Shaohua Wu

4.7k total citations · 1 hit paper
120 papers, 3.9k citations indexed

About

Shaohua Wu is a scholar working on Global and Planetary Change, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shaohua Wu has authored 120 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 28 papers in Pollution and 28 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shaohua Wu's work include Heavy metals in environment (26 papers), Land Use and Ecosystem Services (21 papers) and Toxic Organic Pollutants Impact (15 papers). Shaohua Wu is often cited by papers focused on Heavy metals in environment (26 papers), Land Use and Ecosystem Services (21 papers) and Toxic Organic Pollutants Impact (15 papers). Shaohua Wu collaborates with scholars based in China, United States and Taiwan. Shaohua Wu's co-authors include Shenglü Zhou, Chunhui Wang, Hong Liao, Dongxiang Chen, Yaxing Shi, Daohao Yan, Lian Chen, Yujie Yuan, Fufu Li and Xingong Li and has published in prestigious journals such as Nature, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Shaohua Wu

115 papers receiving 3.8k citations

Hit Papers

Assessing progress toward... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohua Wu China 30 1.4k 1.2k 1.1k 554 452 120 3.9k
Shenglü Zhou China 34 1.4k 1.0× 2.5k 2.0× 728 0.7× 594 1.1× 452 1.0× 133 4.8k
Rui Xiao China 40 1.1k 0.8× 925 0.7× 2.2k 2.0× 659 1.2× 786 1.7× 142 5.0k
Hakan Şevik Türkiye 47 851 0.6× 1.5k 1.2× 825 0.8× 757 1.4× 712 1.6× 157 5.3k
Todd S. Bridges United States 31 1.5k 1.1× 1.2k 1.0× 882 0.8× 371 0.7× 680 1.5× 112 4.7k
Fei Li China 37 1.6k 1.1× 2.0k 1.6× 445 0.4× 567 1.0× 287 0.6× 192 4.8k
T. V. Ramachandra India 42 853 0.6× 1.0k 0.8× 2.2k 2.0× 1.1k 1.9× 853 1.9× 279 7.8k
Andrea Critto Italy 39 699 0.5× 635 0.5× 1.4k 1.3× 495 0.9× 477 1.1× 155 4.7k
Taiyang Zhong China 31 695 0.5× 631 0.5× 1.4k 1.3× 684 1.2× 326 0.7× 84 3.3k
Chen Taiwan 32 874 0.6× 934 0.8× 1.4k 1.3× 605 1.1× 808 1.8× 775 5.4k
Glenn W. Suter United States 40 1.5k 1.1× 1.1k 0.9× 1.0k 0.9× 282 0.5× 1.1k 2.5× 186 4.6k

Countries citing papers authored by Shaohua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Wu. A scholar is included among the top collaborators of Shaohua Wu 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 Wu. Shaohua Wu 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.
Jia, Zhenyi, Shenglü Zhou, Xuefeng Xie, et al.. (2025). Precision management of Cd-contaminated paddy fields with high geochemical backgrounds in karst regions: integrating Bayesian decision tree and spatial zoning. Environmental Pollution. 375. 126282–126282. 1 indexed citations
2.
Qiu, Lefeng, Lixia Yang, Haohao Lyu, et al.. (2024). Chronosequential changes in soil-related ecosystem services after coastal reclamation: Insights for coastal cropland protection. Agriculture Ecosystems & Environment. 363. 108877–108877. 3 indexed citations
3.
Zhang, Hang, et al.. (2023). Micro-agents’ perception of landscape services and their multi-level driving influences in the headwater area of the Qiantang River, China. Environmental Science and Pollution Research. 30(38). 88757–88774. 1 indexed citations
4.
Wang, Jingyi, et al.. (2023). Spatiotemporal decoupling between impervious surface areas and ecosystem services. Environmental Science and Pollution Research. 31(3). 3707–3721. 3 indexed citations
5.
Liang, Li, Jinhang Liu, Mengjie Yang, et al.. (2018). Identification and differentially expressed analysis of microRNA associated with dormancy of pear flower buds.. Acta Horticulturae Sinica. 45(11). 2089–2105. 4 indexed citations
6.
Chen, Dongxiang, Shenglü Zhou, & Shaohua Wu. (2017). Impacts of urban sprawl on agricultural land quality grade structure and potential production based on remote sensing.. Nongye gongcheng xuebao. 33(13). 264–269. 3 indexed citations
7.
Cao, Wei, Shenglü Zhou, & Shaohua Wu. (2017). Measuring Smart Land Use in Urban–Rural Regions of China: A Case Study of Pukou, Nanjing City. Growth and Change. 49(1). 189–202. 9 indexed citations
8.
Fu, Xiang, et al.. (2014). Numerical simulation study on deepwater channel influenced by negative storm surge and its features in Bohai Sea. 36(3). 30–38. 2 indexed citations
9.
Dai, Liang, et al.. (2013). Land ecological assessment of Jintan city in Yangtze River Delta with highly developed economy. Nongye gongcheng xuebao. 2013(8). 2 indexed citations
10.
Tao, Li, Shaohua Wu, Jingming Hou, & Fujiang Yu. (2013). Numerical simulation and risk calculation on storm surge of Ningbo. Acta Oceanologica Sinica. 35(2). 9–14. 3 indexed citations
11.
Wu, Shaohua. (2011). Study on Isolation of Endophytic Fungi from Paeonia delavayi and Their Antimicrobial Activity. Zhōnghuá yàoxué zázhì. 1 indexed citations
12.
Zhang, Hongfu, et al.. (2010). Provincial scale spatial variation of cultivated land production capacity and its impact factors.. Nongye gongcheng xuebao. 26(8). 308–314. 3 indexed citations
13.
Zhu, Qing, Shenglü Zhou, John P. Schmidt, & Shaohua Wu. (2010). Influence of plow pan on enrichment and depletion of heavy metals in surface soils.. Fresenius environmental bulletin. 19(10). 2176–2184. 2 indexed citations
14.
Luo, Yongming, et al.. (2009). Development of the current domestic and international environmental protection and its research progress.. Acta Pedologica Sinica. 46(6). 1146–1154. 2 indexed citations
15.
Zheng, Jinshui, et al.. (2009). ISSR analysis of germplasm in longan.. Journal of Fujian Agriculture and Forestry University. 38(3). 238–242. 1 indexed citations
16.
Wu, Shaohua, et al.. (2009). Estimating the anthropogenic fluxes of heavy metal accumulations in roadside agricultural soils.. Fresenius environmental bulletin. 18. 1336–1340. 4 indexed citations
17.
Wu, Shaohua & Dasheng Zhang. (2002). The Research Advances on dfr Gene of Anthocyanin Biosynthesis. Fujian linxueyuan xuebao. 22(2). 189–192. 1 indexed citations
18.
Luo, Xiao‐Dong, Shaohua Wu, Yun‐Bao Ma, & Da‐Gang Wu. (2001). Chemical Constituents from Dysoxylum hainanense. Acta Botanica Yunnanica. 23(3). 368–372. 3 indexed citations
19.
Luo, Xiao‐Dong, Shaohua Wu, Yun‐Bao Ma, & Da‐Gang Wu. (2001). Chemical constituents from Walsura yunnanensis. Acta Botanica Yunnanica. 23(4). 515–520. 1 indexed citations
20.
Wu, Shaohua, Yun‐Bao Ma, Xiao‐Dong Luo, Da‐Gang Wu, & Ji‐Kai Liu. (2000). The chemical constituents from Toricellia angulata. Acta Botanica Yunnanica. 22(2). 214–218. 4 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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