Pu Dai

4.2k citations
210 papers · 2.6k · h-index 30

Impact in

Papers in

    • Hearing, Cochlea, Tinnitus, Genetics 102
    • Mitochondrial Function and Pathology 18
    • RNA regulation and disease 13
    • Connexins and lens biology 10
    • RNA and protein synthesis mechanisms 9

Pu Dai

200 papers receiving 2.5k citations

Peers

Pu Dai
Comparison fields: 5 of 116
  • Sensory Systems 1.6k
  • Otorhinolaryngology 318
  • Neurology 448
  • Endocrine and Autonomic Systems 105
  • Molecular Biology 1.0k
Replace Dongyi Han with:
Dongyi Han China
Byung Yoon Choi South Korea
Huijun Yuan China
Rick A. Friedman United States
Saber Masmoudi Tunisia
A. Eliot Shearer United States
Miguel A. Moreno‐Pelayo Spain
Markus Pfister Germany
Héla Azaiez United States
Pu Dai relative to Dongyi Han China Dongyi Han's profile →
Citations per field
00.5×3.1×
Dongyi Han · 1×
Citations per year

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-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.

Border = papers with Pu Dai Line = papers co-authored together Pu Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009134
2 200890
3 201685
4 200766
5 201265
6 200660
7 200753
8 200851
9 200749
10 200448
11 200947
12 200845
13 200544
14 201342
15 201439
16 201138
17 201136
18 200735
19 201435
20 201933

About Pu Dai

Pu Dai is a scholar working on Sensory Systems, Molecular Biology, Neurology, Otorhinolaryngology and Surgery, having authored 210 papers that have together received 2.6k 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 (24 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 (1.6k citations), Otorhinolaryngology (318 citations), Neurology (448 citations), Endocrine and Autonomic Systems (105 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 Xin Liu. 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.

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