Honghai Tang

737 total citations
12 papers, 202 citations indexed

About

Honghai Tang is a scholar working on Molecular Biology, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Honghai Tang has authored 12 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Sensory Systems and 2 papers in Cognitive Neuroscience. Recurrent topics in Honghai Tang's work include RNA regulation and disease (8 papers), CRISPR and Genetic Engineering (7 papers) and Hearing, Cochlea, Tinnitus, Genetics (6 papers). Honghai Tang is often cited by papers focused on RNA regulation and disease (8 papers), CRISPR and Genetic Engineering (7 papers) and Hearing, Cochlea, Tinnitus, Genetics (6 papers). Honghai Tang collaborates with scholars based in China, Finland and United States. Honghai Tang's co-authors include Yilai Shu, Daqi Wang, Yuxin Chen, Huawei Li, Shengyi Wang, Wenguo Cui, Tao Ding, Geng‐Lin Li, Wuqing Wang and Jun Lv and has published in prestigious journals such as The American Journal of Human Genetics, Materials Today and Molecular Therapy.

In The Last Decade

Honghai Tang

10 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honghai Tang China 7 156 90 28 22 22 12 202
Chong Cui China 6 101 0.6× 61 0.7× 25 0.9× 13 0.6× 7 0.3× 8 130
Maggie S. Matern United States 6 65 0.4× 95 1.1× 16 0.6× 27 1.2× 6 0.3× 7 133
Souad Gherbi France 8 103 0.7× 80 0.9× 50 1.8× 18 0.8× 8 0.4× 11 199
Molly O’Reilly United Kingdom 10 97 0.6× 117 1.3× 7 0.3× 22 1.0× 22 1.0× 15 273
Benjamin Currall United States 9 107 0.7× 40 0.4× 59 2.1× 34 1.5× 37 1.7× 23 212
Heather B. Steele-Stallard United Kingdom 6 297 1.9× 120 1.3× 41 1.5× 7 0.3× 8 0.4× 6 349
Seungmin Lee South Korea 10 127 0.8× 180 2.0× 21 0.8× 67 3.0× 14 0.6× 15 268
Orit Dagan‐Rosenfeld United States 5 160 1.0× 68 0.8× 57 2.0× 22 1.0× 2 0.1× 5 252
Yinyi Zhou China 7 75 0.5× 90 1.0× 4 0.1× 13 0.6× 14 0.6× 13 123
Leigh Demain United Kingdom 7 134 0.9× 22 0.2× 48 1.7× 8 0.4× 4 0.2× 12 209

Countries citing papers authored by Honghai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Honghai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghai Tang

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

All Works

12 of 12 papers shown
1.
Wang, Hui, Jingjing Zhao, Guotao Tang, et al.. (2025). Comparative analysis of RNA versus protein splicing in dual AAV-mediated gene therapy in a mouse model of DFNB9 deafness. Molecular Therapy. 34(1). 203–215.
2.
Wang, Hui, Honghai Tang, Jingjing Zhao, et al.. (2024). Hair cell-specific Myo15 promoter-mediated gene therapy rescues hearing in DFNB9 mouse model. Molecular Therapy — Nucleic Acids. 35(1). 102135–102135. 15 indexed citations
3.
Jiang, Luoying, Zijing Wang, Yi Zhou, et al.. (2024). Hearing restoration by gene replacement therapy for a multisite-expressed gene in a mouse model of human DFNB111 deafness. The American Journal of Human Genetics. 111(10). 2253–2264. 4 indexed citations
4.
Wang, Zijing, Honghai Tang, Hui Wang, et al.. (2024). Engineering of the AAV-Compatible Hair Cell-Specific Small-Size Myo15 Promoter for Gene Therapy in the Inner Ear. Research. 7. 341–341. 6 indexed citations
5.
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
6.
Ding, Tao, et al.. (2023). Nanobiomaterial vectors for improving gene editing and gene therapy. Materials Today. 66. 114–136. 37 indexed citations
7.
Han, Shuang, Zhijiao Xu, Shengyi Wang, et al.. (2023). Distributional comparison of different AAV vectors after unilateral cochlear administration. Gene Therapy. 31(3-4). 154–164. 6 indexed citations
8.
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
9.
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
10.
Tang, Honghai, Hui Wang, Shengyi Wang, et al.. (2022). Hearing of Otof-deficient mice restored by trans-splicing of N- and C-terminal otoferlin. Human Genetics. 142(2). 289–304. 44 indexed citations
11.
Tang, Honghai, et al.. (2021). Active-Site Models of Streptococcus pyogenes Cas9 in DNA Cleavage State. Frontiers in Molecular Biosciences. 8. 653262–653262. 13 indexed citations
12.
Zhu, Haixia, et al.. (2021). [Structure-based optimization and design of CRISPR protein xCas9].. PubMed. 37(4). 1385–1395.

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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