Yan Weng

3.6k total citations · 1 hit paper
86 papers, 2.7k citations indexed

About

Yan Weng is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Yan Weng has authored 86 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Pharmacology and 12 papers in Physiology. Recurrent topics in Yan Weng's work include Pharmacogenetics and Drug Metabolism (9 papers), Drug Transport and Resistance Mechanisms (9 papers) and Natural product bioactivities and synthesis (7 papers). Yan Weng is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Drug Transport and Resistance Mechanisms (9 papers) and Natural product bioactivities and synthesis (7 papers). Yan Weng collaborates with scholars based in China, United States and Japan. Yan Weng's co-authors include Xinxin Ding, Aidong Wen, Chao Guo, Jialin Duan, Wei Guo, Roberto A. Calle, Jia Cui, Saswata Talukdar, Melissa Behr and J Chabot and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Yan Weng

83 papers receiving 2.7k citations

Hit Papers

A Long-Acting FGF21 Molecule, PF-05231023, Decreases Body... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Weng China 29 1.4k 471 336 250 245 86 2.7k
Xiaojun Xu China 32 1.5k 1.0× 337 0.7× 277 0.8× 324 1.3× 313 1.3× 83 2.9k
Jianqiang Yu China 29 1.4k 1.0× 214 0.5× 371 1.1× 243 1.0× 150 0.6× 126 2.9k
Keon Wook Kang South Korea 30 1.7k 1.2× 226 0.5× 335 1.0× 209 0.8× 292 1.2× 87 2.7k
Fang Huang China 28 1.2k 0.8× 280 0.6× 214 0.6× 413 1.7× 383 1.6× 98 2.6k
Raekil Park South Korea 31 1.4k 1.0× 280 0.6× 275 0.8× 274 1.1× 177 0.7× 74 3.0k
Chang‐Seon Myung South Korea 28 1.5k 1.0× 241 0.5× 168 0.5× 220 0.9× 197 0.8× 104 2.4k
Li Chu China 33 1.4k 1.0× 475 1.0× 656 2.0× 281 1.1× 311 1.3× 189 3.5k
Li Liu China 28 951 0.7× 439 0.9× 505 1.5× 188 0.8× 197 0.8× 151 2.3k
Xiaoyan Zhao China 27 985 0.7× 249 0.5× 225 0.7× 217 0.9× 157 0.6× 99 2.3k
Jiye Aa China 30 2.0k 1.4× 472 1.0× 311 0.9× 318 1.3× 286 1.2× 109 3.2k

Countries citing papers authored by Yan Weng

Since Specialization
Citations

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

Fields of papers citing papers by Yan Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Weng. A scholar is included among the top collaborators of Yan Weng 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 Yan Weng. Yan Weng 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.
Miao, Shan, Rui Zhang, Xin‐shang Wang, et al.. (2025). p38 protein as a therapeutic target for sepsis-induced organ dysfunction. European Journal of Pharmacology. 1002. 177833–177833.
3.
Weng, Yan, Kari R. Fonseca, Yi‐An Bi, et al.. (2022). Transporter-Enzyme Interplay in the Pharmacokinetics of PF-06835919, a First-In-Class Ketohexokinase Inhibitor for Metabolic Disorders and Nonalcoholic Fatty Liver Disease. Drug Metabolism and Disposition. 50(9). 1312–1321. 6 indexed citations
4.
Wang, Yu, Yan Weng, Katsuya Nakai, et al.. (2022). Selective induction of thymic stromal lymphopoietin expression by novel nitrogen-containing steroid compounds in PAM-212 cells. Journal of Translational Autoimmunity. 6. 100186–100186.
5.
Wang, Mingming, Chao Guo, Wei Zhang, et al.. (2022). Beta-Boswellic Acid Protects Against Cerebral Ischemia/Reperfusion Injury via the Protein Kinase C Epsilon/Nuclear Factor Erythroid 2-like 2/Heme Oxygenase-1 Pathway. Molecular Neurobiology. 59(7). 4242–4256. 3 indexed citations
6.
Weng, Yan, et al.. (2019). A presumed iridocyclitis developed to panophthalmitis caused by a non-metallic intraocular foreign body. International Journal of Ophthalmology. 12(5). 870–872. 2 indexed citations
8.
Jiang, Nan, Lijie Pan, Liwei Zhang, et al.. (2017). Potential plasma lipid biomarkers in early-stage breast cancer. Biotechnology Letters. 39(11). 1657–1666. 27 indexed citations
9.
Weng, Yan, Natsumi Mizuno, Takayuki Yonezawa, et al.. (2017). Induction of thymic stromal lymphopoietin by a steroid alkaloid derivative in mouse keratinocytes. International Immunopharmacology. 55. 28–37. 3 indexed citations
10.
Talukdar, Saswata, Yingjiang Zhou, Dongmei Li, et al.. (2016). A Long-Acting FGF21 Molecule, PF-05231023, Decreases Body Weight and Improves Lipid Profile in Non-human Primates and Type 2 Diabetic Subjects. Cell Metabolism. 23(3). 427–440. 406 indexed citations breakdown →
11.
Giragossian, Craig, Jun Li, Nicole Piche‐Nicholas, et al.. (2015). Mechanistic Investigation of the Preclinical Pharmacokinetics and Interspecies Scaling of PF-05231023, a Fibroblast Growth Factor 21–Antibody Protein Conjugate. Drug Metabolism and Disposition. 43(6). 803–811. 19 indexed citations
13.
Quan, Wei, Wei Guo, Dan Zhou, et al.. (2013). Magnesium lithospermate B reduces myocardial ischemia/reperfusion injury in ratsviaregulating the inflammation response. Pharmaceutical Biology. 51(11). 1355–1362. 17 indexed citations
14.
Stanton, Robert V., Simone Sciabola, Christopher T. Salatto, et al.. (2012). Chemical Modification Study of Antisense Gapmers. Nucleic Acid Therapeutics. 22(5). 344–359. 87 indexed citations
15.
Ren, Tianyang, et al.. (2012). Improvement in the efficacy of dexketoprofen by its prodrug in lipid emulsion. European Journal of Lipid Science and Technology. 115(2). 153–160. 2 indexed citations
16.
Chen, Wei, Yuqiang Miao, Shenshen Yang, et al.. (2011). Enhancing effects of chitosan and chitosan hydrochloride on intestinal absorption of berberine in rats. Drug Development and Industrial Pharmacy. 38(1). 104–110. 50 indexed citations
17.
Weng, Yan, Cheng Fang, Robert J. Turesky, et al.. (2007). Determination of the Role of Target Tissue Metabolism in Lung Carcinogenesis Using Conditional Cytochrome P 450 Reductase-Null Mice. Cancer Research. 67(16). 7825–7832. 71 indexed citations
18.
Weng, Yan, et al.. (2007). Expression Changes of Mitogen-activated Protein Kinase Phosphatase-1 (MKP-1) in Myocardium of Streptozotocin-Induced Diabetic Rats. Experimental and Clinical Endocrinology & Diabetes. 115(7). 455–460. 16 indexed citations
19.
Gu, Jun, Yan Weng, Qing-Yu Zhang, et al.. (2003). Liver-specific Deletion of the NADPH-Cytochrome P450 Reductase Gene. Journal of Biological Chemistry. 278(28). 25895–25901. 173 indexed citations
20.
Wu, Lin, Jun Gu, Yan Weng, et al.. (2003). Conditional knockout of the mouse NADPH‐cytochrome p450 reductase gene. genesis. 36(4). 177–181. 59 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026