Dan Wu

3.7k total citations · 1 hit paper
70 papers, 2.9k citations indexed

About

Dan Wu is a scholar working on Molecular Biology, Water Science and Technology and Mechanical Engineering. According to data from OpenAlex, Dan Wu has authored 70 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Water Science and Technology and 14 papers in Mechanical Engineering. Recurrent topics in Dan Wu's work include Advanced oxidation water treatment (9 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Advanced Photocatalysis Techniques (8 papers). Dan Wu is often cited by papers focused on Advanced oxidation water treatment (9 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Advanced Photocatalysis Techniques (8 papers). Dan Wu collaborates with scholars based in China, United States and Canada. Dan Wu's co-authors include Robert W. Field, Bharat Gupta, John Howell, Ang Li, Fang Ma, Jixian Yang, Wei Wei, Shanshan Pi, Laisheng Li and Weirui Chen and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Hazardous Materials.

In The Last Decade

Dan Wu

64 papers receiving 2.8k citations

Hit Papers

Critical flux concept for microfiltration fouling 1995 2026 2005 2015 1995 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Critical flux concept for microfiltration fouling
    1995 1.1k citations Dan Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Wu China 24 1.5k 988 612 483 371 70 2.9k
Yifeng Huang China 32 1.0k 0.7× 1.0k 1.0× 215 0.4× 399 0.8× 202 0.5× 122 3.2k
Xueqing Shi China 32 1.1k 0.7× 613 0.6× 269 0.4× 238 0.5× 482 1.3× 87 2.8k
Elena-Niculina Drăgoi Romania 33 714 0.5× 649 0.7× 250 0.4× 497 1.0× 677 1.8× 129 3.3k
Fiona Regan Ireland 35 623 0.4× 1.0k 1.0× 498 0.8× 422 0.9× 110 0.3× 153 3.9k
Jayant M. Modak India 38 761 0.5× 1.3k 1.3× 849 1.4× 270 0.6× 718 1.9× 113 4.0k
Chun‐Han Ko Taiwan 31 805 0.5× 875 0.9× 332 0.5× 321 0.7× 96 0.3× 106 3.1k
Anderson Santos Souza Brazil 17 445 0.3× 647 0.7× 470 0.8× 307 0.6× 151 0.4× 36 3.8k
Haiying Yu China 28 775 0.5× 537 0.5× 184 0.3× 262 0.5× 178 0.5× 106 2.1k

Countries citing papers authored by Dan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Wu. A scholar is included among the top collaborators of Dan 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 Dan Wu. Dan 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
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2.
Pan, Yan, Hongxia Cai, Yuxin Ran, et al.. (2025). Revealing 1,3-diphenylpropane’s coagulation toxicity via infomaxnet-based network toxicology and molecular simulations. Ecotoxicology and Environmental Safety. 303. 118834–118834.
3.
Wu, Dan, et al.. (2025). Single atom Co enhanced piezocatalysis for PMS activation: Performance and mechanism. Chemical Engineering Journal. 524. 169788–169788.
4.
Liu, Yaxi, Shuangbin Xu, Qiusheng Wu, et al.. (2025). EasyMultiProfiler: an efficient multi-omics data integration and analysis workflow for microbiome research. Science China Life Sciences. 69(2). 321–330. 4 indexed citations
5.
Wu, Dan, Shuchang Wu, Jinliang Liu, et al.. (2025). Tuning the surface structure of an Fe-based catalyst for transfer hydrogenation of nitroarenes at near room temperature. Chemical Communications. 61(29). 5455–5458. 1 indexed citations
6.
7.
Jing, Haiming, Yan Pan, Hongxia Cai, et al.. (2025). L-Theanine Extends the Lifespan of Caenorhabditis elegans by Reducing the End Products of Advanced Glycosylation. Foods. 14(2). 221–221. 1 indexed citations
8.
Liu, Yuqi, et al.. (2024). Single Co atoms incorporated on Fe-Ni-LDH with enriched oxygen vacancies for efficient peroxymonosulfate activation: Investigation of electron transfer mechanism. Journal of environmental chemical engineering. 12(5). 113723–113723. 2 indexed citations
9.
Pan, Yan, Hongxia Cai, Dan Wu, et al.. (2024). WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in C. elegans: Insights into Disease and Healthy Aging. International Journal of Molecular Sciences. 25(17). 9675–9675. 4 indexed citations
10.
11.
Zhao, Huanxin, et al.. (2023). Coupling the effect of Co and Mo on peroxymonosulfate activation for the removal of organic pollutants. Environmental Science and Pollution Research. 30(16). 48389–48400. 8 indexed citations
12.
Zhang, Jing, Dan Wu, Yong‐Xing He, et al.. (2020). Rapamycin inhibits AR signaling pathway in prostate cancer by interacting with the FK1 domain of FKBP51. Biochemistry and Biophysics Reports. 23. 100778–100778. 9 indexed citations
13.
Chen, Weirui, et al.. (2017). Mechanism insight of pollutant degradation and bromate inhibition by Fe-Cu-MCM-41 catalyzed ozonation. Journal of Hazardous Materials. 346. 226–233. 56 indexed citations
14.
Dong, De, Kuan Ren, Jianlin Zheng, et al.. (2016). The crystal structure of Cpf1 in complex with CRISPR RNA. Nature. 532(7600). 522–526. 313 indexed citations
15.
Wu, Dan, et al.. (2016). Genetic control and regulatory mechanisms of succinoglycan and curdlan biosynthesis in genus Agrobacterium. Applied Microbiology and Biotechnology. 100(14). 6183–6192. 31 indexed citations
16.
Yang, Jixian, Wei Wei, Shanshan Pi, et al.. (2015). Competitive adsorption of heavy metals by extracellular polymeric substances extracted from Klebsiella sp. J1. Bioresource Technology. 196. 533–539. 94 indexed citations
17.
Wu, Dan & Zhong‐Xia Wang. (2014). P,N,N-Pincer nickel-catalyzed cross-coupling of aryl fluorides and chlorides. Organic & Biomolecular Chemistry. 12(33). 6414–6414. 28 indexed citations
18.
Wu, Dan, Masuo Goto, Susan L. Morris‐Natschke, et al.. (2014). Design and synthesis of novel spin-labeled camptothecin derivatives as potent cytotoxic agents. Bioorganic & Medicinal Chemistry. 22(22). 6453–6458. 15 indexed citations
19.
Li, Huaixing, et al.. (2007). <italic>p53</italic> Promoter-based Reporter Gene <italic>in vitro</italic> Assays for Quick Assessment of Agents with Genotoxic Potential. Acta Biochimica et Biophysica Sinica. 39(3). 181–186. 3 indexed citations
20.
Wu, Dan, et al.. (2000). Isolation and characterization of a new bacteriocin from Lactobacillus gasseri KT7. Journal of Applied Microbiology. 88(5). 877–886. 71 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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