Daqiang Wu

2.9k total citations · 1 hit paper
85 papers, 2.4k citations indexed

About

Daqiang Wu is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Daqiang Wu has authored 85 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 28 papers in Epidemiology and 22 papers in Infectious Diseases. Recurrent topics in Daqiang Wu's work include Antifungal resistance and susceptibility (21 papers), Mycobacterium research and diagnosis (19 papers) and Nephrotoxicity and Medicinal Plants (15 papers). Daqiang Wu is often cited by papers focused on Antifungal resistance and susceptibility (21 papers), Mycobacterium research and diagnosis (19 papers) and Nephrotoxicity and Medicinal Plants (15 papers). Daqiang Wu collaborates with scholars based in China, United States and Taiwan. Daqiang Wu's co-authors include Charles S. Johnson, Jing Shao, Changzhong Wang, Tianming Wang, Gaoxiang Shi, Huijuan Cheng, Guiming Yan, Yuquan Xu, Xianqing Huang and Wei Xue and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Daqiang Wu

80 papers receiving 2.3k citations

Hit Papers

An Improved Diffusion-Ordered Spectroscopy Experiment Inc... 1995 2026 2005 2015 1995 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daqiang Wu China 21 754 480 380 378 342 85 2.4k
Kaspars Tārs Latvia 30 1.9k 2.5× 487 1.0× 713 1.9× 134 0.4× 226 0.7× 131 3.2k
Gyula Batta Hungary 29 1.6k 2.1× 500 1.0× 1.1k 3.0× 159 0.4× 96 0.3× 194 3.0k
William M. Westler United States 41 3.4k 4.6× 1.3k 2.7× 511 1.3× 398 1.1× 385 1.1× 146 5.6k
Kang Chen United States 32 2.0k 2.7× 513 1.1× 324 0.9× 70 0.2× 152 0.4× 118 3.4k
Davy Sinnaeve Belgium 22 700 0.9× 305 0.6× 267 0.7× 235 0.6× 147 0.4× 59 1.6k
Harold C. Jarrell Canada 33 2.2k 3.0× 448 0.9× 750 2.0× 115 0.3× 141 0.4× 114 3.5k
Daniel O. Cicero Italy 25 1.3k 1.7× 223 0.5× 317 0.8× 43 0.1× 148 0.4× 122 2.3k
Donald W. Hughes Canada 30 2.0k 2.7× 313 0.7× 682 1.8× 83 0.2× 157 0.5× 109 4.3k
Paul A. Keifer United States 23 2.5k 3.4× 1.2k 2.5× 912 2.4× 547 1.4× 404 1.2× 45 4.7k
Fengli Zhang United States 30 1.6k 2.1× 601 1.3× 122 0.3× 332 0.9× 183 0.5× 76 2.7k

Countries citing papers authored by Daqiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Daqiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Daqiang Wu. A scholar is included among the top collaborators of Daqiang Wu 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 Daqiang Wu. Daqiang Wu 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.
Yang, Guangyuan, Xiaoxiao Zhu, Hongchen Wang, et al.. (2025). Mitochondrial anchor protein Num11 is key to pathogenicity of Candida albicans by affecting mitochondrial function and cell wall masking. Virulence. 16(1). 2519149–2519149. 1 indexed citations
2.
Wang, Hongchen, et al.. (2025). Molecular Mechanisms of Pathogenic Fungal Virulence Regulation by Cell Membrane Phospholipids. Journal of Fungi. 11(4). 256–256. 3 indexed citations
3.
Zhang, Lei, Lingjun Zhu, Yuan Zhao, et al.. (2025). STING inhibits the progression of esophageal squamous cell carcinoma by suppressing CPT1A-mediated fatty acid β-oxidation. Acta Pharmacologica Sinica. 46(10). 2793–2807.
4.
Hu, Mengxue, Feng Jin, Jing Shao, et al.. (2024). Sodium houttuyfonate induces bacterial lipopolysaccharide shedding to promote macrophage M1 polarization against acute bacterial lung infection. Biomedicine & Pharmacotherapy. 179. 117358–117358. 3 indexed citations
5.
Zhang, Ping, Xiaojuan Jiang, Gaoxiang Shi, et al.. (2024). Effect of the Pulsatilla decoction n-butanol extract on vulvovaginal candidiasis caused by Candida glabrata and on its virulence factors. Fitoterapia. 173. 105825–105825. 3 indexed citations
6.
Jiang, Xiaojuan, Ping Zhang, Dan Xia, et al.. (2024). Effect of Pulsatilla decoction on vulvovaginal candidiasis in mice. Evidences for its mechanisms of action. Phytomedicine. 128. 155515–155515. 3 indexed citations
7.
Li, Can, Wei Qiu, Daqiang Wu, et al.. (2024). Transcriptomics analysis reveals the effect of Pulsatilla decoction butanol extract on endoplasmic reticulum and peroxisome function of Candida albicans in hyphal state. Journal of Ethnopharmacology. 337(Pt 1). 118826–118826. 2 indexed citations
8.
Wang, Yibin, Hui Wu, Juan Sun, et al.. (2024). Effects of the N-Butanol Extract of Pulsatilla Decoction on Neutrophils in a Mouse Model of Ulcerative Colitis. Pharmaceuticals. 17(8). 1077–1077. 2 indexed citations
10.
Feng, Xin, Hao Zhang, Gaoxiang Shi, et al.. (2023). Longdan Xiegan decoction ameliorates vulvovaginal candidiasis by inhibiting the NLRP3 inflammasome via the Toll-like receptor /MyD88 pathway. Journal of Ethnopharmacology. 318(Pt A). 116869–116869. 8 indexed citations
12.
Wu, Daqiang, Shenghao Zhang, Dongmei Wang, et al.. (2022). The Cdc42 GAP Rga6 promotes monopolar outgrowth of spores. The Journal of Cell Biology. 222(1). 7 indexed citations
13.
Ma, Kelong, Zhijun Han, Min Pan, et al.. (2020). [Therapeutic effect of cinnamaldehyde on ulcerative colitis in mice induced by dextran sulfate sodium with Candida albicans colonization and its effect on dectin-1/TLRs/NF-κB signaling pathway].. China Journal of Chinese Materia Medica. 45(13). 3211–3219. 2 indexed citations
14.
Shao, Jing, et al.. (2020). Sodium New Houttuyfonate Affects Transcriptome and Virulence Factors of Pseudomonas aeruginosa Controlled by Quorum Sensing. Frontiers in Pharmacology. 11. 572375–572375. 12 indexed citations
15.
Shao, Jing, et al.. (2019). Effects of sodium houttuyfonate on transcriptome of Pseudomonas aeruginosa. BMC Research Notes. 12(1). 685–685. 7 indexed citations
16.
Wang, Tianming, Jing Shao, Qianqian Li, et al.. (2018). Strong Synergism of Palmatine and Fluconazole/Itraconazole Against Planktonic and Biofilm Cells of Candida Species and Efflux-Associated Antifungal Mechanism. Frontiers in Microbiology. 9. 2892–2892. 36 indexed citations
18.
Shi, Gaoxiang, Jing Shao, Daqiang Wu, et al.. (2015). In vitro antifungal activity of baicalin against Candida albicans biofilms via apoptotic induction. Microbial Pathogenesis. 87. 21–29. 54 indexed citations
19.
Tang, Lihua, Huahua Jian, Chunyan Song, et al.. (2013). Transcriptome analysis of candidate genes and signaling pathways associated with light-induced brown film formation in Lentinula edodes. Applied Microbiology and Biotechnology. 97(11). 4977–4989. 72 indexed citations
20.
Li, Yaqian, Xilin Du, Zhi John Lu, et al.. (2011). Regulatory Feedback Loop of Two phz Gene Clusters through 5′-Untranslated Regions in Pseudomonas sp. M18. PLoS ONE. 6(4). e19413–e19413. 28 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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