Chao Shen

1.7k total citations
53 papers, 1.2k citations indexed

About

Chao Shen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Chao Shen has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Health, Toxicology and Mutagenesis and 10 papers in Pollution. Recurrent topics in Chao Shen's work include Environmental Toxicology and Ecotoxicology (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers) and Zebrafish Biomedical Research Applications (6 papers). Chao Shen is often cited by papers focused on Environmental Toxicology and Ecotoxicology (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers) and Zebrafish Biomedical Research Applications (6 papers). Chao Shen collaborates with scholars based in China, United Kingdom and Taiwan. Chao Shen's co-authors include Zhenghong Zuo, Tingjun Hou, Dongsheng Cao, Gaoqi Weng, Yixi Zhou, Zhe Wang, Dan Li, Chengyong He, Dejun Jiang and Bo Yang and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Chao Shen

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Shen China 20 512 270 250 150 132 53 1.2k
Rui Xiong China 23 537 1.0× 118 0.4× 97 0.4× 75 0.5× 133 1.0× 70 1.4k
Tian Xie China 26 1.3k 2.5× 71 0.3× 60 0.2× 98 0.7× 140 1.1× 67 2.6k
Feng Cui China 22 675 1.3× 29 0.1× 223 0.9× 215 1.4× 128 1.0× 80 1.4k
Yuki Tanaka Japan 19 575 1.1× 31 0.1× 78 0.3× 23 0.2× 55 0.4× 116 1.5k
Shihua Zhang China 27 1.1k 2.2× 130 0.5× 18 0.1× 86 0.6× 92 0.7× 108 2.3k
Peng Shen China 21 663 1.3× 55 0.2× 46 0.2× 19 0.1× 92 0.7× 78 1.7k
Pawan Gupta India 20 507 1.0× 94 0.3× 45 0.2× 32 0.2× 71 0.5× 64 1.1k
Boyang Zhang China 25 732 1.4× 16 0.1× 139 0.6× 52 0.3× 49 0.4× 92 1.7k
Meng Jiang China 22 616 1.2× 22 0.1× 57 0.2× 249 1.7× 48 0.4× 98 1.8k

Countries citing papers authored by Chao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Shen. A scholar is included among the top collaborators of Chao Shen 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 Chao Shen. Chao Shen 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.
Shen, Chao, Wenhua Rao, Tao Lin, et al.. (2025). Comprehensive risk assessment for five SDHI fungicides with AhR agonistic activity to aquatic ecosystems. Pesticide Biochemistry and Physiology. 215. 106665–106665.
2.
Li, Yuwen, Peng Huang, Weilong Tan, et al.. (2024). Investigating the role of killer cell immunoglobulin‐like receptors and human leukocyte antigen genetic variants in hepatitis C virus infection. Journal of Medical Virology. 96(7). e29776–e29776. 1 indexed citations
3.
Qin, Yuan, et al.. (2024). Effects and mechanisms of theabrownin from black tea in improving hyperuricemia: Evidence from animal study and clinical trial. International Journal of Biological Macromolecules. 293. 139373–139373. 3 indexed citations
4.
Shen, Chao, Xinglu Pan, Xiaohu Wu, et al.. (2024). Prediction of Potential Risk for Flupyradifurone and Its Transformation Products to Hydrobionts. Journal of Agricultural and Food Chemistry. 72(27). 15151–15163. 8 indexed citations
5.
Huang, Jingwen, Guannan Lou, Wei Gu, & Chao Shen. (2024). Microgrid Formation Method for Load Restoration in Distribution Network with Dynamic Frequency Constraints. Journal of Modern Power Systems and Clean Energy. 13(4). 1323–1334.
6.
Shen, Chao, et al.. (2023). Black phosphorus quantum dots induce myocardial inflammatory responses and metabolic disorders in mice. Journal of Environmental Sciences. 137. 53–64. 8 indexed citations
7.
Chen, Liang, et al.. (2023). Dietary bile acids improve breast muscle growth in chickens through FXR/IGF2 pathway. Poultry Science. 103(2). 103346–103346. 9 indexed citations
8.
Shen, Chao, et al.. (2022). Developmental toxicity and neurotoxicity assessment of R-, S-, and RS-propylene glycol enantiomers in zebrafish (Danio rerio) larvae. Environmental Science and Pollution Research. 29(20). 30537–30547. 1 indexed citations
9.
Shen, Chao, et al.. (2022). Computer-aided toxicity prediction and potential risk assessment of two novel neonicotinoids, paichongding and cycloxaprid, to hydrobionts. The Science of The Total Environment. 861. 160605–160605. 9 indexed citations
10.
Shen, Chao, Yimei Cai, Jialing Li, Chengyong He, & Zhenghong Zuo. (2022). Mepanipyrim induces visual developmental toxicity and vision-guided behavioral alteration in zebrafish larvae. Journal of Environmental Sciences. 124. 76–88. 9 indexed citations
11.
Wang, Mingyang, Zhe Wang, Huiyong Sun, et al.. (2021). Deep learning approaches for de novo drug design: An overview. Current Opinion in Structural Biology. 72. 135–144. 86 indexed citations
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13.
Shen, Chao, Kongyang Zhu, Jialing Li, et al.. (2020). Screening of potential oestrogen receptor α agonists in pesticides via in silico, in vitro and in vivo methods. Environmental Pollution. 270. 116015–116015. 14 indexed citations
14.
Shen, Chao, Yixi Zhou, Chen Tang, Chengyong He, & Zhenghong Zuo. (2020). Developmental exposure to mepanipyrim induces locomotor hyperactivity in zebrafish (Danio rerio) larvae. Chemosphere. 256. 127106–127106. 26 indexed citations
15.
Zhu, Kongyang, Chao Shen, Chen Tang, et al.. (2020). Improvement in the screening performance of potential aryl hydrocarbon receptor ligands by using supervised machine learning. Chemosphere. 265. 129099–129099. 26 indexed citations
16.
Tang, Chen, Chao Shen, Kongyang Zhu, et al.. (2020). Exposure to the AhR agonist cyprodinil impacts the cardiac development and function of zebrafish larvae. Ecotoxicology and Environmental Safety. 201. 110808–110808. 25 indexed citations
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19.
Fan, Wei, Chao Shen, Ming Wu, Zhengyuan Zhou, & Zhirong Guo. (2015). Association and Interaction of PPARα, δ, and γ Gene Polymorphisms with Low-Density Lipoprotein-Cholesterol in a Chinese Han Population. Genetic Testing and Molecular Biomarkers. 19(7). 379–386. 19 indexed citations
20.
Sun, Haiming, Xuelong Zhang, Lidan Xu, et al.. (2010). XRCC3 Thr241Met polymorphism with lung cancer and bladder cancer: A meta‐analysis. Cancer Science. 101(8). 1777–1782. 23 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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