Nana Wu
- Health, Toxicology and Mutagenesis top 2%
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 5%
- Infectious Diseases top 10%
- Co-authors
- Qiang ZhangXiaona SongShuai SongVladimir StojanovićKebin HeGuannan GengBo ZhengYixuan Zheng
- Topics
- Atmospheric chemistry and aerosols (17 papers)Air Quality and Health Impacts (15 papers)Air Quality Monitoring and Forecasting (8 papers)
- Journals
- Environmental Science & TechnologyThe Science of The Total EnvironmentEnvironmental Pollution
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nana Wu
32 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Health, Toxicology and Mutagenesis 559
- Atmospheric Science 509
- Global and Planetary Change 317
- Environmental Engineering 285
- Infectious Diseases 146
Countries citing papers authored by Nana Wu
This map shows the geographic impact of Nana 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 Nana Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nana Wu more than expected).
Fields of papers citing papers by Nana Wu
This network shows the impact of papers produced by Nana 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 Nana Wu. The network helps show where Nana Wu may publish in the future.
Co-authorship network of co-authors of Nana Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Nana Wu. A scholar is included among the top collaborators of Nana 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 Nana Wu. Nana 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020breakdown → | 108 |
| 6 | 17 | |
| 7 | 2 | |
| 8 | Bipartite synchronization for cooperative-competitive neural networks with reaction–diffusion terms via dual event-triggered mechanismbreakdown → | 126 |
| 9 | 7 | |
| 10 | Long-term effectiveness of COVID-19 vaccines against infections, hospitalisations, and mortality in adults: findings from a rapid living systematic evidence synthesis and meta-analysis up to December, 2022breakdown → | 151 |
| 11 | 16 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 171 | |
| 15 | 5 | |
| 16 | 21 | |
| 17 | 142 | |
| 18 | 1 | |
| 19 | 42 | |
| 20 | 46 |
About Nana Wu
Nana Wu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (17 papers), Air Quality and Health Impacts (15 papers) and Air Quality Monitoring and Forecasting (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (559 citations), Atmospheric Science (509 citations) and Environmental Engineering (285 citations). Nana Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qiang Zhang, Xiaona Song, Shuai Song, Vladimir Stojanović, Kebin He, Guannan Geng, Bo Zheng, Yixuan Zheng, Chun‐Rong Chen and Yijun Zhang. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.
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.