Yanyan Diao

619 total citations
33 papers, 436 citations indexed

About

Yanyan Diao is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Yanyan Diao has authored 33 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Oncology. Recurrent topics in Yanyan Diao's work include Chronic Lymphocytic Leukemia Research (7 papers), Computational Drug Discovery Methods (7 papers) and Biochemical and Molecular Research (7 papers). Yanyan Diao is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Computational Drug Discovery Methods (7 papers) and Biochemical and Molecular Research (7 papers). Yanyan Diao collaborates with scholars based in China, Norway and Hong Kong. Yanyan Diao's co-authors include Honglin Li, Zhenjiang Zhao, Jin Huang, Yufang Xu, Li Zhu, Minghao Xu, Junsheng Zhu, Xiaoli Ren, Jing Jiang and Wei‐Lie Xiao and has published in prestigious journals such as Nature Communications, Bioinformatics and Langmuir.

In The Last Decade

Yanyan Diao

31 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanyan Diao China 13 256 103 65 57 56 33 436
Fereidoon Daryaee United States 12 227 0.9× 94 0.9× 65 1.0× 77 1.4× 39 0.7× 18 463
Jae-June Dong South Korea 13 183 0.7× 48 0.5× 106 1.6× 95 1.7× 39 0.7× 27 422
Opeyemi Soremekun South Africa 14 178 0.7× 50 0.5× 38 0.6× 59 1.0× 47 0.8× 61 468
Terence Beghyn France 11 278 1.1× 120 1.2× 33 0.5× 25 0.4× 64 1.1× 15 465
Jan S. Kramer Germany 13 211 0.8× 118 1.1× 38 0.6× 51 0.9× 40 0.7× 32 530
Lisa Gruber Germany 17 319 1.2× 72 0.7× 50 0.8× 27 0.5× 68 1.2× 21 677
Siddharth Sinha Macao 12 284 1.1× 26 0.3× 52 0.8× 72 1.3× 65 1.2× 30 516
Satyavani Kaliamurthi China 16 294 1.1× 53 0.5× 36 0.6× 67 1.2× 33 0.6× 33 633
Adrian Begaye United States 5 133 0.5× 64 0.6× 100 1.5× 77 1.4× 134 2.4× 6 387

Countries citing papers authored by Yanyan Diao

Since Specialization
Citations

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

Fields of papers citing papers by Yanyan Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanyan Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Yanyan Diao. A scholar is included among the top collaborators of Yanyan Diao 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 Yanyan Diao. Yanyan Diao 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.
2.
Jia, Xiaotong, Ziqi Chen, Hongjie Bi, et al.. (2025). Exploring the macrocyclic chemical space for heuristic drug design with deep learning models. Communications Chemistry. 8(1). 299–299.
3.
Hu, Yuting, et al.. (2024). Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds. Journal of Chemical Information and Modeling. 64(14). 5624–5633. 4 indexed citations
4.
Diao, Yanyan, et al.. (2023). MacFrag: segmenting large-scale molecules to obtain diverse fragments with high qualities. Bioinformatics. 39(1). 12 indexed citations
5.
Diao, Yanyan, Dandan Liu, Huan Ge, et al.. (2023). Macrocyclization of linear molecules by deep learning to facilitate macrocyclic drug candidates discovery. Nature Communications. 14(1). 25–42. 24 indexed citations
6.
Dou, Dou, Yanyan Diao, Zhenjiang Zhao, et al.. (2021). Discovery of pyrido[3,4-b]indol-1-one derivatives as novel non-covalent Bruton’s tyrosine kinase (BTK) inhibitors. Bioorganic Chemistry. 119. 105541–105541. 3 indexed citations
7.
Diao, Yanyan, Huan Ge, Fangling Xu, et al.. (2020). Discovery and optimization of 2-aminopyridine derivatives as novel and selective JAK2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 30(8). 127048–127048. 8 indexed citations
8.
Wang, Wanqi, Yanyan Diao, Wenjie Li, et al.. (2019). Design, synthesis and structure-activity relationship study of aminopyridine derivatives as novel inhibitors of Janus kinase 2. Bioorganic & Medicinal Chemistry Letters. 29(12). 1507–1513. 14 indexed citations
9.
Chen, Haiyang, Peiran Song, Yanyan Diao, et al.. (2018). Discovery and biological evaluation of N5-substituted 6,7-dioxo-6,7-dihydropteridine derivatives as potent Bruton's tyrosine kinase inhibitors. MedChemComm. 9(4). 697–704. 4 indexed citations
10.
Diao, Yanyan, Jing Jiang, Shoude Zhang, et al.. (2018). Discovery of Natural Products as Novel and Potent FXR Antagonists by Virtual Screening. Frontiers in Chemistry. 6. 140–140. 14 indexed citations
11.
Li, Juan, Yu Chen, Qiqi Fan, et al.. (2018). Simultaneous determination of the novel anti-tumor candidate drug MDH-7 and 5-fluorouracil in rat plasma by LC-MS/MS: Application to pharmacokinetic interactions. Journal of Chromatography B. 1095. 235–240. 7 indexed citations
12.
Wang, Jiawei, Yanyan Diao, Junsheng Zhu, et al.. (2016). Biological evaluation of quinoline derivatives as inhibitors of human dihydroorotate dehydrogenase. MedChemComm. 7(5). 853–858. 1 indexed citations
13.
Li, Shiliang, Xiaoli Ren, Liuxin Xu, et al.. (2015). Rational Design of Benzylidenehydrazinyl-Substituted Thiazole Derivatives as Potent Inhibitors of Human Dihydroorotate Dehydrogenase with in Vivo Anti-arthritic Activity. Scientific Reports. 5(1). 14836–14836. 20 indexed citations
14.
Diao, Yanyan, et al.. (2014). Modulatory effects of taurine on jejunal contractility. Brazilian Journal of Medical and Biological Research. 47(12). 1068–1074. 3 indexed citations
15.
Xu, Minghao, Junsheng Zhu, Yanyan Diao, et al.. (2013). Novel Selective and Potent Inhibitors of Malaria Parasite Dihydroorotate Dehydrogenase: Discovery and Optimization of Dihydrothiophenone Derivatives. Journal of Medicinal Chemistry. 56(20). 7911–7924. 48 indexed citations
16.
Jiang, Jing, Shoude Zhang, Li Zhu, et al.. (2013). Discovery of natural estrogen receptor modulators with structure-based virtual screening. Bioorganic & Medicinal Chemistry Letters. 23(11). 3329–3333. 21 indexed citations
17.
Zou, Juan, Libin Yang, Jing Jiang, et al.. (2012). Lanostane Triterpenoids from the Stems ofSchisandra glaucescens. Planta Medica. 78(5). 472–479. 22 indexed citations
18.
Zou, Juan, Jing Jiang, Yanyan Diao, et al.. (2012). Cycloartane triterpenoids from the stems of Schisandra glaucescens and their bioactivity. Fitoterapia. 83(5). 926–931. 22 indexed citations
19.
Zhang, Jin, Jing Zhou, Xiaomei Ren, et al.. (2010). A new diaryl urea compound, D181, induces cell cycle arrest in the G1 and M phases by targeting receptor tyrosine kinases and the microtubule skeleton. Investigational New Drugs. 30(2). 490–507. 9 indexed citations
20.
Li, Wei, et al.. (2009). New Roughness Parameter for the Characterization of Regularly Textured or Ordered Patterned Superhydrophobic Surfaces. Langmuir. 25(11). 6076–6080. 11 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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