Yongcui Wang

1.1k total citations
38 papers, 651 citations indexed

About

Yongcui Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Yongcui Wang has authored 38 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 5 papers in Pharmacology. Recurrent topics in Yongcui Wang's work include Computational Drug Discovery Methods (13 papers), Machine Learning in Bioinformatics (8 papers) and Bioinformatics and Genomic Networks (7 papers). Yongcui Wang is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Machine Learning in Bioinformatics (8 papers) and Bioinformatics and Genomic Networks (7 papers). Yongcui Wang collaborates with scholars based in China, United States and Japan. Yongcui Wang's co-authors include Nai-Yang Deng, Shilong Chen, Yong Wang, Zhixia Yang, Jiguang Wang, Weiling Zhao, Xiaobo Wang, Yong Wang, Chunhua Zhang and Yingxi Yang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Yongcui Wang

35 papers receiving 642 citations

Peers

Yongcui Wang

CTM

PHARM

Nir Atias Israel

Mohan Rao United States

Jian Yin China

Jayme Holmes United States

Zhaorong Li China

Sayaka Mizutani Japan

Uma D. Vempati United States

Tomohiro Sato Japan

Minjie Mou China

Shuaishi Gao China

Nir Atias Israel

Yongcui Wang

509 ×0.9

269 ×0.8

CTM

92 ×2.0

27 ×0.8

PHARM

77 ×2.4

PHARM

Citations per year, relative to Yongcui Wang Yongcui Wang (= 1×) peers Nir Atias

Countries citing papers authored by Yongcui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yongcui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongcui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongcui Wang. A scholar is included among the top collaborators of Yongcui 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 Yongcui Wang. Yongcui Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Tian-Ze, Minmin Hu, Fengjiao Li, et al.. (2025). Discovery of dimeric guaianolides with all carbon linkers as potential antihepatoma agents. European Journal of Medicinal Chemistry. 300. 118160–118160. 1 indexed citations

Chen, Shilong, et al.. (2025). Systematic prediction of synergistic drug combinations through network-based deep learning framework. Expert Systems with Applications. 270. 126566–126566. 1 indexed citations

Zhang, Tao, et al.. (2025). The molecular characteristics of congenital muscular torticollis patients living in Qinghai-Tibetan Plateau. Molecular & cellular biomechanics. 22(2). 1250–1250. 1 indexed citations

Wang, Yongcui & Yong Wang. (2024). Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles. npj Systems Biology and Applications. 10(1). 62–62. 1 indexed citations

Li, Yanli, et al.. (2024). Genome-wide investigation of the OR gene family in Helicoverpa armigera and functional analysis of OR48 and OR75 in metamorphosis development. International Journal of Biological Macromolecules. 278(Pt 1). 134646–134646. 1 indexed citations

Li, Tian-Ze, Xiaotong Yang, Wenjing Ma, et al.. (2023). Design, synthesis, and biological evaluation of artemyrianolide H derivatives as potential antihepatoma agents. Bioorganic Chemistry. 137. 106617–106617. 5 indexed citations

Chen, Shilong, et al.. (2022). The molecular characteristics of gastric cancer patients living in Qinghai-Tibetan Plateau. BMC Gastroenterology. 22(1). 244–244. 1 indexed citations

Wang, Yongcui, Yingxi Yang, Shilong Chen, & Jiguang Wang. (2021). DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration. Briefings in Bioinformatics. 22(5). 52 indexed citations

Zhang, Yongxia, et al.. (2020). The Clinical and Molecular Characterization of Gastric Cancer Patients in Qinghai-Tibetan Plateau. Frontiers in Oncology. 10. 1033–1033. 3 indexed citations

10.

Rui, Yuan, Shilong Chen, & Yongcui Wang. (2020). Computational Prediction of Drug Responses in Cancer Cell Lines From Cancer Omics and Detection of Drug Effectiveness Related Methylation Sites. Frontiers in Genetics. 11. 917–917. 11 indexed citations

11.

Xu, Yungang, Yongcui Wang, Jiesi Luo, Weiling Zhao, & Xiaobo Zhou. (2017). Deep learning of the splicing (epi)genetic code reveals a novel candidate mechanism linking histone modifications to ESC fate decision. Nucleic Acids Research. 45(21). 12100–12112. 56 indexed citations

12.

Wang, Yongcui, Jianwen Fang, & Shilong Chen. (2016). Inferences of drug responses in cancer cells from cancer genomic features and compound chemical and therapeutic properties. Scientific Reports. 6(1). 32679–32679. 24 indexed citations

13.

Wang, Yongcui, Weiling Zhao, & Xiaobo Zhou. (2016). Matrix factorization reveals aging-specific co-expression gene modules in the fat and muscle tissues in nonhuman primates. Scientific Reports. 6(1). 34335–34335. 4 indexed citations

14.

Wang, Yongcui, et al.. (2013). Correction: Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data. PLoS ONE. 8(12). 4 indexed citations

15.

Wang, Yongcui, Shilong Chen, Nai-Yang Deng, & Yong Wang. (2013). Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data. PLoS ONE. 8(11). e78518–e78518. 117 indexed citations

16.

Xu, Yan, Xiaobo Wang, Yongcui Wang, et al.. (2013). Prediction of posttranslational modification sites from amino acid sequences with kernel methods. Journal of Theoretical Biology. 344. 78–87. 40 indexed citations

17.

Ren, Xianwen, Yongcui Wang, Yong Wang, Xiang‐Sun Zhang, & Nai-Yang Deng. (2011). Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation. BMC Bioinformatics. 12(1). 409–409. 7 indexed citations

18.

Wang, Yongcui, Yong Wang, Zhixia Yang, & Nai-Yang Deng. (2011). Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. BMC Systems Biology. 5(S1). S6–S6. 32 indexed citations

19.

Wang, Yongcui, Xiaobo Wang, Zhixia Yang, & Nai-Yang Deng. (2010). Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature. Protein and Peptide Letters. 17(11). 1441–1449. 61 indexed citations

20.

Wang, Yongcui, Yingjie Tian, & Nai-Yang Deng. (2008). Distinguishing enzymes from non-enzymes via support vector machine. Open Forum Infectious Diseases. 7(6). ofaa187–ofaa187. 3 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