Pu Dai

4.2k total citations
202 papers, 2.5k citations indexed

About

Pu Dai is a scholar working on Sensory Systems, Molecular Biology and Neurology. According to data from OpenAlex, Pu Dai has authored 202 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Sensory Systems, 92 papers in Molecular Biology and 46 papers in Neurology. Recurrent topics in Pu Dai's work include Hearing, Cochlea, Tinnitus, Genetics (100 papers), Vestibular and auditory disorders (46 papers) and Ear Surgery and Otitis Media (34 papers). Pu Dai is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (100 papers), Vestibular and auditory disorders (46 papers) and Ear Surgery and Otitis Media (34 papers). Pu Dai collaborates with scholars based in China, United States and Philippines. Pu Dai's co-authors include Yongyi Yuan, Dongyi Han, Dongyang Kang, Huijun Yuan, Guojian Wang, Shasha Huang, Deliang Huang, Xue Gao, Mingyu Han and Xin Liu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

In The Last Decade

Pu Dai

190 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pu Dai China 28 1.6k 1.3k 745 533 348 202 2.5k
Dongyi Han China 22 1.1k 0.7× 1.1k 0.8× 564 0.8× 391 0.7× 228 0.7× 130 1.8k
Byung Yoon Choi South Korea 27 1.7k 1.1× 845 0.7× 863 1.2× 743 1.4× 648 1.9× 178 2.9k
Markus Pfister Germany 27 1.1k 0.7× 842 0.7× 429 0.6× 272 0.5× 335 1.0× 85 2.0k
Yongyi Yuan China 20 1.0k 0.6× 679 0.5× 510 0.7× 344 0.6× 197 0.6× 127 1.3k
Rick A. Friedman United States 25 876 0.6× 661 0.5× 431 0.6× 228 0.4× 236 0.7× 53 1.7k
Henricus P. M. Kunst Netherlands 32 999 0.6× 987 0.8× 569 0.8× 440 0.8× 376 1.1× 131 3.2k
Saber Masmoudi Tunisia 21 718 0.5× 625 0.5× 329 0.4× 204 0.4× 140 0.4× 98 1.3k
Hideichi Shinkawa Japan 27 1.2k 0.7× 609 0.5× 757 1.0× 516 1.0× 273 0.8× 105 2.1k
Héla Azaiez United States 20 1.2k 0.7× 860 0.7× 393 0.5× 369 0.7× 238 0.7× 45 1.7k

Countries citing papers authored by Pu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Pu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Dai. A scholar is included among the top collaborators of Pu 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 Pu Dai. Pu 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.
Huang, Shasha, Xue Gao, Yi Jiang, et al.. (2025). Reevaluation of Enlarged Vestibular Aqueduct. JAMA Otolaryngology–Head & Neck Surgery. 151(11). 1046–1046.
2.
Wei, Guanghua, Xue Gao, Lu Zheng, et al.. (2025). Single Administration of AAV‐m Atp6v1b2 Gene Therapy Rescues Hearing and Vestibular Disorders Caused by Atp6v1b2 ‐Induced Lysosomal Dysfunction in Hair Cells. Advanced Science. 12(29). e2408878–e2408878. 2 indexed citations
3.
Zhang, Faxiang, et al.. (2024). Adaptive Fuzzy Tracking Control for a Class of Uncertain Nonlinear Systems With Improved Prescribed Performance. IEEE Transactions on Fuzzy Systems. 33(4). 1133–1145. 1 indexed citations
4.
Sun, Jianbin, Ruoya Wang, Da Liu, et al.. (2023). Surgical management and the prognosis of iatrogenic facial nerve injury in middle ear surgery: a 20-year experience. Head & Face Medicine. 19(1). 31–31. 4 indexed citations
5.
Pan, Jun, et al.. (2023). Application research of gun servo system based on Stribeck friction model. Journal of Physics Conference Series. 2478(9). 92012–92012.
6.
Jiang, Yi, Shasha Huang, Yi Zhang, et al.. (2022). Evolutionary origin of pathogenic GJB2 alleles in China. Clinical Genetics. 102(4). 305–313. 4 indexed citations
7.
Azaiez, Héla, Qiuju Wang, Lei Xu, et al.. (2021). The natural history of OTOF-related auditory neuropathy spectrum disorders: a multicenter study. Human Genetics. 141(3-4). 853–863. 8 indexed citations
8.
Han, Mingyu, Zhifeng Li, Wenlu Wang, et al.. (2017). A quantitative cSMART assay for noninvasive prenatal screening of autosomal recessive nonsyndromic hearing loss caused by GJB2 and SLC26A4 mutations. Genetics in Medicine. 19(12). 1309–1316. 27 indexed citations
9.
Dai, Pu, et al.. (2015). [Study on 2,747 cases of inner ear malformation for its classification in patient with sensorineural hearing loss].. PubMed. 29(1). 45–7. 16 indexed citations
10.
Huang, Bangqing, et al.. (2015). A novel mutation in POU3F4 in a Chinese family with X-linked non-syndromic hearing loss. Journal of Otology. 10(2). 78–82. 5 indexed citations
11.
Gao, Xue, Guojian Wang, Yongyi Yuan, et al.. (2014). Novel Compound Heterozygous Mutations in MYO7A Associated with Usher Syndrome 1 in a Chinese Family. PLoS ONE. 9(7). e103415–e103415. 7 indexed citations
12.
Xin, Feng, Yongyi Yuan, Xiaoming Deng, et al.. (2013). Genetic mutations in nonsyndromic deafness patients of Chinese minority and han ethnicities in Yunnan, China. Journal of Translational Medicine. 11(1). 312–312. 42 indexed citations
13.
Huang, Shasha, Dongyi Han, Guojian Wang, et al.. (2012). Sensorineural hearing loss caused by mutations in two alleles of both GJB2 and SLC26A4 genes. International Journal of Pediatric Otorhinolaryngology. 77(3). 379–383. 11 indexed citations
14.
Chen, Changhong, et al.. (2009). The energy related carbon dioxide emission inventory and carbon flow chart in Shanghai City.. China Environmental Science. 29(11). 1215–1220. 9 indexed citations
15.
Ouyang, Xiao Mei, et al.. (2009). The genetic bases for non-syndromic hearing loss among Chinese. Journal of Human Genetics. 54(3). 131–140. 47 indexed citations
16.
Dai, Pu, Qi Li, Deliang Huang, et al.. (2008). SLC26A4 c.919-2A>G varies among Chinese ethnic groups as a cause of hearing loss. Genetics in Medicine. 10(8). 586–592. 51 indexed citations
17.
Cheng, Jing, Pu Dai, Ran Tao, et al.. (2007). A novel DFNA5 mutation, IVS8+4 A>G, in the splice donor site of intron 8 causes late‐onset non‐syndromic hearing loss in a Chinese family. Clinical Genetics. 72(5). 471–477. 52 indexed citations
18.
Li, Caixia, Qian Pan, Yan Li, et al.. (2007). Construction of a multiplex allele-specific PCR-based universal array (ASPUA) and its application to hearing loss screening. Human Mutation. 29(2). 306–314. 48 indexed citations
19.
Dai, Pu, Yongyi Yuan, Dongyang Kang, et al.. (2007). [Sequencing of SLC26A4 exons 7 and 8 and hot spot mutation analysis in 1552 moderate to profound sensorineural hearing loss patients in China].. PubMed. 87(36). 2521–5. 4 indexed citations
20.
Dai, Pu, Yongyi Yuan, Xin Zhang, et al.. (2006). [Patients suffered from enlarged vestibular aqueduct syndrome in Chifeng deaf and dumb school detected by Pendred's syndrome gene hot spot mutation screening].. PubMed. 41(7). 497–500. 1 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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