Hao Ai
Impact in
- Environmental Chemistry top 5%
- Arsenic contamination and mitigation
- Pollution top 10%
- Heavy metals in environment
Papers in
-
- Plant nutrient uptake and metabolism 15
- Plant Molecular Biology Research 9
- Plant Micronutrient Interactions and Effects 8
- Plant Stress Responses and Tolerance 6
- Legume Nitrogen Fixing Symbiosis 3
-
- Photosynthetic Processes and Mechanisms 6
- Co-authors
- Guohua Xu (12 shared papers)Yue Cao (7 shared papers)Dan Sun (3 shared papers)Yanshan Chen (3 shared papers)Q. Lena (3 shared papers)Hanyi Mei (2 shared papers)Shubin Sun (4 shared papers)Shubin Sun (7 shared papers)
- Journals
- Environmental Science & Technology (3 papers)Frontiers in Plant Science (2 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Genetics (2 papers)BMC Plant Biology (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Hao Ai
28 papers receiving 516 citations
Peers
Comparison fields: 5 of 42
- Environmental Chemistry 193
- Pollution 124
- Plant Science 363
- Health, Toxicology and Mutagenesis 39
- Geochemistry and Petrology 13
Countries citing papers authored by Hao Ai
This map shows the geographic impact of Hao Ai'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 Hao Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ai more than expected).
Fields of papers citing papers by Hao Ai
This network shows the impact of papers produced by Hao Ai. 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 Hao Ai. The network helps show where Hao Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 132 | |
| 2 | 2019 | 71 | |
| 3 | 2018 | 55 | |
| 4 | 2019 | 43 | |
| 5 | 2022 | 39 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2018 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2017 | 14 | |
| 11 | 2018 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Hao Ai
Hao Ai is a scholar working on Plant Science, Molecular Biology, Environmental Chemistry, Genetics and Pollution, having authored 29 papers that have together received 519 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (15 papers), Plant Molecular Biology Research (9 papers), Plant Micronutrient Interactions and Effects (8 papers), Photosynthetic Processes and Mechanisms (6 papers), Plant Stress Responses and Tolerance (6 papers), Arsenic contamination and mitigation (4 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Environmental Chemistry (193 citations), Pollution (124 citations), Plant Science (363 citations), Health, Toxicology and Mutagenesis (39 citations) and Geochemistry and Petrology (13 citations). Hao Ai has collaborated with scholars based in China, United States and India. Frequent co-authors include Guohua Xu, Yue Cao, Dan Sun, Yanshan Chen, Q. Lena, Hanyi Mei, Shubin Sun, Shubin Sun, Xue Liu and Yungen Liu. Their work appears in journals such as Environmental Science & Technology, Frontiers in Plant Science, International Journal of Molecular Sciences, Frontiers in Genetics and BMC Plant Biology.
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.