Meijin Du

532 total citations
25 papers, 413 citations indexed

About

Meijin Du is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Organic Chemistry. According to data from OpenAlex, Meijin Du has authored 25 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 10 papers in Pollution and 4 papers in Organic Chemistry. Recurrent topics in Meijin Du's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Toxic Organic Pollutants Impact (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Meijin Du is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Toxic Organic Pollutants Impact (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Meijin Du collaborates with scholars based in China, Canada and United Kingdom. Meijin Du's co-authors include Yuanyuan Zhao, Minghao Li, Jiawen Yang, Xixi Li, Yu Li, Yu Li, Xixi Li, Xiaohui Zhao, Wenwen Gu and Yilin Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Meijin Du

25 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meijin Du China 8 219 152 46 39 35 25 413
Martin Ezechiáš Czechia 10 225 1.0× 198 1.3× 58 1.3× 29 0.7× 31 0.9× 13 399
Maria Júlia Tasso Brazil 6 165 0.8× 120 0.8× 30 0.7× 22 0.6× 30 0.9× 7 321
Chi Yao China 8 258 1.2× 190 1.3× 51 1.1× 24 0.6× 17 0.5× 14 388
Olumuyiwa O. Ogunlaja Nigeria 10 152 0.7× 219 1.4× 42 0.9× 27 0.7× 30 0.9× 34 471
Francine Inforçato Vacchi Brazil 10 152 0.7× 96 0.6× 39 0.8× 15 0.4× 30 0.9× 17 360
Araceli Amaya Chávez Mexico 13 189 0.9× 100 0.7× 68 1.5× 16 0.4× 49 1.4× 36 485
Josiane Aparecida de Souza Vendemiatti Brazil 9 155 0.7× 90 0.6× 36 0.8× 16 0.4× 32 0.9× 15 357
Murilo Pazin Brazil 7 127 0.6× 123 0.8× 31 0.7× 23 0.6× 36 1.0× 12 333
Maria I.H. Schmied-Tobies Germany 12 328 1.5× 139 0.9× 54 1.2× 31 0.8× 17 0.5× 20 502
Shiwangi Dwivedi India 4 232 1.1× 111 0.7× 55 1.2× 26 0.7× 16 0.5× 5 494

Countries citing papers authored by Meijin Du

Since Specialization
Citations

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

Fields of papers citing papers by Meijin Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meijin Du

This figure shows the co-authorship network connecting the top 25 collaborators of Meijin Du. A scholar is included among the top collaborators of Meijin Du 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 Meijin Du. Meijin Du 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
2.
Li, Qing, Yunxiang Li, Qikun Pu, et al.. (2024). Exposure estimation and neurotoxicity inhibition of dioxins in sensitive populations near domestic waste incineration plant through adverse outcome pathway. Journal of Hazardous Materials. 469. 134066–134066. 4 indexed citations
3.
Wu, Fuxing, et al.. (2024). In silico degradation of fluoroquinolones by a microalgae-based constructed wetland system. Journal of Hazardous Materials. 476. 134946–134946. 4 indexed citations
4.
Du, Meijin, Qikun Pu, Yingjie Xu, Yu Li, & Xixi Li. (2024). Improved microalgae carbon fixation and microplastic sedimentation in the lake through in silico method. The Science of The Total Environment. 924. 171623–171623. 3 indexed citations
5.
Yu, Yangyang, Meijin Du, Di Lian, et al.. (2024). Acoustic Wave-Driven Microdroplet Enrichment for Surface-Enhanced Raman Spectroscopy Detection. SHILAP Revista de lepidopterología. 5(4). 364–377. 1 indexed citations
7.
Li, Xixi, et al.. (2023). Mechanism analysis of synthetic musks-induced miscarriage risk in pregnant women: Molecular and adverse outcome pathways perspectives. The Science of The Total Environment. 891. 164501–164501. 5 indexed citations
8.
Li, Xixi, Rui Li, Yong Niu, et al.. (2023). Mitigating abortion risk of synthetic musk-contained body wash in pregnant women: Risk assessment and mechanism analysis. Environmental Pollution. 338. 122672–122672. 2 indexed citations
9.
Zhao, Yuanyuan, et al.. (2023). Synthesis of environmentally friendly neonicotinoid insecticide with proper functional properties by theoretical methodologies. Ecotoxicology and Environmental Safety. 268. 115708–115708. 2 indexed citations
10.
Du, Meijin, et al.. (2023). Reduced bacterial resistance antibiotics with improved microbiota tolerance in human intestinal: Molecular design and mechanism analysis. Journal of Hazardous Materials. 460. 132368–132368. 3 indexed citations
11.
13.
Gu, Wenwen, et al.. (2022). A new perspective to improve the treatment of Lianhuaqingwen on COVID-19 and prevent the environmental health risk of medication. Environmental Science and Pollution Research. 29(49). 74208–74224. 5 indexed citations
14.
Gu, Wenwen, et al.. (2021). Identification and regulation of ecotoxicity of polychlorinated naphthalenes to aquatic food Chain (green algae-Daphnia magna-fish). Aquatic Toxicology. 233. 105774–105774. 25 indexed citations
15.
Han, Zhenzhen, et al.. (2020). A novel pharmacophore model on PAEs’ estrogen and thyroid hormone activities using the TOPSIS and its application in molecule modification. Environmental Science and Pollution Research. 27(31). 38805–38818. 8 indexed citations
16.
Du, Meijin, et al.. (2020). Efficacy coefficient method assisted quadruple-activities 3D-QSAR pharmacophore model for application in environmentally friendly PAE molecular modification. Environmental Science and Pollution Research. 27(19). 24103–24114. 7 indexed citations
17.
Li, Minghao, et al.. (2020). Application of a 2D-QSAR with a sine normalization method for the biodegradation of fluoroquinolones to poison cyanobacteria. Environmental Science and Pollution Research. 28(9). 11302–11316. 8 indexed citations
18.
Du, Meijin, et al.. (2019). Evaluation of the enrichment and amplification effect of pentachlorobenzene withlower bioconcentration in the food chain before and after modification. TURKISH JOURNAL OF CHEMISTRY. 43(6). 1532–1551. 4 indexed citations
19.
Du, Meijin, Wenwen Gu, Xixi Li, Fuqiang Fan, & Yu Li. (2018). Modification of Hexachlorobenzene to Molecules with Lower Long-Range Transport Potentials Using 3D-QSAR Models with a Full Factor Experimental Design. Advances in marine biology. 81. 129–165. 7 indexed citations
20.
Li, Xixi, Zhenhua Chu, Jiawen Yang, et al.. (2018). Synthetic Musks: A Class of Commercial Fragrance Additives in Personal Care Products (PCPs) Causing Concern as Emerging Contaminants. Advances in marine biology. 81. 213–280. 22 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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