Yang Dai

1.9k total citations
60 papers, 1.4k citations indexed

About

Yang Dai is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Yang Dai has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 15 papers in Molecular Biology and 12 papers in Materials Chemistry. Recurrent topics in Yang Dai's work include Fibroblast Growth Factor Research (8 papers), Conducting polymers and applications (8 papers) and Kruppel-like factors research (7 papers). Yang Dai is often cited by papers focused on Fibroblast Growth Factor Research (8 papers), Conducting polymers and applications (8 papers) and Kruppel-like factors research (7 papers). Yang Dai collaborates with scholars based in China, Germany and United States. Yang Dai's co-authors include Wen‐Chung Liu, Chao‐Ming Wu, Jingying Xie, Ke Wang, Jing Ai, Jiachang Zhao, Yuan Shao, Chris Elly, Yoav Altman and Deyu Fang and has published in prestigious journals such as Journal of Biological Chemistry, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Yang Dai

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Dai China 17 632 272 230 225 224 60 1.4k
Bo Du China 21 570 0.9× 201 0.7× 439 1.9× 191 0.8× 753 3.4× 78 1.7k
Zhihua Tian China 19 167 0.3× 328 1.2× 303 1.3× 192 0.9× 163 0.7× 76 1.5k
Yunchao Xu China 20 453 0.7× 182 0.7× 171 0.7× 102 0.5× 255 1.1× 54 1.1k
David Torres United States 19 375 0.6× 187 0.7× 164 0.7× 76 0.3× 718 3.2× 48 1.5k
Ankush Kumar India 14 543 0.9× 156 0.6× 91 0.4× 27 0.1× 477 2.1× 33 1.1k
Miao Qi China 26 677 1.1× 101 0.4× 261 1.1× 51 0.2× 400 1.8× 76 1.9k
Jingwen Feng China 20 366 0.6× 225 0.8× 71 0.3× 61 0.3× 250 1.1× 63 1.3k
Zhe Wang China 25 842 1.3× 211 0.8× 532 2.3× 207 0.9× 733 3.3× 138 2.4k
Jooyoung Kim South Korea 23 972 1.5× 56 0.2× 129 0.6× 34 0.2× 578 2.6× 88 1.7k
Yanyan Li China 22 262 0.4× 104 0.4× 34 0.1× 86 0.4× 583 2.6× 57 1.3k

Countries citing papers authored by Yang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Dai. A scholar is included among the top collaborators of Yang Dai 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 Yang Dai. Yang Dai 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.
Zhang, Hefeng, Tieyu Wang, Yang Dai, et al.. (2025). Design, synthesis, and biological evaluation of RIPK1-targeting PROTACs. Molecular Diversity. 30(1). 353–371. 1 indexed citations
2.
Wang, Di, Penghu Wei, Xiaotong Fan, et al.. (2023). Integrative roles of human amygdala subdivisions: Insight from direct intracerebral stimulations via stereotactic EEG. Human Brain Mapping. 44(9). 3610–3623. 11 indexed citations
3.
Dai, Yang, Peng Xia, Qun‐Fang Liu, et al.. (2023). Laeviganoids A–T, ent-Clerodane-Type Diterpenoids from Croton laevigatus. Journal of Natural Products. 86(5). 1345–1359. 14 indexed citations
4.
Shao, Zhuo, Qiao Wu, Xingmao Zhang, et al.. (2022). ZNF655 accelerates progression of pancreatic cancer by promoting the binding of E2F1 and CDK1. Oncogenesis. 11(1). 44–44. 14 indexed citations
5.
Dai, Yang, Huaqiang Zhang, Xiaotong Fan, et al.. (2022). Optimized SEEG-guided three-dimensional radiofrequency thermocoagulation for insular epilepsy. Acta Neurochirurgica. 165(1). 249–258. 10 indexed citations
7.
Dai, Yang, Wanqing Zhou, Xiaoli Cao, et al.. (2022). A Cephalosporin-Tripodalamine Conjugate Inhibits Metallo-β-Lactamase with High Efficacy and Low Toxicity. Antimicrobial Agents and Chemotherapy. 66(10). e0035222–e0035222. 3 indexed citations
8.
Guan, Xin, Sifan Chen, Junfeng Yan, et al.. (2020). Charge separation and strong adsorption-enhanced MoO3 visible light photocatalytic performance. Journal of Materials Science. 55(14). 5808–5822. 53 indexed citations
9.
Yang, Xiangyu, et al.. (2019). Circ_0005075 promotes hepatocellular carcinoma progression by suppression of microRNA‐335. Journal of Cellular Physiology. 234(12). 21937–21946. 19 indexed citations
10.
Wang, Yueliang, Xing Li, Yinchun Ji, et al.. (2019). Discovery of a potent tyrosine kinase AXL inhibitor bearing the 3-((2,3,4,5-tetrahydro-1H-benzo[d]azepin-7-yl)amino)pyrazine core. Bioorganic & Medicinal Chemistry Letters. 29(6). 836–838. 7 indexed citations
11.
Dai, Yang, et al.. (2019). Ge2Sb2Te5 nanobelts by femtosecond laser direct writing for resistive switching devices. Physica E Low-dimensional Systems and Nanostructures. 114. 113577–113577. 4 indexed citations
12.
Li, Weiwei, Ke He, Yuxin Hou, et al.. (2019). Flexible and High Performance Piezoresistive Pressure Sensors Based on Hierarchical Flower-Shaped SnSe2 Nanoplates. ACS Applied Energy Materials. 2(4). 2803–2809. 29 indexed citations
13.
Zhang, Pengcheng, Yang Dai, Jekaterina Viktorova, Andreas Offenhäusser, & Dirk Mayer. (2018). Electronic Responses to Humidity in Monolayer and Multilayer AuNP Stripes Fabricated by Convective Self‐Assembly. physica status solidi (a). 215(15). 6 indexed citations
14.
Cui, Jing, Peng Xia, Dingding Gao, et al.. (2017). Optimization of 1H-indazol-3-amine derivatives as potent fibroblast growth factor receptor inhibitors. Bioorganic & Medicinal Chemistry Letters. 27(16). 3782–3786. 15 indexed citations
15.
Jiang, Xi‐Fei, Yang Dai, Peng Xia, et al.. (2017). SOMCL-085, a novel multi-targeted FGFR inhibitor, displays potent anticancer activity in FGFR-addicted human cancer models. Acta Pharmacologica Sinica. 39(2). 243–250. 16 indexed citations
17.
Shi, Wei, et al.. (2015). Analysis of high voltage dielectric insulation materials of XLPE by THz-TDS system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9795. 97953G–97953G. 1 indexed citations
18.
Liu, Wen‐Chung & Yang Dai. (2011). DUAL-BROADBAND TWIN-PAIR INVERTED-L SHAPED STRIP ANTENNA FOR WLAN/WIMAX APPLICATIONS. Progress In Electromagnetics Research Letters. 27. 63–73. 6 indexed citations
19.
Liu, Wen‐Chung, Chao‐Ming Wu, & Yang Dai. (2011). Design of Triple-Frequency Microstrip-Fed Monopole Antenna Using Defected Ground Structure. IEEE Transactions on Antennas and Propagation. 59(7). 2457–2463. 209 indexed citations
20.
Altman, Yoav, Deyu Fang, Chris Elly, et al.. (2001). Cbl Promotes Ubiquitination of the T Cell Receptor ζ through an Adaptor Function of Zap-70. Journal of Biological Chemistry. 276(28). 26004–26011. 143 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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