Feifei Li
Impact in
-
- Toxic Organic Pollutants Impact
- Air Quality and Health Impacts
- Mercury impact and mitigation studies
- Environmental Chemistry top 10%
- Per- and polyfluoroalkyl substances research
Papers in
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- Air Quality and Health Impacts 6
- Toxic Organic Pollutants Impact 6
-
- Atmospheric chemistry and aerosols 6
- Atmospheric Ozone and Climate 3
- Co-authors
- Yawei Wang (13 shared papers)Guibin Jiang (10 shared papers)Anen He (6 shared papers)Yong Liang (4 shared papers)Xiaodong Jin (3 shared papers)Xiaogang Zheng (3 shared papers)Juan Li (2 shared papers)Huali Long (3 shared papers)
- Journals
- Environmental Pollution (3 papers)Environmental Science & Technology (3 papers)Knowledge-Based Systems (2 papers)The Science of The Total Environment (2 papers)eLife (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Feifei Li
28 papers receiving 387 citations
Peers
Comparison fields: 5 of 93
- Health, Toxicology and Mutagenesis 117
- Environmental Chemistry 86
- Atmospheric Science 69
- Pharmacology 23
- Pollution 32
Countries citing papers authored by Feifei Li
This map shows the geographic impact of Feifei Li'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 Feifei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Li more than expected).
Fields of papers citing papers by Feifei Li
This network shows the impact of papers produced by Feifei Li. 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 Feifei Li. The network helps show where Feifei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Li, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2020 | 46 | |
| 3 | 2015 | 34 | |
| 4 | 2020 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2023 | 16 | |
| 12 | 2025 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Feifei Li
Feifei Li is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Cell Biology, Molecular Biology and Environmental Chemistry, having authored 33 papers that have together received 393 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (6 papers), Air Quality and Health Impacts (6 papers), Toxic Organic Pollutants Impact (6 papers), Atmospheric Ozone and Climate (3 papers), Per- and polyfluoroalkyl substances research (3 papers), Stock Market Forecasting Methods (2 papers), Mesenchymal stem cell research (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (117 citations), Environmental Chemistry (86 citations), Atmospheric Science (69 citations), Pharmacology (23 citations) and Pollution (32 citations). Feifei Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yawei Wang, Guibin Jiang, Anen He, Yong Liang, Xiaodong Jin, Xiaogang Zheng, Juan Li, Huali Long, Min Lei and Jinjun Hou. Their work appears in journals such as Environmental Pollution, Environmental Science & Technology, Knowledge-Based Systems, The Science of The Total Environment and eLife.
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.