Defang Ouyang

6.1k total citations · 2 hit papers
142 papers, 4.4k citations indexed

About

Defang Ouyang is a scholar working on Pharmaceutical Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Defang Ouyang has authored 142 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pharmaceutical Science, 45 papers in Molecular Biology and 32 papers in Materials Chemistry. Recurrent topics in Defang Ouyang's work include Drug Solubulity and Delivery Systems (43 papers), Analytical Chemistry and Chromatography (29 papers) and Computational Drug Discovery Methods (27 papers). Defang Ouyang is often cited by papers focused on Drug Solubulity and Delivery Systems (43 papers), Analytical Chemistry and Chromatography (29 papers) and Computational Drug Discovery Methods (27 papers). Defang Ouyang collaborates with scholars based in Macao, China and United Kingdom. Defang Ouyang's co-authors include Zhuyifan Ye, Jie Dong, Dongsheng Cao, Hanlu Gao, Aiping Lü, Ningning Wang, Wei Wang, Cheng Yan, Lin Zhang and Zhi‐Jiang Yao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Defang Ouyang

135 papers receiving 4.3k citations

Hit Papers

ADMETlab: a platform for ... 2018 2026 2020 2023 2018 2024 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Defang Ouyang 1.4k 986 816 740 592 142 4.4k
Chao Lü 2.3k 1.6× 739 0.7× 611 0.7× 810 1.1× 720 1.2× 109 5.4k
James E. Polli 1.5k 1.0× 2.6k 2.7× 607 0.7× 837 1.1× 398 0.7× 198 7.0k
Mohammed A. S. Abourehab 1.7k 1.2× 759 0.8× 288 0.4× 612 0.8× 1.3k 2.1× 226 5.5k
Peter W. Swaan 2.9k 2.0× 499 0.5× 686 0.8× 387 0.5× 582 1.0× 129 6.9k
Bhupinder Singh 1.5k 1.0× 3.5k 3.5× 344 0.4× 664 0.9× 568 1.0× 174 6.9k
Sarwar Beg 1.6k 1.1× 2.4k 2.4× 244 0.3× 734 1.0× 1.1k 1.8× 210 6.6k
Shinji Yamashita 1.4k 1.0× 2.9k 3.0× 205 0.3× 862 1.2× 312 0.5× 167 5.8k
Jian Wang 4.5k 3.1× 343 0.3× 588 0.7× 496 0.7× 471 0.8× 387 8.6k
Teruko Imai 1.2k 0.8× 989 1.0× 373 0.5× 245 0.3× 187 0.3× 147 4.4k
Christel A. S. Bergström 1.3k 0.9× 2.8k 2.9× 903 1.1× 1.8k 2.4× 459 0.8× 149 6.5k

Countries citing papers authored by Defang Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Defang Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Defang Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Defang Ouyang. A scholar is included among the top collaborators of Defang Ouyang 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 Defang Ouyang. Defang Ouyang 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.
Chen, Shi, et al.. (2025). Inhalable Artificial Polymeric Nucleases Degrading Neutrophil Extracellular Trap‐DNAs and Alleviating Pulmonary Fibrosis. Advanced Science. 12(34). e05357–e05357. 1 indexed citations
2.
Żołnowska, Beata, Katarzyna Ewa Greber, Aneta Pogorzelska, et al.. (2025). Machine learning-driven insights into retention mechanism in IAM chromatography of anticancer sulfonamides: Implications for biological efficacy. Journal of Chromatography A. 1751. 465911–465911.
3.
Wang, Nannan, et al.. (2025). Artificial intelligence for drug delivery: Yesterday, today and tomorrow. Acta Pharmaceutica Sinica B. 3 indexed citations
4.
Tan, Xiaorong, Qianhui Liu, Sen Yang, et al.. (2024). Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs. Briefings in Bioinformatics. 25(4). 8 indexed citations
5.
Deng, Shiwei, Yi‐Yang Wu, Zhuyifan Ye, & Defang Ouyang. (2024). In silico prediction of metabolic stability for ester-containing molecules: Machine learning and quantum mechanical methods. Chemometrics and Intelligent Laboratory Systems. 257. 105292–105292. 2 indexed citations
6.
Tan, Xiaorong, Yingli Zhu, Fei Chen, et al.. (2024). Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation. Molecular Pharmaceutics. 21(8). 4116–4127. 8 indexed citations
7.
Liu, Yupeng, Bingzhe Wang, Yunsen Zhang, et al.. (2024). Perylenedioic Acid‐Derived Carbon Dots with Near 100% Quantum Yield in Aqueous Solution for Lasing and Lighting. Advanced Functional Materials. 34(36). 58 indexed citations
8.
Ling, Hao, Qinyi Zhang, Qiuhua Luo, et al.. (2023). Dynamic immuno-nanomedicines in oncology. Journal of Controlled Release. 365. 668–687.
9.
Liu, Mingyang, Ruizhe Zhang, Hanwei Huang, et al.. (2023). Erythrocyte‐Leveraged Oncolytic Virotherapy (ELeOVt): Oncolytic Virus Assembly on Erythrocyte Surface to Combat Pulmonary Metastasis and Alleviate Side Effects. Advanced Science. 11(5). e2303907–e2303907. 13 indexed citations
10.
Dong, Jie, Zheng Wu, Huanle Xu, & Defang Ouyang. (2023). FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence. Briefings in Bioinformatics. 25(1). 38 indexed citations
11.
Zheng, Wenwen, et al.. (2022). Molecular Dynamics Simulation of Drug Solubilization Behavior in Surfactant and Cosolvent Injections. Pharmaceutics. 14(11). 2366–2366. 25 indexed citations
12.
Zhou, Shuang, Jinbo Li, Yu Jiang, et al.. (2022). Tumor microenvironment adrenergic nerves blockade liposomes for cancer therapy. Journal of Controlled Release. 351. 656–666. 14 indexed citations
13.
Zhang, Xiaowen, Jiayue Chen, Defang Ouyang, & Jiahong Lu. (2020). Quercetin in Animal Models of Alzheimer’s Disease: A Systematic Review of Preclinical Studies. International Journal of Molecular Sciences. 21(2). 493–493. 86 indexed citations
14.
Zhang, Shuang, Qi Zhu, Jiayue Chen, Defang Ouyang, & Jiahong Lu. (2020). The pharmacological activity of epigallocatechin-3-gallate (EGCG) on Alzheimer's disease animal model: A systematic review. Phytomedicine. 79. 153316–153316. 56 indexed citations
15.
Wu, Mingyue, Le Liu, Haitao Xiao, et al.. (2020). PI3KC3 complex subunit NRBF2 is required for apoptotic cell clearance to restrict intestinal inflammation. Autophagy. 17(5). 1096–1111. 65 indexed citations
16.
Zhong, Hao, Ging Chan, Hu Y, Hao Hu, & Defang Ouyang. (2018). A Comprehensive Map of FDA-Approved Pharmaceutical Products. Pharmaceutics. 10(4). 263–263. 219 indexed citations
17.
Zhao, Qianqian, Yan Su, Weijie Chen, et al.. (2018). Computer-Aided Formulation Design for a Highly Soluble Lutein–Cyclodextrin Multiple-Component Delivery System. Molecular Pharmaceutics. 15(4). 1664–1673. 52 indexed citations
19.
Han, Run, Yilong Yang, Xiaoshan Li, & Defang Ouyang. (2018). Predicting oral disintegrating tablet formulations by neural network techniques. Asian Journal of Pharmaceutical Sciences. 13(4). 336–342. 67 indexed citations
20.
Yin, Hang, Jian‐Bo Wan, Ying Zheng, et al.. (2016). Molecular Encapsulation of Histamine H2-Receptor Antagonists by Cucurbit[7]Uril: An Experimental and Computational Study. Molecules. 21(9). 1178–1178. 7 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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