Pu Dai
Impact in
- Sensory Systems top 0.1%
- Hearing, Cochlea, Tinnitus, Genetics
- Otorhinolaryngology top 1%
- Ear Surgery and Otitis Media
Papers in
- Sensory Systems 102
- Hearing, Cochlea, Tinnitus, Genetics 102
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- Mitochondrial Function and Pathology 18
- RNA regulation and disease 13
- Connexins and lens biology 10
- RNA and protein synthesis mechanisms 9
- Co-authors
- Yongyi Yuan (69 shared papers)Dongyi Han (59 shared papers)Dongyang Kang (64 shared papers)Huijun Yuan (33 shared papers)Guojian Wang (41 shared papers)Deliang Huang (29 shared papers)Shasha Huang (45 shared papers)Xue Gao (40 shared papers)
- Journals
- Acta Oto-Laryngologica (16 papers)PLoS ONE (12 papers)Journal of Translational Medicine (9 papers)International Journal of Pediatric Otorhinolaryngology (7 papers)Human Genetics (5 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Pu Dai
197 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 115
- Sensory Systems 1.5k
- Otorhinolaryngology 312
- Neurology 438
- Endocrine and Autonomic Systems 98
- Molecular Biology 1.0k
Countries citing papers authored by Pu Dai
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
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-authors
The 25 scholars most cited alongside Pu Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 131 | |
| 2 | 2008 | 90 | |
| 3 | 2016 | 84 | |
| 4 | 2007 | 65 | |
| 5 | 2012 | 64 | |
| 6 | 2006 | 60 | |
| 7 | 2007 | 52 | |
| 8 | 2008 | 51 | |
| 9 | 2007 | 48 | |
| 10 | 2009 | 47 | |
| 11 | 2008 | 44 | |
| 12 | 2005 | 43 | |
| 13 | 2004 | 43 | |
| 14 | 2013 | 42 | |
| 15 | 2014 | 38 | |
| 16 | 2011 | 38 | |
| 17 | 2007 | 35 | |
| 18 | 2014 | 34 | |
| 19 | 2019 | 32 | |
| 20 | 2009 | 32 |
About Pu Dai
Pu Dai is a scholar working on Sensory Systems, Molecular Biology, Neurology, Otorhinolaryngology and Genetics, having authored 203 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (102 papers), Vestibular and auditory disorders (25 papers), Ear Surgery and Otitis Media (21 papers), Mitochondrial Function and Pathology (18 papers), RNA regulation and disease (13 papers), Connexins and lens biology (10 papers), RNA and protein synthesis mechanisms (9 papers) and Hearing Loss and Rehabilitation (8 papers). The work is most often cited by research in Sensory Systems (1.5k citations), Otorhinolaryngology (312 citations), Neurology (438 citations), Endocrine and Autonomic Systems (98 citations) and Molecular Biology (1.0k citations). Pu Dai has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yongyi Yuan, Dongyi Han, Dongyang Kang, Huijun Yuan, Guojian Wang, Deliang Huang, Shasha Huang, Xue Gao, Mingyu Han and Fei Yu. Their work appears in journals such as Acta Oto-Laryngologica, PLoS ONE, Journal of Translational Medicine, International Journal of Pediatric Otorhinolaryngology and Human Genetics.
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.