Daqi Wang

10.7k total citations · 1 hit paper
588 papers, 6.5k citations indexed

About

Daqi Wang is a scholar working on Inorganic Chemistry, Organic Chemistry and Oncology. According to data from OpenAlex, Daqi Wang has authored 588 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 462 papers in Inorganic Chemistry, 230 papers in Organic Chemistry and 204 papers in Oncology. Recurrent topics in Daqi Wang's work include Crystal structures of chemical compounds (326 papers), Metal complexes synthesis and properties (202 papers) and Metal-Organic Frameworks: Synthesis and Applications (175 papers). Daqi Wang is often cited by papers focused on Crystal structures of chemical compounds (326 papers), Metal complexes synthesis and properties (202 papers) and Metal-Organic Frameworks: Synthesis and Applications (175 papers). Daqi Wang collaborates with scholars based in China, United States and Nepal. Daqi Wang's co-authors include Shouwen Jin, Jianmin Dou, Wanzhi Chen, Chunlin Ma, Rufen Zhang, Handong Yin, Dacheng Li, Yongming Wang, Zhenxing Xi and Yongbo Zhou and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

Daqi Wang

555 papers receiving 6.5k citations

Hit Papers

Cas12aVDet: A CRISPR/Cas12a-Based Platform for Rapid and ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daqi Wang China 41 3.3k 2.2k 1.8k 1.5k 1.3k 588 6.5k
Ahmed A. Mohamed United States 38 805 0.2× 1.7k 0.8× 1.4k 0.8× 1.0k 0.7× 1.0k 0.8× 165 4.6k
John F. Gallagher Ireland 30 837 0.3× 1.9k 0.8× 1.0k 0.6× 335 0.2× 574 0.4× 215 3.6k
Zerihun Assefa United States 33 791 0.2× 683 0.3× 1.2k 0.6× 849 0.5× 548 0.4× 90 3.2k
Gustavo Fernández Germany 47 557 0.2× 3.6k 1.6× 3.4k 1.9× 383 0.2× 185 0.1× 139 6.8k
Shawn C. Burdette United States 23 400 0.1× 1.2k 0.5× 3.4k 1.9× 482 0.3× 472 0.4× 72 5.8k
Holger Stephan Germany 37 921 0.3× 1.1k 0.5× 1.8k 1.0× 380 0.2× 513 0.4× 168 5.6k
José M. Domínguez‐Vera Spain 34 985 0.3× 375 0.2× 1.2k 0.7× 1.3k 0.8× 788 0.6× 124 3.6k
Sunil Saxena United States 36 319 0.1× 229 0.1× 1.8k 1.0× 854 0.6× 409 0.3× 131 4.5k
Tia E. Keyes Ireland 40 689 0.2× 979 0.4× 2.7k 1.5× 913 0.6× 876 0.7× 250 6.4k
Yiannis Sanakis Greece 41 1.7k 0.5× 1.0k 0.5× 2.8k 1.5× 2.0k 1.3× 1.3k 1.0× 167 6.1k

Countries citing papers authored by Daqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqi Wang

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

All Works

20 of 20 papers shown
1.
Zhang, Longlong, Yanbo Yin, Qi Cao, et al.. (2025). Audiological characteristics following gene therapy in patients with autosomal recessive deafness 9. Med. 6(8). 100696–100696. 2 indexed citations
2.
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.
4.
Han, Lei, Zijing Wang, Daqi Wang, et al.. (2024). Mechanisms and otoprotective strategies of programmed cell death on aminoglycoside-induced ototoxicity. Frontiers in Cell and Developmental Biology. 11. 1305433–1305433. 7 indexed citations
5.
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
6.
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
7.
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
8.
Ma, Xiaodan, Xinlei Chen, Shouwen Jin, et al.. (2023). Molecular structures of eight hydrogen bond-mediated minoxidil adducts from different aryl acids. Journal of Molecular Structure. 1298. 136942–136942. 4 indexed citations
9.
10.
Wen, Xianhong, et al.. (2023). Crystal and Molecular Structures of Three Co-crystals from 1,3-Dimethyl-3,7-dihydro-1H-purine-2,6-dione and Carboxylic Acids. Journal of Chemical Crystallography. 54(1). 41–53. 2 indexed citations
11.
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
12.
Jiang, Luoying, Daqi Wang, Yingzi He, & Yilai Shu. (2023). Advances in gene therapy hold promise for treating hereditary hearing loss. Molecular Therapy. 31(4). 934–950. 63 indexed citations
13.
Zhang, Longlong, Jinghan Wang, Biyun Zhu, et al.. (2023). Preclinical evaluation of the efficacy and safety of AAV1-hOTOF in mice and nonhuman primates. Molecular Therapy — Methods & Clinical Development. 31. 101154–101154. 21 indexed citations
14.
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
15.
Xu, Zhijiao, Jialin Chen, Meizhen Liu, et al.. (2022). Rescue of mis-splicing of a common SLC26A4 mutant associated with sensorineural hearing loss by antisense oligonucleotides. Molecular Therapy — Nucleic Acids. 28. 280–292. 13 indexed citations
16.
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
17.
Gu, Xi, Daqi Wang, Zhijiao Xu, et al.. (2021). Prevention of acquired sensorineural hearing loss in mice by in vivo Htra2 gene editing. Genome biology. 22(1). 86–86. 43 indexed citations
18.
Zhang, Shao‐Liang, Shanshan Li, Suyuan Zeng, et al.. (2020). Slow magnetic relaxation in O–Se–O bridged manganese(iii) Schiff base complexes. New Journal of Chemistry. 44(6). 2408–2413. 16 indexed citations
19.
Di, You‐Ying, et al.. (2009). Crystal Structure and Thermodynamic Properties of N; N-dimethylnorephedrine Hydrochloride (C11H18NOCl) (s). Acta chimica slovenica. 56(2). 392–398. 1 indexed citations
20.
Wang, Daqi & Yang Chong-Ren. (1995). Studies on the chemical constituents from Souliea vaginata). Tianran chanwu yanjiu yu kaifa. 7(1). 42–44. 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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