Ning-Ning Wang
- Environmental Chemistry top 2%
- Pollution top 2%
- Health, Toxicology and Mutagenesis top 5%
- Water Science and Technology top 10%
- Geochemistry and Petrology top 10%
- Co-authors
- Mengchang HeAihua WangLinghao KongYing WangQianyun ZhongChengjun ZhangCongli MaJun Shan
- Topics
- Complex Network Analysis Techniques (4 papers)Arsenic contamination and mitigation (4 papers)Heavy metals in environment (3 papers)
- Journals
- Physical Review LettersThe Science of The Total EnvironmentEnvironmental Science and Pollution Research
- Partner nations
- China
In The Last Decade
Ning-Ning Wang
14 papers receiving 675 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Environmental Chemistry 427
- Pollution 375
- Health, Toxicology and Mutagenesis 240
- Water Science and Technology 103
- Geochemistry and Petrology 81
Countries citing papers authored by Ning-Ning Wang
This map shows the geographic impact of Ning-Ning Wang'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 Ning-Ning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning-Ning Wang more than expected).
Fields of papers citing papers by Ning-Ning Wang
This network shows the impact of papers produced by Ning-Ning Wang. 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 Ning-Ning Wang. The network helps show where Ning-Ning Wang may publish in the future.
Co-authorship network of co-authors of Ning-Ning Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ning-Ning Wang. A scholar is included among the top collaborators of Ning-Ning Wang 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 Ning-Ning Wang. Ning-Ning Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 50 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | Antimony speciation in the environment: Recent advances in understanding the biogeochemical processes and ecological effectsbreakdown → | 386 |
| 13 | 147 | |
| 14 | 54 | |
| 15 | 1 | |
| 16 | Disability, Health, Independent Living, and Rehabilitation Research Leaders from Traditionally Underrepresented Racial and Ethnic Populations: Career Development and Success Factors | 2 |
| 17 | 0 |
About Ning-Ning Wang
Ning-Ning Wang is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Environmental Chemistry, having authored 17 papers that have together received 683 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Arsenic contamination and mitigation (4 papers) and Heavy metals in environment (3 papers). The work is most often cited by research in Environmental Chemistry (427 citations), Pollution (375 citations) and Health, Toxicology and Mutagenesis (240 citations). Ning-Ning Wang has collaborated with scholars based in China. Frequent co-authors include Mengchang He, Aihua Wang, Linghao Kong, Ying Wang, Qianyun Zhong, Chengjun Zhang, Congli Ma, Jun Shan, Suhuan Zhang and Chunye Lin. Their work appears in journals such as Physical Review Letters, The Science of The Total Environment and Environmental Science and Pollution Research.
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.