Jun-Ping Bai

26 papers and 429 indexed citations
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About

Jun-Ping Bai is a scholar working on Sensory Systems, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jun-Ping Bai has authored 26 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sensory Systems, 11 papers in Molecular Biology and 11 papers in Biomedical Engineering. Recurrent topics in Jun-Ping Bai’s work include Hearing, Cochlea, Tinnitus, Genetics (17 papers), Hearing Loss and Rehabilitation (8 papers) and Acoustic Wave Phenomena Research (6 papers). Jun-Ping Bai is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (17 papers), Hearing Loss and Rehabilitation (8 papers) and Acoustic Wave Phenomena Research (6 papers). Jun-Ping Bai collaborates with scholars based in United States and China. Jun-Ping Bai's co-authors include Dhasakumar Navaratnam, Joseph Santos‐Sacchi, Alexei Surguchev, Lei Song, Peter S. Aronson, Shumin Bian, Weili Zhao, Xiaochun Dong, Winston Tan and Carmen Butan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Jun-Ping Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Ping Bai. A scholar is included among the top collaborators of Jun-Ping Bai 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 Jun-Ping Bai. Jun-Ping Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Jun-Ping Bai

26 papers receiving 419 citations

Fields of papers citing papers by Jun-Ping Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Ping Bai. 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 Jun-Ping Bai. The network helps show where Jun-Ping Bai may publish in the future.

Countries citing papers authored by Jun-Ping Bai

Since Specialization
Citations

This map shows the geographic impact of Jun-Ping Bai'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 Jun-Ping Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Ping Bai 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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