Wenkui Li

3.1k total citations
62 papers, 2.1k citations indexed

About

Wenkui Li is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Wenkui Li has authored 62 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 27 papers in Immunology and 17 papers in Pharmacology. Recurrent topics in Wenkui Li's work include Biosimilars and Bioanalytical Methods (26 papers), Natural product bioactivities and synthesis (13 papers) and Pesticide Residue Analysis and Safety (7 papers). Wenkui Li is often cited by papers focused on Biosimilars and Bioanalytical Methods (26 papers), Natural product bioactivities and synthesis (13 papers) and Pesticide Residue Analysis and Safety (7 papers). Wenkui Li collaborates with scholars based in United States, Switzerland and China. Wenkui Li's co-authors include Francis L. S. Tse, Richard B. van Breemen, John F. Fitzloff, Yi Tao, Zhongping Lin, Harry H. S. Fong, Jie Zhang, Ruyi Zhang, Jimmy Flarakos and Pei‐Gen Xiao and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Journal of Ethnopharmacology.

In The Last Decade

Wenkui Li

60 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenkui Li United States 24 1.1k 545 509 359 242 62 2.1k
Wenbin Shang China 26 1.1k 1.0× 242 0.4× 261 0.5× 360 1.0× 111 0.5× 85 2.2k
Jiangyong Gu China 19 1.1k 1.1× 181 0.3× 482 0.9× 385 1.1× 315 1.3× 55 2.0k
Langchong He China 24 989 0.9× 151 0.3× 409 0.8× 221 0.6× 603 2.5× 65 1.9k
Takuhiro Uto Japan 26 1.1k 1.1× 282 0.5× 412 0.8× 191 0.5× 212 0.9× 93 2.1k
Sandhya Mandlekar United States 28 2.1k 2.0× 244 0.4× 432 0.8× 216 0.6× 97 0.4× 70 3.6k
Zhanying Hong China 24 917 0.9× 85 0.2× 330 0.6× 316 0.9× 223 0.9× 96 1.9k
Hang Zeng China 28 779 0.7× 155 0.3× 523 1.0× 98 0.3× 73 0.3× 54 1.9k
Woongchon Mar South Korea 28 1.0k 1.0× 101 0.2× 217 0.4× 413 1.2× 168 0.7× 86 2.2k
Xiaolan Cheng China 28 929 0.9× 112 0.2× 390 0.8× 151 0.4× 358 1.5× 62 1.8k
Anfernee Kai‐Wing Tse Hong Kong 28 980 0.9× 218 0.4× 314 0.6× 208 0.6× 165 0.7× 58 2.0k

Countries citing papers authored by Wenkui Li

Since Specialization
Citations

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

Fields of papers citing papers by Wenkui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenkui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wenkui Li. A scholar is included among the top collaborators of Wenkui Li 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 Wenkui Li. Wenkui Li 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.
Li, Wenkui, Gordon J. Dear, Jason Boer, et al.. (2023). Metabolite Bioanalysis in Drug Development: Recommendations from the IQ Consortium Metabolite Bioanalysis Working Group. Clinical Pharmacology & Therapeutics. 115(5). 939–953. 1 indexed citations
2.
Keller, Stephen, Jorge Quiroz, Enaksha Wickremsinhe, et al.. (2021). The Effectiveness of Quality Control Samples in Pharmaceutical Bioanalysis. Bioanalysis. 13(3). 135–145.
3.
4.
Li, Wenkui, et al.. (2017). LC–MS/MS determination of a human mAb drug candidate in rat serum using an isotopically labeled universal mAb internal standard. Journal of Chromatography B. 1044-1045. 166–176. 14 indexed citations
5.
Heimbach, Tycho, et al.. (2016). Clinical Exposure Boost Predictions by Integrating Cytochrome P450 3A4–Humanized Mouse Studies With PBPK Modeling. Journal of Pharmaceutical Sciences. 105(4). 1398–1404. 4 indexed citations
6.
Li, Wenkui, et al.. (2015). LC–MS/MS bioanalysis of loratadine (Claritin) in dried blood spot (DBS) samples collected by subjects in a clinical research study. Journal of Chromatography B. 983-984. 117–124. 6 indexed citations
7.
Fu, Yunlin, Wenkui Li, Jimmy Flarakos, & Francis L. S. Tse. (2015). Quantitative analysis of pasireotide (SOM230), a cyclic peptide, in monkey plasma using liquid chromatography in combination with tandem mass spectrometry. Journal of Chromatography B. 1008. 242–249. 9 indexed citations
8.
Li, Wenkui, et al.. (2014). A semi-automated LC–MS/MS method for the determination of LCI699, a steroid 11β-hydroxylase inhibitor, in human plasma. Journal of Chromatography B. 960. 182–193. 6 indexed citations
9.
Fluhler, Eric, Faye Vazvaei, Puran Singhal, et al.. (2014). Repeat Analysis and Incurred Sample Reanalysis: Recommendation for Best Practices and Harmonization from the Global Bioanalysis Consortium Harmonization Team. The AAPS Journal. 16(6). 1167–1174. 34 indexed citations
10.
Hamberg, Paul, Margaret M. Woo, Lin‐Chi Chen, et al.. (2011). Effect of ketoconazole-mediated CYP3A4 inhibition on clinical pharmacokinetics of panobinostat (LBH589), an orally active histone deacetylase inhibitor. Cancer Chemotherapy and Pharmacology. 68(3). 805–813. 42 indexed citations
11.
Li, Wenkui, et al.. (2011). Quantitative analysis of NIM811, a cyclophilin inhibitor, in human dried blood spots using liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 879(24). 2376–2382. 12 indexed citations
12.
Li, Wenkui, Jie Zhang, & Francis L. S. Tse. (2010). Strategies in quantitative LC‐MS/MS analysis of unstable small molecules in biological matrices. Biomedical Chromatography. 25(1-2). 258–277. 103 indexed citations
13.
Breemen, Richard B. van, Yi Tao, & Wenkui Li. (2010). Cyclooxygenase-2 inhibitors in ginger (Zingiber officinale). Fitoterapia. 82(1). 38–43. 154 indexed citations
14.
Li, Wenkui, et al.. (2009). Supported liquid extraction in combination with LC‐MS/MS for high‐throughput quantitative analysis of hydrocortisone in mouse serum. Biomedical Chromatography. 24(6). 632–638. 24 indexed citations
15.
Tao, Yi, Wenkui Li, Wenzhong Liang, & Richard B. van Breemen. (2009). Identification and Quantification of Gingerols and Related Compounds in Ginger Dietary Supplements Using High-Performance Liquid Chromatography−Tandem Mass Spectrometry. Journal of Agricultural and Food Chemistry. 57(21). 10014–10021. 87 indexed citations
16.
Lin, Zhongping, et al.. (2007). Application of LC–MS for quantitative analysis and metabolite identification of therapeutic oligonucleotides. Journal of Pharmaceutical and Biomedical Analysis. 44(2). 330–341. 90 indexed citations
17.
18.
Sun, Yongkai, Wenkui Li, John F. Fitzloff, & Richard B. van Breemen. (2005). Liquid chromatography/electrospray tandem mass spectrometry of terpenoid lactones in Ginkgo biloba. Journal of Mass Spectrometry. 40(3). 373–379. 35 indexed citations
19.
Li, Wenkui, et al.. (1998). Effect of berbamine on T-cell mediated immunity and the prevention of rejection on skin transplants in mice. Journal of Ethnopharmacology. 59(3). 211–215. 24 indexed citations
20.

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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