Yang Wen

843 total citations
38 papers, 712 citations indexed

About

Yang Wen is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Computational Theory and Mathematics. According to data from OpenAlex, Yang Wen has authored 38 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 13 papers in Pollution and 7 papers in Computational Theory and Mathematics. Recurrent topics in Yang Wen's work include Environmental Toxicology and Ecotoxicology (17 papers), Toxic Organic Pollutants Impact (10 papers) and Pharmaceutical and Antibiotic Environmental Impacts (9 papers). Yang Wen is often cited by papers focused on Environmental Toxicology and Ecotoxicology (17 papers), Toxic Organic Pollutants Impact (10 papers) and Pharmaceutical and Antibiotic Environmental Impacts (9 papers). Yang Wen collaborates with scholars based in China, United Kingdom and Japan. Yang Wen's co-authors include Yuan H. Zhao, Wei C. Qin, Haibo Jiang, Jia He, Li M. Su, Ying Li, Chi Yao, Chunguang He, Guanghua Lu and Yuanhui Zhao and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yang Wen

36 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Wen China 16 252 210 113 108 98 38 712
Jia He China 20 295 1.2× 279 1.3× 65 0.6× 195 1.8× 127 1.3× 48 969
Dora R. May Passino United States 13 287 1.1× 138 0.7× 55 0.5× 53 0.5× 77 0.8× 30 679
Monique M. Perron United States 20 617 2.4× 483 2.3× 56 0.5× 54 0.5× 74 0.8× 38 1.1k
William Stiteler United States 15 470 1.9× 470 2.2× 179 1.6× 63 0.6× 76 0.8× 24 1.1k
Haruna Watanabe Japan 15 463 1.8× 380 1.8× 57 0.5× 49 0.5× 57 0.6× 40 920
J.W. Deneer Netherlands 15 552 2.2× 395 1.9× 99 0.9× 52 0.5× 56 0.6× 34 875
Rick Helmus Netherlands 20 465 1.8× 318 1.5× 37 0.3× 94 0.9× 80 0.8× 42 1.2k
Michael L. Knuth United States 18 493 2.0× 311 1.5× 42 0.4× 45 0.4× 147 1.5× 30 777
Åsa Arrhenius Sweden 13 510 2.0× 465 2.2× 39 0.3× 34 0.3× 49 0.5× 19 755
C. V. Eadsforth United Kingdom 18 452 1.8× 426 2.0× 41 0.4× 47 0.4× 119 1.2× 42 1.2k

Countries citing papers authored by Yang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Wen. A scholar is included among the top collaborators of Yang Wen 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 Yang Wen. Yang Wen 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.
Xu, Zhenlan, Lu Zhang, Xiaoyuan Shi, et al.. (2025). Response of soil enzyme activity, microbial community and root exudates in wheat rhizosphere to copper hydroxide nanopesticide. Journal of Hazardous Materials. 499. 140197–140197. 1 indexed citations
3.
4.
Gao, Jin, Guangyi Deng, Haibo Jiang, et al.. (2023). Water quality pollution assessment and source apportionment of lake wetlands: A case study of Xianghai Lake in the Northeast China Plain. Journal of Environmental Management. 344. 118398–118398. 34 indexed citations
5.
Huang, Ying, Jia Wang, Shuo Wang, et al.. (2021). Discrimination of active and inactive substances in cytotoxicity based on Tox21 10K compound library: Structure alert and mode of action. Toxicology. 462. 152948–152948. 2 indexed citations
6.
Wang, Shuo, Jia Wang, Xiao Zhang, et al.. (2021). Freshwater quality criteria of four strobilurin fungicides: Interspecies correlation and toxic mechanism. Chemosphere. 284. 131340–131340. 12 indexed citations
7.
Jiang, Haibo, Shanshan Zheng, Yue Wang, et al.. (2020). Relationship among the acute toxicity, critical body residue, and bioconcentration of ortho-dinitrobenzene in zebrafish (Danio rerio) based on toxicokinetics. Environmental Science and Pollution Research. 27(13). 14634–14641. 1 indexed citations
8.
Wang, Jia, Yi Yang, Ying Huang, et al.. (2020). Evaluation of modes of action of pesticides to Daphnia magna based on QSAR, excess toxicity and critical body residues. Ecotoxicology and Environmental Safety. 203. 111046–111046. 13 indexed citations
9.
Wen, Yang, et al.. (2020). Study of marsh wetland landscape pattern evolution on the Zoigê Plateau due to natural/human dual-effects. PeerJ. 8. e9904–e9904. 11 indexed citations
10.
Li, Ying, et al.. (2019). Distribution, Removal, and Risk Assessment of Pharmaceuticals and Their Metabolites in Five Sewage Plants. International Journal of Environmental Research and Public Health. 16(23). 4729–4729. 33 indexed citations
11.
Li, Tiantian, Yang Yu, Shuo Wang, et al.. (2018). Investigation on the relationship between critical body residue and bioconcentration in zebrafish based on bio-uptake kinetics for five nitro-aromatics. Regulatory Toxicology and Pharmacology. 98. 18–23. 5 indexed citations
13.
Zhang, Wenjie, et al.. (2016). Pollution Characteristics and Health Risk Analysis of Heavy Metals in PM(10) and PM(2.5) in Typical Cities in Hunan Province. 6(2). 156. 2 indexed citations
14.
15.
Wang, Yu, Yang Wen, Jia He, et al.. (2014). Investigation on the relationship between bioconcentration factor and distribution coefficient based on class-based compounds: The factors that affect bioconcentration. Environmental Toxicology and Pharmacology. 38(2). 388–396. 34 indexed citations
16.
Wang, Xiao Hua, Yu Wang, Yang Wen, et al.. (2014). Discrimination of excess toxicity from narcotic effect: Influence of species sensitivity and bioconcentration on the classification of modes of action. Chemosphere. 120. 660–673. 26 indexed citations
17.
Zhang, Xujia, Weichao Qin, Jia He, et al.. (2013). Discrimination of excess toxicity from narcotic effect: Comparison of toxicity of class-based organic chemicals to Daphnia magna and Tetrahymena pyriformis. Chemosphere. 93(2). 397–407. 23 indexed citations
18.
Wen, Yang, Jia He, Xian Liu, Jinjie Li, & Yuanhui Zhao. (2012). Linear and non-linear relationships between bioconcentration and hydrophobicity: Theoretical consideration. Environmental Toxicology and Pharmacology. 34(2). 200–208. 23 indexed citations
19.
Wen, Yang, Li M. Su, Wei C. Qin, et al.. (2011). Linear and non-linear relationships between soil sorption and hydrophobicity: Model, validation and influencing factors. Chemosphere. 86(6). 634–640. 33 indexed citations
20.
Zhao, Yuan H., et al.. (2010). Toxicity of organic chemicals to Tetrahymena pyriformis: Effect of polarity and ionization on toxicity. Chemosphere. 79(1). 72–77. 29 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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