Peng Dai

2.3k total citations · 1 hit paper
62 papers, 1.7k citations indexed

About

Peng Dai is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Peng Dai has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Biomedical Engineering and 9 papers in Cancer Research. Recurrent topics in Peng Dai's work include Advanced biosensing and bioanalysis techniques (9 papers), Chromosomal and Genetic Variations (6 papers) and Biosensors and Analytical Detection (6 papers). Peng Dai is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), Chromosomal and Genetic Variations (6 papers) and Biosensors and Analytical Detection (6 papers). Peng Dai collaborates with scholars based in China, United States and Hong Kong. Peng Dai's co-authors include Mo‐Fang Liu, Xiang‐Dong Fu, Jun-Yan Kang, Lan‐Tao Gou, Yuanchao Xue, Xin Wang, Shuang Zhao, Yu Zhou, Da‐Wei Huang and Peng Zhang and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Peng Dai

55 papers receiving 1.7k citations

Hit Papers

Stalling oxygen evolution in high-voltage cathodes by lan... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stalling oxygen evolution in high-voltage cathodes by lanthurization
    2023 184 citations Peng Dai et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Dai China 17 1.0k 537 263 243 212 62 1.7k
Jianquan Wang China 28 1.0k 1.0× 351 0.7× 192 0.7× 121 0.5× 134 0.6× 160 2.9k
Fangfang Zhao China 23 787 0.8× 65 0.1× 461 1.8× 106 0.4× 200 0.9× 111 1.6k
Zhiqiang Du China 25 1.2k 1.2× 105 0.2× 255 1.0× 78 0.3× 357 1.7× 94 2.2k
Meng Yu China 26 839 0.8× 52 0.1× 377 1.4× 80 0.3× 136 0.6× 86 1.7k
Zhe Yu China 22 694 0.7× 44 0.1× 238 0.9× 83 0.3× 168 0.8× 85 1.4k
Dongmei Cao China 18 448 0.4× 274 0.5× 124 0.5× 76 0.3× 75 0.4× 58 955
Sudhir Chandna India 22 769 0.8× 134 0.2× 264 1.0× 51 0.2× 58 0.3× 69 1.7k
Qingtian Li China 37 1.7k 1.7× 2.8k 5.3× 60 0.2× 592 2.4× 165 0.8× 85 4.9k
Mahdi Mahdipour Iran 20 634 0.6× 109 0.2× 191 0.7× 30 0.1× 57 0.3× 70 1.2k

Countries citing papers authored by Peng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Dai. A scholar is included among the top collaborators of Peng 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 Peng Dai. Peng 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.
Wang, Xianyang, Peng Dai, Cheng Ji, et al.. (2025). Thermal stress analysis and growth of high quality La3Ga5SiO14 crystals. Journal of Crystal Growth. 661. 128167–128167. 1 indexed citations
2.
Dai, Peng, Shengchang Tang, Yongchao Cai, et al.. (2025). Fabrication of Large-Area, Crack-Free Inverse Opals on Microfluidic Chips via Wet Infiltration. ACS Applied Materials & Interfaces. 17(10). 15859–15867. 1 indexed citations
3.
Dai, Peng, et al.. (2025). Innovative microfluidic chip for quantitative plasma separation in POCT. Chemical Engineering Journal. 514. 163375–163375. 3 indexed citations
4.
Wang, Yaling, Jingwen Chen, Peng Dai, et al.. (2024). Gene-knockout by iSTOP enables rapid reproductive disease modeling and phenotyping in germ cells of the founder generation. Science China Life Sciences. 67(5). 1035–1050. 8 indexed citations
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Dai, Peng, et al.. (2024). Two-dimensional simulation of influence of plume magnetic field on performance of Hall thrusters. Acta Physica Sinica. 73(24). 245202–245202.
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Chang, Xin, et al.. (2024). Electrically tunable metasurface in TN LC configuration with enhanced quality factor and metaatom-induced alignment. Optics Letters. 49(19). 5551–5551. 2 indexed citations
9.
Liu, Han, Xianfeng Tang, Yang Liu, et al.. (2024). Sequential LLM Framework for Fashion Recommendation. 1276–1285. 2 indexed citations
10.
Wu, Yalin, et al.. (2023). Gut microbial signatures of patients with primary hepatocellular carcinoma and their healthy first-degree relatives. Journal of Applied Microbiology. 134(10). 14 indexed citations
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Dai, Peng, Yan Zhang, Yanping Hong, et al.. (2022). Production of high affinity monoclonal antibody and development of indirect competitive chemiluminescence enzyme immunoassay for gentamicin residue in animal tissues. Food Chemistry. 400. 134067–134067. 9 indexed citations
14.
Luo, Ling, et al.. (2018). Comparision of 3D Printed Headrest for Pediatric Patients and SRS Standard Headrest in Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 102(3). e477–e477. 3 indexed citations
15.
Gou, Lan‐Tao, Jun-Yan Kang, Peng Dai, et al.. (2017). Ubiquitination-Deficient Mutations in Human Piwi Cause Male Infertility by Impairing Histone-to-Protamine Exchange During Spermiogenesis. Obstetrical & Gynecological Survey. 72(9). 540–541. 4 indexed citations
16.
Wang, Wei, Weihua Wang, Kazem M. Azadzoi, et al.. (2016). Activation of innate antiviral immune response via double-stranded RNA-dependent RLR receptor-mediated necroptosis. Scientific Reports. 6(1). 22550–22550. 15 indexed citations
17.
Wang, Wei, Weihua Wang, Kazem M. Azadzoi, et al.. (2016). Alu RNA accumulation in hyperglycemia augments oxidative stress and impairs eNOS and SOD2 expression in endothelial cells. Molecular and Cellular Endocrinology. 426. 91–100. 28 indexed citations
18.
Liu, Mingchao, Juan Li, Peng Dai, et al.. (2014). Microglia activation regulates GluR1 phosphorylation in chronic unpredictable stress-induced cognitive dysfunction. Stress. 18(1). 96–106. 45 indexed citations
19.
Han, Yinglun, Xin Liu, Peng Dai, et al.. (2014). A novel member of lymphocyte-specific protein tyrosine kinase protein identified in lamprey, <italic>Lampetra japonica</italic>. Acta Biochimica et Biophysica Sinica. 46(9). 820–825. 1 indexed citations
20.
Liao, Shuang, Edward T. K. Tung, Wei Zheng, et al.. (2010). Crystal Structure of the Mp1p Ligand Binding Domain 2 Reveals Its Function as a Fatty Acid-binding Protein. Journal of Biological Chemistry. 285(12). 9211–9220. 10 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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