Suhong Sun

411 total citations
4 papers, 79 citations indexed

About

Suhong Sun is a scholar working on Cognitive Neuroscience, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, Suhong Sun has authored 4 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Sensory Systems and 2 papers in Biomedical Engineering. Recurrent topics in Suhong Sun's work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), Hearing Loss and Rehabilitation (3 papers) and Advanced Proteomics Techniques and Applications (1 paper). Suhong Sun is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (3 papers), Hearing Loss and Rehabilitation (3 papers) and Advanced Proteomics Techniques and Applications (1 paper). Suhong Sun collaborates with scholars based in China, United States and Hong Kong. Suhong Sun's co-authors include Guangqin Wang, Zhiyong Liu, Shuting Li, Shunji He, Yuwei Sun, Tong Zhu, Xiang Li, Lei Song, Zhiyong Liu and Yun Yang and has published in prestigious journals such as Science, eLife and The Analyst.

In The Last Decade

Suhong Sun

4 papers receiving 79 citations

Peers

Suhong Sun
Sarah Foster United States
Navid Zebarjadi United States
Kevin Rose United States
Johanna Pass United Kingdom
Elena Chrysostomou United States
Chong Cui China
Felix D. Weiss United Kingdom
Suhong Sun
Citations per year, relative to Suhong Sun Suhong Sun (= 1×) peers Yinyi Zhou

Countries citing papers authored by Suhong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Suhong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhong Sun

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

All Works

4 of 4 papers shown
1.
Sun, Yuwei, Shuting Li, Suhong Sun, et al.. (2025). Casz1 is required for both inner hair cell fate stabilization and outer hair cell survival. Science. 388(6744). eado4930–eado4930. 4 indexed citations
2.
Li, Xiang, Tong Zhu, Shuting Li, et al.. (2022). Development and transdifferentiation into inner hair cells require Tbx2. National Science Review. 9(12). nwac156–nwac156. 30 indexed citations
3.
Yang, Yun, Suhong Sun, Shunji He, et al.. (2022). Fully integrated on-line strategy for highly sensitive proteome profiling of 10–500 mammalian cells. The Analyst. 148(1). 120–127. 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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