Dan Mo

6.3k total citations · 1 hit paper
172 papers, 4.9k citations indexed

About

Dan Mo is a scholar working on Materials Chemistry, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Dan Mo has authored 172 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 31 papers in Biomedical Engineering and 26 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Dan Mo's work include Atmospheric chemistry and aerosols (17 papers), Air Quality and Health Impacts (17 papers) and Nanoparticles: synthesis and applications (12 papers). Dan Mo is often cited by papers focused on Atmospheric chemistry and aerosols (17 papers), Air Quality and Health Impacts (17 papers) and Nanoparticles: synthesis and applications (12 papers). Dan Mo collaborates with scholars based in China, United States and Pakistan. Dan Mo's co-authors include Guangming Zeng, Jie Liang, Robert A. Yokel, Xingzhong Yuan, Guoshun Zhuang, Zhibin Wu, Longbo Jiang, Daniel Tong, Hou Wang and Wenjie Zhang and has published in prestigious journals such as Environmental Science & Technology, ACS Nano and PLoS ONE.

In The Last Decade

Dan Mo

162 papers receiving 4.8k citations

Hit Papers

The air-borne particulate pollution in Beijing—concentrat... 2004 2026 2011 2018 2004 100 200 300 400 500
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. The air-borne particulate pollution in Beijing—concentration, composition, distribution and sources
    2004 506 citations Dan Mo 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 Mo China 32 1.3k 1.3k 971 667 585 172 4.9k
Liya E. Yu Singapore 37 798 0.6× 1.3k 1.1× 670 0.7× 733 1.1× 934 1.6× 121 4.5k
Jun He China 45 2.3k 1.7× 1.4k 1.1× 1.7k 1.8× 658 1.0× 941 1.6× 252 6.6k
Yuan Liu China 39 1.6k 1.2× 664 0.5× 771 0.8× 832 1.2× 609 1.0× 247 6.0k
Xing Li China 33 911 0.7× 857 0.7× 659 0.7× 420 0.6× 190 0.3× 143 4.3k
Yi Chen China 40 1.0k 0.8× 1.5k 1.2× 392 0.4× 510 0.8× 1.1k 1.9× 206 4.7k
Chung‐Shin Yuan Taiwan 35 2.1k 1.6× 619 0.5× 1.6k 1.7× 258 0.4× 633 1.1× 202 4.3k
Hong Li China 40 1.1k 0.8× 910 0.7× 362 0.4× 639 1.0× 638 1.1× 216 5.8k
Mengyuan Zhang China 30 1.1k 0.8× 926 0.7× 195 0.2× 492 0.7× 420 0.7× 156 4.1k
Xueyan Liu China 39 363 0.3× 911 0.7× 944 1.0× 292 0.4× 902 1.5× 181 4.8k
Hugo Destaillats United States 43 3.1k 2.4× 980 0.8× 762 0.8× 591 0.9× 765 1.3× 88 6.1k

Countries citing papers authored by Dan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Mo. A scholar is included among the top collaborators of Dan Mo 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 Mo. Dan Mo 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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Nie, Xiaojun, Dan Mo, Jingyuan Zhang, et al.. (2025). Engineering Defects in Biochar to Enhance the C-Co-Ce Redox Cycle for Superior Reactive Oxygen Species Generation and Tetracycline Degradation. Colloids and Surfaces A Physicochemical and Engineering Aspects. 732. 139157–139157.
3.
Zhang, Jingyang, Zhisen Li, Dan Mo, et al.. (2024). Construction of multi-pathway electron transfer channel: Mechanism on non-radical to radical promotion in electrocatalysis. Chemical Engineering Journal. 504. 159067–159067. 9 indexed citations
4.
Zhang, Qizhong, Linjing Chen, Xuanlin Li, et al.. (2024). Robust, High-Temperature-Resistant Polyimide Separators with Vertically Aligned Uniform Nanochannels for High-Performance Lithium-Ion Batteries. ACS Nano. 18(46). 32162–32174. 14 indexed citations
5.
Zhang, Xiaoli, Ye Tian, Dan Mo, et al.. (2024). The clinical impact of plasma estrogen receptor-1 mutation in patients with metastatic breast cancer: A meta-analysis. Advances in Clinical and Experimental Medicine. 33(11). 0–0. 1 indexed citations
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Wang, Kun, Chao Gao, Kai Wu, et al.. (2023). ISAT v2.0: an integrated tool for nested-domain configurations and model-ready emission inventories for WRF-AQM. Geoscientific model development. 16(7). 1961–1973. 20 indexed citations
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Wen, Hairuo, Chao Qin, Dan Wang, et al.. (2023). Safety evaluation of PEGylated MNPs and p-PEGylated MNPs in SD rats. Scientific Reports. 13(1). 21501–21501. 4 indexed citations
10.
Zhang, Na, et al.. (2023). CCL20 is a potential therapeutic target associated with immune infiltration in breast cancer. Journal of International Medical Research. 51(8). 3639232690–3639232690. 4 indexed citations
11.
Mo, Dan, Hongjie Guo, Bailin Chen, et al.. (2022). NF‐κB inactivation attenuates the M1 macrophage polarization in experimental necrotizing enterocolitis by glutaredoxin‐1 deficiency. Cell Biology International. 46(11). 1886–1899. 12 indexed citations
12.
Deng, Liling, Tao Chen, Huan Xu, et al.. (2020). The Expression of Snail, Galectin‐3, and IGF1R in the Differential Diagnosis of Benign and Malignant Pheochromocytoma and Paraganglioma. BioMed Research International. 2020(1). 4150735–4150735. 4 indexed citations
13.
Huang, Lei, et al.. (2019). The Association between PON1 (Q192R and L55M) Gene Polymorphisms and Risk of Cancer: A Meta-Analysis Based on 43 Studies. BioMed Research International. 2019. 1–14. 20 indexed citations
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Feng, Baihuan, Xiaoming Song, Dan Mo, et al.. (2018). High level of source-specific particulate matter air pollution associated with cardiac arrhythmias. The Science of The Total Environment. 657. 1285–1293. 42 indexed citations
17.
Luo, Yuan, Jie Liang, Guangming Zeng, et al.. (2017). Seed germination test for toxicity evaluation of compost: Its roles, problems and prospects. Waste Management. 71. 109–114. 353 indexed citations
18.
Wydra, Robert J., et al.. (2013). Block Copolymer Self-Assembled and Cross- linked Nanoassemblies for Combination Delivery of Iron Oxide and Doxorubicin. Journal of Applied Pharmaceutical Science. 3(6). 21. 1 indexed citations
19.
Tong, Daniel, Dan Mo, Tao Wang, & P. Lee. (2012). Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring. Atmospheric chemistry and physics. 12(11). 5189–5205. 75 indexed citations
20.
Hardas, Sarita S., D. Allan Butterfield, Rukhsana Sultana, et al.. (2010). Brain Distribution and Toxicological Evaluation of a Systemically Delivered Engineered Nanoscale Ceria. Toxicological Sciences. 116(2). 562–576. 93 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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