Pu Dai

194 papers and 2.3k indexed citations i.

About

Pu Dai is a scholar working on Sensory Systems, Molecular Biology and Neurology. According to data from OpenAlex, Pu Dai has authored 194 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Sensory Systems, 90 papers in Molecular Biology and 44 papers in Neurology. Recurrent topics in Pu Dai’s work include Hearing, Cochlea, Tinnitus, Genetics (96 papers), Vestibular and auditory disorders (44 papers) and Connexins and lens biology (32 papers). Pu Dai is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (96 papers), Vestibular and auditory disorders (44 papers) and Connexins and lens biology (32 papers). Pu Dai collaborates with scholars based in China, United States and Taiwan. Pu Dai's co-authors include Yongyi Yuan, Dongyi Han, Huijun Yuan, Dongyang Kang, 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

Co-authorship network of co-authors of Pu Dai i

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.

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).

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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2025