Wangda Cheng

2.0k total citations
37 papers, 1.7k citations indexed

About

Wangda Cheng is a scholar working on Plant Science, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Wangda Cheng has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 19 papers in Pollution and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Wangda Cheng's work include Heavy metals in environment (16 papers), Plant Micronutrient Interactions and Effects (8 papers) and Plant Stress Responses and Tolerance (7 papers). Wangda Cheng is often cited by papers focused on Heavy metals in environment (16 papers), Plant Micronutrient Interactions and Effects (8 papers) and Plant Stress Responses and Tolerance (7 papers). Wangda Cheng collaborates with scholars based in China, United Kingdom and United States. Wangda Cheng's co-authors include Guoping Zhang, Yong‐Guan Zhu, Min Qiao, Feibo Wu, Nan Wu, Bing Zhang, Fanrong Zeng, Ying Ge, Guilan Duan and Ying Mao and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Wangda Cheng

37 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wangda Cheng China 21 883 857 236 222 162 37 1.7k
Zhigao Zhou China 24 896 1.0× 460 0.5× 183 0.8× 239 1.1× 96 0.6× 60 1.5k
Niels Henrik Spliid Denmark 25 952 1.1× 983 1.1× 125 0.5× 277 1.2× 186 1.1× 44 2.2k
Poornima Vajpayee India 23 700 0.8× 597 0.7× 75 0.3× 325 1.5× 162 1.0× 48 1.7k
Luqman Riaz China 23 707 0.8× 464 0.5× 74 0.3× 129 0.6× 118 0.7× 49 1.5k
Armelle Braud France 14 491 0.6× 834 1.0× 102 0.4× 322 1.5× 36 0.2× 17 1.7k
Marcelo Pedrosa Gomes Brazil 30 1.5k 1.7× 1.4k 1.7× 351 1.5× 360 1.6× 113 0.7× 103 3.0k
Chong Liu China 23 445 0.5× 456 0.5× 115 0.5× 197 0.9× 53 0.3× 72 1.4k
Yanyu Bao China 23 1.1k 1.2× 270 0.3× 68 0.3× 171 0.8× 111 0.7× 52 1.6k
Kazuhiro Takagi Japan 27 1.0k 1.1× 400 0.5× 190 0.8× 372 1.7× 82 0.5× 81 1.8k
Cristina Becerra-Castro Spain 15 696 0.8× 336 0.4× 53 0.2× 255 1.1× 42 0.3× 17 1.3k

Countries citing papers authored by Wangda Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Wangda Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangda Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Wangda Cheng. A scholar is included among the top collaborators of Wangda Cheng 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 Wangda Cheng. Wangda Cheng 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
3.
Xiao, Feng, Ying Yang, Wangda Cheng, et al.. (2023). High canopy photosynthesis before anthesis explains the outstanding yield performance of rice cultivars with ideal plant architecture. Field Crops Research. 306. 109223–109223. 20 indexed citations
4.
Yang, Xian, et al.. (2020). CHANGES IN LIPID CONTENT WITH ROASTING TEMPERATURE OF LARGE YELLOW CROAKER (LARIMICHTHYS CROCEA) ROE. Italian Journal of Food Science. 32(4). 1 indexed citations
5.
Yan, Huijun, Xuedong Wang, Yuping Yang, et al.. (2020). The effect of straw-returning on antimony and arsenic volatilization from paddy soil and accumulation in rice grains. Environmental Pollution. 263(Pt A). 114581–114581. 12 indexed citations
6.
Gui, Chen, Wangda Cheng, Hailin Zhang, et al.. (2020). Rice nitrogen use efficiency does not link to ammonia volatilization in paddy fields. The Science of The Total Environment. 741. 140433–140433. 25 indexed citations
7.
Yang, Yuping, Xianjin Tang, Hongmei Zhang, et al.. (2020). The characterization of arsenic biotransformation microbes in paddy soil after straw biochar and straw amendments. Journal of Hazardous Materials. 391. 122200–122200. 47 indexed citations
8.
Yang, Yuping, Peng Wang, Huijun Yan, et al.. (2019). NH4H2PO4-extractable arsenic provides a reliable predictor for arsenic accumulation and speciation in pepper fruits (Capsicum annum L.). Environmental Pollution. 251. 651–658. 19 indexed citations
9.
Zhou, Xue, Min Qiao, Jian‐Qiang Su, et al.. (2018). Turning pig manure into biochar can effectively mitigate antibiotic resistance genes as organic fertilizer. The Science of The Total Environment. 649. 902–908. 92 indexed citations
10.
Cheng, Wangda, et al.. (2016). Multiple functions of Lactobacillus spp. fermented soybean meal in aquafeed.. 12(4). 28–32. 2 indexed citations
12.
Gui, Chen, Ying Chen, Wangda Cheng, et al.. (2015). Do high nitrogen use efficiency rice cultivars reduce nitrogen losses from paddy fields?. Agriculture Ecosystems & Environment. 209. 26–33. 88 indexed citations
13.
Cao, Fangbin, Runfeng Wang, Wangda Cheng, et al.. (2014). Genotypic and environmental variation in cadmium, chromium, lead and copper in rice and approaches for reducing the accumulation. The Science of The Total Environment. 496. 275–281. 87 indexed citations
14.
Liu, Danqing, Chunhua Zhang, Xue Chen, et al.. (2013). Effects of pH, Fe, and Cd on the uptake of Fe2+ and Cd2+ by rice. Environmental Science and Pollution Research. 20(12). 8947–8954. 34 indexed citations
15.
Zhang, Chunhua, et al.. (2013). Non‐protein thiols and glutathione S‐transferase alleviate Cd stress and reduce root‐to‐shoot translocation of Cd in rice. Journal of Plant Nutrition and Soil Science. 176(4). 626–633. 49 indexed citations
16.
Liu, Lijuan, et al.. (2011). Effect of H2O2 Pretreatment on Cd Tolerance of Different Rice Cultivars. Rice Science. 18(1). 29–35. 28 indexed citations
17.
Cai, Yue, Fangbin Cao, Wangda Cheng, Guoping Zhang, & Feibo Wu. (2010). Modulation of Exogenous Glutathione in Phytochelatins and Photosynthetic Performance Against Cd Stress in the Two Rice Genotypes Differing in Cd Tolerance. Biological Trace Element Research. 143(2). 1159–1173. 73 indexed citations
18.
Zeng, Fanrong, Ying Mao, Wangda Cheng, Feibo Wu, & Guoping Zhang. (2007). Genotypic and environmental variation in chromium, cadmium and lead concentrations in rice. Environmental Pollution. 153(2). 309–314. 160 indexed citations
19.
Zhang, Jıng, Yong‐Guan Zhu, Da‐Li Zeng, et al.. (2007). Mapping quantitative trait loci associated with arsenic accumulation in rice (Oryza sativa). New Phytologist. 177(2). 350–356. 89 indexed citations
20.
Cheng, Wangda, et al.. (2006). Genotypic and environmental variation in cadmium, chromium, arsenic, nickel, and lead concentrations in rice grains. Journal of Zhejiang University SCIENCE B. 7(7). 565–571. 87 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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