Yanxing Wang

536 total citations
21 papers, 344 citations indexed

About

Yanxing Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Yanxing Wang has authored 21 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 6 papers in Materials Chemistry. Recurrent topics in Yanxing Wang's work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (6 papers) and Muscle Physiology and Disorders (3 papers). Yanxing Wang is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (6 papers) and Muscle Physiology and Disorders (3 papers). Yanxing Wang collaborates with scholars based in China, United States and Thailand. Yanxing Wang's co-authors include Zhenming Liu, Liangren Zhang, Peter J. Roach, Yibo Li, Jianxing Hu, Lan Jiang, Hongwei Jin, Xiaodong Dou, Lihe Zhang and Ning Jiao and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Yanxing Wang

21 papers receiving 339 citations

Peers

Yanxing Wang
Wei P. Feinstein United States
Elissa A. Fink United States
Liliana Halip Romania
Yi Hua China
Anand Balupuri South Korea
Jessica M. Strasser United States
Chase M. Webb United States
Bhanuranjan Das India
Andreas Luttens Sweden
Wei P. Feinstein United States
Yanxing Wang
Citations per year, relative to Yanxing Wang Yanxing Wang (= 1×) peers Wei P. Feinstein

Countries citing papers authored by Yanxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanxing Wang. A scholar is included among the top collaborators of Yanxing Wang 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 Yanxing Wang. Yanxing Wang 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.
Wang, Yanxing, Wentao Wang, Bingjie Chen, et al.. (2025). MMP2 regulates proliferation and differentiation in chicken primary myoblasts, and RNA-seq screens for key genes. Gene. 943. 149268–149268. 1 indexed citations
2.
Cai, Hanfang, Yanxing Wang, Ruili Han, et al.. (2024). Whole transcriptome profiling reveals a lncMDP1 that regulates myogenesis by adsorbing miR-301a-5p targeting CHAC1. Communications Biology. 7(1). 518–518. 7 indexed citations
3.
Yang, Yan, et al.. (2024). Wee1 inhibitor optimization through deep-learning-driven decision making. European Journal of Medicinal Chemistry. 280. 116912–116912. 1 indexed citations
4.
Wang, Yanxing, et al.. (2024). Incorporating Neural Networks into the AMOEBA Polarizable Force Field. The Journal of Physical Chemistry B. 128(10). 2381–2388. 6 indexed citations
5.
6.
Li, Wenya, Yanxing Wang, Hong Li, et al.. (2023). The VGLL2 gene participates in muscle development in Gushi chickens1. Journal of Integrative Agriculture. 5 indexed citations
7.
Wang, Yanxing, et al.. (2023). Current Trends and Challenges in Drug-Likeness Prediction: Are They Generalizable and Interpretable?. SHILAP Revista de lepidopterología. 3. 98–98. 8 indexed citations
8.
Wang, Yanxing, Brandon Walker, Chengwen Liu, & Pengyu Ren. (2022). An Efficient Approach to Large-Scale Ab Initio Conformational Energy Profiles of Small Molecules. Molecules. 27(23). 8567–8567. 4 indexed citations
9.
Fan, Sairong, Yanxing Wang, Yue Zhang, Yamin Wu, & Xiaohong Chen. (2021). Achyranthes bidentata Polysaccharide Activates Nuclear Factor-Kappa B and Promotes Cytokine Production in J774A.1 Cells Through TLR4/MyD88 Signaling Pathway. Frontiers in Pharmacology. 12. 753599–753599. 9 indexed citations
10.
Wang, Yanxing, et al.. (2021). Accurate microwave filter design based on particle swarm optimization and one‐dimensional convolution autoencoders. International Journal of RF and Microwave Computer-Aided Engineering. 32(4). 7 indexed citations
11.
Wang, Yanxing, et al.. (2020). AIScaffold: A Web-Based Tool for Scaffold Diversification Using Deep Learning. Journal of Chemical Information and Modeling. 61(1). 1–6. 10 indexed citations
12.
Hu, Jianxing, Yanxing Wang, Xin Zhou, et al.. (2020). Privileged Scaffold Analysis of Natural Products with Deep Learning‐based Indication Prediction Model. Molecular Informatics. 39(11). e2000057–e2000057. 9 indexed citations
13.
14.
Wang, Yanxing, Xiaodong Dou, Lan Jiang, et al.. (2019). Discovery of novel glycogen synthase kinase-3α inhibitors: Structure-based virtual screening, preliminary SAR and biological evaluation for treatment of acute myeloid leukemia. European Journal of Medicinal Chemistry. 171. 221–234. 18 indexed citations
15.
Xue, Yu, Xiaomeng He, Yuxi Wang, et al.. (2019). Discovery of fused heterocyclic carboxamide derivatives as novel α7-nAChR agonists: Synthesis, preliminary SAR and biological evaluation. European Journal of Medicinal Chemistry. 182. 111618–111618. 8 indexed citations
16.
Hu, Jianxing, et al.. (2019). Graph-based generative models for de Novo drug design. Drug Discovery Today Technologies. 32-33. 45–53. 26 indexed citations
17.
Li, Yibo, et al.. (2019). DeepScaffold: A Comprehensive Tool for Scaffold-Based De Novo Drug Discovery Using Deep Learning. Journal of Chemical Information and Modeling. 60(1). 77–91. 78 indexed citations
18.
Liu, Yanfei, Yanxing Wang, Zhenzhen Wang, et al.. (2018). Discovery of acylphloroglucinol-based meroterpenoid enantiomers as KSHV inhibitors from Hypericum japonicum. RSC Advances. 8(43). 24101–24109. 16 indexed citations
19.
Dou, Xiaodong, Lan Jiang, Yanxing Wang, et al.. (2017). Discovery of new GSK-3β inhibitors through structure-based virtual screening. Bioorganic & Medicinal Chemistry Letters. 28(2). 160–166. 22 indexed citations
20.
Wang, Yanxing & Peter J. Roach. (1993). Inactivation of rabbit muscle glycogen synthase by glycogen synthase kinase-3. Dominant role of the phosphorylation of Ser-640 (site-3a).. Journal of Biological Chemistry. 268(32). 23876–23880. 55 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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