 115355–115355. 16 indexed citations
8.
Wang, Zhen, et al.. (2023). Characterization of in-vivo human metabolites of the oral nucleoside anti-COVID-19 drug VV116 using UHPLC-Orbitrap-MS. Journal of Pharmaceutical and Biomedical Analysis. 228. 115340–115340. 2 indexed citations
9.
Wu, Yali, Lili Chen, Jian Chen, et al.. (2022). Covalent Binding Mechanism of Furmonertinib and Osimertinib With Human Serum Albumin. Drug Metabolism and Disposition. 51(1). 8–16. 11 indexed citations
10.
Liao, Liping, Wenzhen Dang, Tingting Lin, et al.. (2022). A potent PGK1 antagonist reveals PGK1 regulates the production of IL-1β and IL-6. Acta Pharmaceutica Sinica B. 12(11). 4180–4192. 26 indexed citations
11.
Wu, Yali, et al.. (2021). Metabolite Identification in the Preclinical and Clinical Phase of Drug Development. Current Drug Metabolism. 22(11). 838–857. 24 indexed citations
12.
Yang, Guixiang, Jiamin Sun, Lulu Zheng, et al.. (2021). Twin drug design, synthesis and evaluation of diosgenin derivatives as multitargeted agents for the treatment of vascular dementia. Bioorganic & Medicinal Chemistry. 37. 116109–116109. 7 indexed citations
13.
Zhang, Hua, Mengling Liu, Guangze Li, et al.. (2021). Pharmacokinetics, Mass Balance, and Metabolism of the Novel Urate Transporter 1 Inhibitor [14C]HR011303 in Humans: Metabolism Is Mediated Predominantly by UDP-Glucuronosyltransferase. Drug Metabolism and Disposition. 50(6). 798–808. 7 indexed citations
14.
Tian, Junjun, Ning Zhang, Xinyu Ge, et al.. (2021). Absorption, distribution, metabolism, and excretion of [14C]NBP (3-n-butylphthalide) in rats. Journal of Chromatography B. 1181. 122915–122915. 17 indexed citations
15.
Carlier, Jérémy, Xingxing Diao, & Marilyn A. Huestis. (2018). Synthetic cannabinoid BB-22 (QUCHIC): Human hepatocytes metabolism with liquid chromatography-high resolution mass spectrometry detection. Journal of Pharmaceutical and Biomedical Analysis. 157. 27–35. 24 indexed citations
16.
Zhu, Yunting, Liang Li, Ge Zhang, et al.. (2016). Metabolic characterization of pyrotinib in humans by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry. Journal of Chromatography B. 1033-1034. 117–127. 70 indexed citations
17.
Diao, Xingxing, Jérémy Carlier, Mingshe Zhu, et al.. (2016). In vitro and in vivo human metabolism of a new synthetic cannabinoid NM-2201 (CBL-2201). Forensic Toxicology. 35(1). 20–32. 36 indexed citations
18.
Jiang, Jinfang, Xuehai Pang, Xiaojian Dai, et al.. (2016). Effect of <em>N</em>-methyl deuteration on metabolism and pharmacokinetics of enzalutamide. Drug Design Development and Therapy. Volume 10. 2181–2191. 29 indexed citations
19.
20.
Diao, Xingxing, Haidong Wang, Dafang Zhong, et al.. (2013). Simultaneous quantitation of 3-n-butylphthalide (NBP) and its four major metabolites in human plasma by LC–MS/MS using deuterated internal standards. Journal of Pharmaceutical and Biomedical Analysis. 78-79. 19–26. 49 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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