Zhu Tang

2.5k total citations
31 papers, 2.0k citations indexed

About

Zhu Tang is a scholar working on Environmental Chemistry, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Zhu Tang has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Chemistry, 13 papers in Pollution and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Zhu Tang's work include Arsenic contamination and mitigation (16 papers), Heavy metals in environment (9 papers) and Composting and Vermicomposting Techniques (5 papers). Zhu Tang is often cited by papers focused on Arsenic contamination and mitigation (16 papers), Heavy metals in environment (9 papers) and Composting and Vermicomposting Techniques (5 papers). Zhu Tang collaborates with scholars based in China, Australia and United Kingdom. Zhu Tang's co-authors include Fang‐Jie Zhao, Qirong Shen, Guanghui Yu, Peng Wang, Dongyang Liu, Hongping Chen, Dabing Xu, Jun Zhang, Zhong Tang and Ruifu Zhang and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Applied and Environmental Microbiology.

In The Last Decade

Zhu Tang

31 papers receiving 2.0k citations

Peers

Zhu Tang

POLLU

HTM

Xibai Zeng China

Vincenza Cozzolino Italy

Safdar Bashir Pakistan

Jianjun Yang China

Xiaokai Zhang China

Xingxiang Wang China

Andreas Schaeffer Germany

Georges Merlina France

Nai-Xian Feng China

Xibai Zeng China

Zhu Tang

756 ×0.8

POLLU

653 ×0.8

360 ×0.7

HTM

330 ×0.9

400 ×1.2

Citations per year, relative to Zhu Tang Zhu Tang (= 1×) peers Xibai Zeng

Countries citing papers authored by Zhu Tang

Since Specialization

Citations

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

Fields of papers citing papers by Zhu Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhu Tang. A scholar is included among the top collaborators of Zhu Tang 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 Zhu Tang. Zhu Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gao, Axiang, et al.. (2025). Calcium peroxide applications suppress microbial arsenic methylation and straighthead disease in rice. Plant and Soil. 515(1). 167–181. 1 indexed citations

Sun, Sheng‐Kai, et al.. (2024). Editing Silicon Transporter Genes to Reduce Arsenic Accumulation in Rice. Environmental Science & Technology. 58(4). 1976–1985. 22 indexed citations

Zhao, Peng, Yuan Wang, Hanqing Wang, et al.. (2024). The plastid‐localized lipoamide dehydrogenase 1 is crucial for redox homeostasis, tolerance to arsenic stress and fatty acid biosynthesis in rice. New Phytologist. 242(6). 2604–2619. 3 indexed citations

Duan, Ying, et al.. (2023). Effects of silver nanoparticles and various forms of silver on nitrogen removal by the denitrifier Pseudomonas stutzeri and their toxicity mechanisms. Ecotoxicology and Environmental Safety. 269. 115785–115785. 4 indexed citations

Dai, Jun, Zhu Tang, Axiang Gao, et al.. (2022). Widespread Occurrence of the Highly Toxic Dimethylated Monothioarsenate (DMMTA) in Rice Globally. Environmental Science & Technology. 56(6). 3575–3586. 42 indexed citations

Chen, Chuan, Yu Yu, Yijie Wang, et al.. (2022). Reduction of Dimethylarsenate to Highly Toxic Dimethylarsenite in Paddy Soil and Rice Plants. Environmental Science & Technology. 57(1). 822–830. 22 indexed citations

Sun, Sheng‐Kai, Zhong Tang, Zhu Tang, et al.. (2021). A molecular switch in sulfur metabolism to reduce arsenic and enrich selenium in rice grain. Nature Communications. 12(1). 1392–1392. 82 indexed citations

Dai, Jun, Chuan Chen, Axiang Gao, et al.. (2021). Dynamics of Dimethylated Monothioarsenate (DMMTA) in Paddy Soils and Its Accumulation in Rice Grains. Environmental Science & Technology. 55(13). 8665–8674. 38 indexed citations

Tang, Zhong, Yijie Wang, Axiang Gao, et al.. (2020). Dimethylarsinic acid is the causal agent inducing rice straighthead disease. Journal of Experimental Botany. 71(18). 5631–5644. 67 indexed citations

10.

Dai, Jun, Zhu Tang, Nan Jiang, et al.. (2020). Increased arsenic mobilization in the rice rhizosphere is mediated by iron-reducing bacteria. Environmental Pollution. 263(Pt A). 114561–114561. 55 indexed citations

11.

Wang, Ming, Zhong Tang, Xueping Chen, et al.. (2019). Water management impacts the soil microbial communities and total arsenic and methylated arsenicals in rice grains. Environmental Pollution. 247. 736–744. 75 indexed citations

12.

Tang, Zhong, et al.. (2019). Genetic mapping of ionomic quantitative trait loci in rice grain and straw reveals OsMOT1;1 as the putative causal gene for a molybdenum QTL qMo8. Molecular Genetics and Genomics. 295(2). 391–407. 23 indexed citations

13.

Chen, Hongping, Zhu Tang, Peng Wang, & Fang‐Jie Zhao. (2018). Geographical variations of cadmium and arsenic concentrations and arsenic speciation in Chinese rice. Environmental Pollution. 238. 482–490. 177 indexed citations

14.

Chen, Chuan, Ke Huang, Wan‐Ying Xie, et al.. (2017). Microbial Processes Mediating the Evolution of Methylarsine Gases from Dimethylarsenate in Paddy Soils. Environmental Science & Technology. 51(22). 13190–13198. 17 indexed citations

15.

Duan, Guilan, Guosheng Shao, Zhong Tang, et al.. (2017). Genotypic and Environmental Variations in Grain Cadmium and Arsenic Concentrations Among a Panel of High Yielding Rice Cultivars. Rice. 10(1). 9–9. 141 indexed citations

16.

Zhang, Jun, Yan Xu, Wuxian Zhou, et al.. (2017). Nitrate Stimulates Anaerobic Microbial Arsenite Oxidation in Paddy Soils. Environmental Science & Technology. 51(8). 4377–4386. 116 indexed citations

17.

Yang, Xinping, Qian Li, Zhu Tang, et al.. (2017). Heavy metal concentrations and arsenic speciation in animal manure composts in China. Waste Management. 64. 333–339. 179 indexed citations

18.

Zhang, Jun, Tingting Cao, Zhu Tang, et al.. (2015). Arsenic Methylation and Volatilization by Arsenite S -Adenosylmethionine Methyltransferase in Pseudomonas alcaligenes NBRC14159. Applied and Environmental Microbiology. 81(8). 2852–2860. 83 indexed citations

19.

Liu, Dongyang, Ruifu Zhang, Hongsheng Wu, et al.. (2011). Changes in biochemical and microbiological parameters during the period of rapid composting of dairy manure with rice chaff. Bioresource Technology. 102(19). 9040–9049. 165 indexed citations

20.

Liu, Dongyang, Ruifu Zhang, Xingming Yang, et al.. (2011). Expression, purification and characterization of two thermostable endoglucanases cloned from a lignocellulosic decomposing fungi Aspergillus fumigatus Z5 isolated from compost. Protein Expression and Purification. 79(2). 176–186. 46 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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