Chong Cui

941 total citations
8 papers, 130 citations indexed

About

Chong Cui is a scholar working on Molecular Biology, Sensory Systems and Otorhinolaryngology. According to data from OpenAlex, Chong Cui has authored 8 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Sensory Systems and 2 papers in Otorhinolaryngology. Recurrent topics in Chong Cui's work include Hearing, Cochlea, Tinnitus, Genetics (5 papers), CRISPR and Genetic Engineering (4 papers) and RNA regulation and disease (4 papers). Chong Cui is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (5 papers), CRISPR and Genetic Engineering (4 papers) and RNA regulation and disease (4 papers). Chong Cui collaborates with scholars based in China, United States and Australia. Chong Cui's co-authors include Yilai Shu, Huawei Li, Daqi Wang, Yuxin Chen, Geng‐Lin Li, Zheng‐Yi Chen, Honghai Tang, Lei Han, Jun Lv and Xiaoxiang Hu and has published in prestigious journals such as Cellular and Molecular Life Sciences, Signal Transduction and Targeted Therapy and Nature Biomedical Engineering.

In The Last Decade

Chong Cui

8 papers receiving 130 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chong Cui China	6	101	61	25	13	11	8	130
Honghai Tang China	7	156 1.5×	90 1.5×	28 1.1×	22 1.7×	8 0.7×	12	202
Maggie S. Matern United States	6	65 0.6×	95 1.6×	16 0.6×	27 2.1×	6 0.5×	7	133
Felix D. Weiss United Kingdom	2	64 0.6×	47 0.8×	17 0.7×	16 1.2×	6 0.5×	4	102
Hong Pan China	5	143 1.4×	17 0.3×	22 0.9×	10 0.8×	23 2.1×	7	207
Luoying Jiang China	4	43 0.4×	47 0.8×	11 0.4×	9 0.7×	4 0.4×	4	76
Sebastian Gießelmann Germany	3	82 0.8×	44 0.7×	12 0.5×	9 0.7×	19 1.7×	4	117
Yinyi Zhou China	7	75 0.7×	90 1.5×	4 0.2×	13 1.0×	11 1.0×	13	123
Johanna Pass United Kingdom	5	83 0.8×	61 1.0×	6 0.2×	11 0.8×	4 0.4×	6	125
Thomas Jaworek United States	5	73 0.7×	47 0.8×	27 1.1×	8 0.6×	4 0.4×	7	122
Martina Jarc-Vidmar Slovenia	9	259 2.6×	19 0.3×	17 0.7×	10 0.8×	39 3.5×	22	313

Countries citing papers authored by Chong Cui

Since Specialization

Citations

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

Fields of papers citing papers by Chong Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Cui

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zhang, Qian, Chaogang Wei, Chong Cui, et al.. (2025). Association of magnetic resonance imaging glymphatic function with gray matter volume loss and cognitive impairment in Alzheimer’s disease: a diffusion tensor image analysis along the perivascular space (DTI-ALPS) study. Quantitative Imaging in Medicine and Surgery. 15(7). 6160–6174. 1 indexed citations

2.

Cui, Chong, Shengyi Wang, Daqi Wang, et al.. (2024). A base editor for the long-term restoration of auditory function in mice with recessive profound deafness. Nature Biomedical Engineering. 9(1). 40–56. 13 indexed citations

3.

Zhang, Longlong, Jinghan Wang, Zhen Gao, et al.. (2024). A Novel Delivery Approach of Clinical Inner Ear Gene Therapy. Otology & Neurotology. 46(1). 31–38. 1 indexed citations

4.

Li, Qing, Chong Cui, Daqi Wang, et al.. (2023). The pathogenesis of common Gjb2 mutations associated with human hereditary deafness in mice. Cellular and Molecular Life Sciences. 80(6). 148–148. 9 indexed citations

5.

Cui, Chong, Daqi Wang, Fang Wang, et al.. (2022). Precise detection of CRISPR-Cas9 editing in hair cells in the treatment of autosomal dominant hearing loss. Molecular Therapy — Nucleic Acids. 29. 400–412. 36 indexed citations

6.

Guo, Yang, Lei Han, Shuang Han, et al.. (2022). Specific knockdown of Htra2 by CRISPR-CasRx prevents acquired sensorineural hearing loss in mice. Molecular Therapy — Nucleic Acids. 28. 643–655. 16 indexed citations

7.

Cui, Chong, Luping Zhang, Fuping Qian, et al.. (2022). A humanized murine model, demonstrating dominant progressive hearing loss caused by a novel KCNQ4 mutation (p. G228D ) from a large Chinese family. Clinical Genetics. 102(2). 149–154. 6 indexed citations

8.

Guo, Li, Chong Cui, Fang Wang, et al.. (2022). Preventing autosomal-dominant hearing loss in Bth mice with CRISPR/CasRx-based RNA editing. Signal Transduction and Targeted Therapy. 7(1). 79–79. 48 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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