Shaohua Wu
- Health, Toxicology and Mutagenesis top 0.5%
- Pollution top 0.5%
- Global and Planetary Change top 2%
- Environmental Engineering top 2%
- Ecology top 5%
- Topics
- Heavy metals in environment (26 papers)Land Use and Ecosystem Services (21 papers)Toxic Organic Pollutants Impact (15 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shaohua Wu
115 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Health, Toxicology and Mutagenesis 1.4k
- Pollution 1.2k
- Global and Planetary Change 1.1k
- Environmental Engineering 554
- Ecology 452
Countries citing papers authored by Shaohua Wu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | Identification and differentially expressed analysis of microRNA associated with dormancy of pear flower buds. | 4 |
| 8 | 260 | |
| 9 | 9 | |
| 10 | 20 | |
| 11 | [Mapping Critical Loads of Heavy Metals for Soil Based on Different Environmental Effects]. | 1 |
| 12 | 146 | |
| 13 | Numerical simulation and risk calculation on storm surge of Ningbo | 3 |
| 14 | Influence of plow pan on enrichment and depletion of heavy metals in surface soils. | 2 |
| 15 | Provincial scale spatial variation of cultivated land production capacity and its impact factors. | 3 |
| 16 | ISSR analysis of germplasm in longan. | 1 |
| 17 | Inhibition of Mosla chinensis volatile oil (MCVO) on influenza virus A_(3) | 2 |
| 18 | The Research Advances on dfr Gene of Anthocyanin Biosynthesis | 1 |
| 19 | Chemical Constituents from Dysoxylum hainanense | 3 |
| 20 | Chemical constituents from Walsura yunnanensis | 1 |
About Shaohua Wu
Shaohua Wu is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Global and Planetary Change, having authored 120 papers that have together received 3.9k indexed citations. Recurring topics across this work include Heavy metals in environment (26 papers), Land Use and Ecosystem Services (21 papers) and Toxic Organic Pollutants Impact (15 papers). The work is most often cited by research in Pollution (1.2k citations), Health, Toxicology and Mutagenesis (1.4k citations) and Global and Planetary Change (1.1k citations). Shaohua Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shenglü Zhou, Chunhui Wang, Hong Liao, Dongxiang Chen, Yaxing Shi, Daohao Yan, Lian Chen, Yujie Yuan, Fufu Li and Xingong Li. Their work appears in journals such as Nature, Environmental Science & Technology and PLoS ONE.
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.