Shaohua Chen

22.5k total citations · 3 hit papers
323 papers, 15.3k citations indexed

About

Shaohua Chen is a scholar working on Pollution, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shaohua Chen has authored 323 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Pollution, 87 papers in Molecular Biology and 53 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shaohua Chen's work include Pesticide and Herbicide Environmental Studies (78 papers), Pharmaceutical and Antibiotic Environmental Impacts (56 papers) and Environmental Toxicology and Ecotoxicology (37 papers). Shaohua Chen is often cited by papers focused on Pesticide and Herbicide Environmental Studies (78 papers), Pharmaceutical and Antibiotic Environmental Impacts (56 papers) and Environmental Toxicology and Ecotoxicology (37 papers). Shaohua Chen collaborates with scholars based in China, United States and India. Shaohua Chen's co-authors include Martin Ravallion, Pankaj Bhatt, Yaohua Huang, Wenping Zhang, Sandhya Mishra, Ziqiu Lin, Meiying Hu, Shimei Pang, Prem Sangraula and Hui Zhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Shaohua Chen

312 papers receiving 14.4k citations

Hit Papers

China's (uneven) progress against poverty 2005 2026 2012 2019 2005 2010 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohua Chen China 72 5.1k 2.5k 2.4k 2.4k 2.3k 323 15.3k
K.E. Giller Netherlands 90 3.1k 0.6× 12.9k 5.1× 1.1k 0.5× 567 0.2× 875 0.4× 561 33.4k
Jikun Huang China 72 524 0.1× 3.8k 1.5× 321 0.1× 1.5k 0.6× 1.8k 0.8× 390 17.1k
Jason Hill United States 39 1.4k 0.3× 3.6k 1.4× 1.6k 0.7× 698 0.3× 1.6k 0.7× 79 18.8k
Ingo Fetzer Germany 34 973 0.2× 841 0.3× 995 0.4× 1.6k 0.7× 604 0.3× 83 13.1k
Lawrence Haddad United States 38 585 0.1× 3.6k 1.4× 177 0.1× 1.8k 0.8× 645 0.3× 130 14.6k
Daniel M. Kammen United States 65 5.5k 1.1× 298 0.1× 1.4k 0.6× 1.4k 0.6× 621 0.3× 338 19.2k
Sherman Robinson United States 44 462 0.1× 3.7k 1.5× 296 0.1× 1.4k 0.6× 667 0.3× 210 16.0k
David Zilberman United States 66 636 0.1× 3.1k 1.2× 146 0.1× 748 0.3× 1.2k 0.5× 510 16.8k
Cynthia A. de Wit Sweden 56 4.3k 0.9× 676 0.3× 12.3k 5.1× 1.3k 0.5× 356 0.2× 136 21.0k
Bin Zhang China 72 1.5k 0.3× 2.1k 0.8× 516 0.2× 778 0.3× 1.2k 0.5× 907 19.5k

Countries citing papers authored by Shaohua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Chen. A scholar is included among the top collaborators of Shaohua Chen 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 Shaohua Chen. Shaohua Chen 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.
Chen, Shaohua, et al.. (2025). The optimised model of predicting protein‐metal ion ligand binding residues. IET Systems Biology. 19(1). e70001–e70001. 1 indexed citations
2.
Chen, Wenjuan, Tong Yu, Parul Chaudhary, et al.. (2025). Biodegradation of the widely used amide herbicides: Microbial resources, catabolic pathways and molecular mechanisms. Journal of Environmental Management. 394. 127378–127378.
3.
Zhang, Bo, et al.. (2024). Characteristics and key driving factors of nitrous oxide emissions from a full-scale landfill leachate treatment system. The Science of The Total Environment. 931. 172821–172821. 5 indexed citations
4.
Saleh, Dina, et al.. (2024). Assessment of biochemical biomarkers and environmental stress indicators in some freshwater fish. Environmental Geochemistry and Health. 46(11). 464–464. 4 indexed citations
5.
Wang, Tianyue, Liping Wang, Pengfei Wang, et al.. (2024). Microbes as carbendazim degraders: opportunity and challenge. Frontiers in Microbiology. 15. 1424825–1424825. 5 indexed citations
6.
Yang, Guanglin, et al.. (2024). Developing an advanced diagnostic model for hepatocellular carcinoma through multi-omics integration leveraging diverse cell-death patterns. Frontiers in Immunology. 15. 1410603–1410603. 9 indexed citations
7.
Zhang, Liwen, et al.. (2024). Riboflavin derivatives as a novel electron transfer mediator for enhancing Cr(VI) removal by Shewanella oneidensis MR-1. International Biodeterioration & Biodegradation. 195. 105892–105892. 1 indexed citations
8.
9.
Chen, Shao-Fang, Wenjuan Chen, Haoran Song, et al.. (2024). Microorganism-Driven 2,4-D Biodegradation: Current Status and Emerging Opportunities. Molecules. 29(16). 3869–3869. 13 indexed citations
12.
Zhang, Shu, et al.. (2023). Combination of N-acetyl Cysteine and Thymoquinone Alleviates Hepatocellular Toxicities by Radiation and CCl4 Intoxication in SD Rats. Indian Journal of Pharmaceutical Education and Research. 57(3). 802–812.
13.
Chen, Shaohua, et al.. (2021). Study on the Inhibitory Effect of Curcumin on GBM and Its Potential Mechanism. Drug Design Development and Therapy. Volume 15. 2769–2781. 15 indexed citations
14.
Wang, Huishan, Lisheng Liao, Shaohua Chen, & Lian‐Hui Zhang. (2020). A Quorum Quenching Bacterial Isolate Contains Multiple Substrate-Inducible Genes Conferring Degradation of Diffusible Signal Factor. Applied and Environmental Microbiology. 86(7). 30 indexed citations
15.
Sun, Yan, Jirong Lan, Yaguang Du, et al.. (2020). Efficient removal of heavy metals by synergistic actions of microorganisms and waste molasses. Bioresource Technology. 302. 122797–122797. 42 indexed citations
16.
Wang, Chao, Fuzhou Ye, Changqing Chang, et al.. (2019). Agrobacteria reprogram virulence gene expression by controlled release of host-conjugated signals. Proceedings of the National Academy of Sciences. 116(44). 22331–22340. 24 indexed citations
17.
Liu, Shiyin, Fei He, Yumei Chen, et al.. (2018). Pseudomonas sp. ST 4 produces variety of active compounds to interfere fungal sexual mating and hyphal growth. Microbial Biotechnology. 13(1). 107–117. 17 indexed citations
18.
Li, Dongliang, Zhiqiang Zhang, Shaohua Chen, et al.. (2015). Expression of T-cadherin in hepatocellular carcinoma and its relationship with relapse and metastasis of tumor. SHILAP Revista de lepidopterología. 40(4). 315–318. 1 indexed citations
19.
Chen, Shaohua. (2012). Arsenic resistance mechanisms in Rhodopseudomonas palustris under anaerobic and light conditions. Acta Scientiae Circumstantiae. 7 indexed citations
20.
Chen, Shaohua. (2008). Study on preparation and dyeing wastewater treatment of activated carbon from walnut hull. 2 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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